Our Publications
2025
Diehl, K., Heppe, E., Vooren, M., Cornelisz, I. & van Klaveren, C., Labor market entry prospects of people with visual impairments: evidence from administrative register data in the Netherlands 15 Sept 2025, In: The European Journal of Health Economics.
Elsendoorn, B. C. H. M., Wauters, L., Tijsseling, C., Klaveren, C. P. B. J. V., Cornelisz, I. & Heppe, E. C. M. Examining employment outcomes of deaf and hard-of-hearing people in The Netherlands using non-public microdata, Feb 2025, In: WORK. 80, 2, p. 888-899 12 p.
De Croes, L.X., Cornelisz, I., Van Klaveren, C. & Ruijs N., The effect of students with special needs on their peers. (2025) In: Education Finance and Policy 20, 1, p. 56-84 29 p.
Elsendoorn, B. C. H. M., Wauters, L., Tijsseling, Van KLaveren C., Cornelisz I. & Heppe E., Examining employment outcomes of deaf and hard-of-hearing people in The Netherlands using non-public microdata (Feb 2025), In: Work 80, 2, p. 888-899 12 p.
Aydin, A., van Ballegooijen, W., Cornelisz, I. & Etzelmueller, A., Evaluating the feasibility of using the Multiphase Optimization Strategy framework to assess implementation strategies for digital mental health applications activations: a proof of concept study (2025) In: Frontier in Digital Health 7, p. 1-14 14 p., 1509415.
Eegdeman, I., Plak, S. & Meeter, M., Relating students’ motivation trajectories in the first nine weeks of their vocational education program to dropout and persistence Aug 2025, In: Motivation and Emotion. 49, 4, p. 364-383 20 p.
de Vries, N., Merkle, B., Meeter, M., Janke, S., Bakker, T. C. & Huizinga, M., Predicting program-specific first-year persistence in higher education using a person-environment fit perspective 13 May 2025, In: European Journal of Higher Education.
van den Helder, C., Plak, R., Begeer, S. & Meeter, M., Co-occurring Conditions and Quality of Life in Autistic Children Attending General Education or Special Education Schools 7 May 2025, (E-pub ahead of print) In: Journal of Autism and Developmental Disorders.
de Bruijn, A. G. M., Ehren, M. C. M., Meeter, M. & Kortekaas-Rijlaarsdam, A.F., School and student characteristics related to primary and secondary school students’ social–emotional functioning Feb 2025, In: Frontiers in Education 10, 1514895.
Eding, M. L., Meeter, M. & Schuengel, C., Dynamic testing of learning potential of children with moderate to severe intellectual disabilities: A Delphi study Jan 2025, In: Journal of Research in Special Educationa; Needs. 25, 1, p. 32-43 12 p.
Vu, T. V., Meeter, M., Hofman, A., Jansen, B., Magis-Weinberg, L., van Triest, E. & van Atteveldt, N. Academic motivation–achievement cycle and the behavioural pathways: A short-timeframe experiment with manipulated perceived achievement 2025, (Accepted/In press) In: British Journal of Educational Psychology. 95, 2, p. 683-722
Cauchi, C. & Meeter, M., Tracking the Effects of Eccentricity on the Integration of Orthographic Information From Multiple Words 2025, In: Journal of Cognition. 8, 1, p. 35
ten Hove, D., Jorgensen, T. D. & van der Ark, L. A., How to Estimate Intraclass Correlation Coefficients for Interrater Reliability from Planned Incomplete Data 2025, (E-pub ahead of print) In: Multivariate Behavioral Research. 20 p.
ten Hove, D, Jorgensen, T. D. & van der Ark, L. A., Interrater Reliability for Interdependent Social Network Data: A Generalizability Theory Approach (2025) In: Multivariate Behavioral Research.
Fleck, L., Somers, M. Stolp, T., Groot, W., van Merode, F. & de Vries, R., The Effectiveness of Interventions to Increase Employment in Education and Healthcare: A Systematic Literature Review Mar 2025, In: De Economist 173, 1, p. 1-45 45 p.
Cuijpers, P., Harrer, M., Miguel, C., Ciharova, M., Papola, D., Basic, D., Botella, C., Cristea, I., de Ponti, N., Donker, T., Driessen, E., Franco, P., Gómez-Gómez, I., Hamblen, J., Jiménez-Orenga, N., Karyotaki, E., Keshen, A., Linardon, J., Motrico, E. & Matbouriahi, M. & 13 others, Cognitive Behavior Therapy for Mental Disorders in Adults: A Unified Series of Meta-Analyses, Jun 2025, In: JAMA Psychiatry. 82, 6, p. 563-571 9 p.
Harrer, M., Miguel, C., van Ballegooijen, W., Ciharova, M., Plessen, C. Y., Kuper, P., Sprenger, A. A., Buntrock, C., Papola, D., Cristea, I. A., de Ponti, N., Bašić, Đ., Pauley, D., Driessen, E., Quero, S., Grimaldos, J., Buendía, S. F., Botella, C., Hamblen, J. L. & Schnurr, P. P. & 15 others, , Effectiveness of Psychotherapy: Synthesis of a “Meta-Analytic Research Domain” Across World Regions and 12 Mental Health Problems May 2025, In: Psychological bulletin. 151, 5, p. 600-667 68 p.
Dikmans, M., FFT Reciprocal Reading 2025, Maastricht University, Research Centre for Education and the Labour Market, p. 1-5, (ROA Education Lab Praktijkkaarten; No. 001).
Bogaers, I., Camphuijsen, M. K., Grijpma, J. W., de la Croix, A. & van der Veen, C., Verschillende stemmen van stilte Een Q-methodologische studie naar docentpercepties over stilte in de klas Jun 2025.
Buijs, R. J. W., van der Mei, R. D., Dugundji, E. R. & Bhulai, S., An effective aggregation heuristic for Capacitated Facility Location Problems with many demand points Nov 2025, In: Computers and Operations Research. 183, p. 1-28 28 p., 107153.
van der Sar, E., Zocca, A. & Bhulai, S., Optimizing Power Grid Topologies with Reinforcement Learning: A Survey of Methods and Challenges 11 Apr 2025, arXiv, 60 p.
Salmi, S., Mérelle, S., van Eijk, N., Gilissen, R., van der Mei, R. & Bhulai, S., Real-time assistance in suicide prevention helplines using a deep learning-based recommender system: A randomized controlled trial Mar 2025, In: International journal of medical informatics. 195, p. 1-7 7 p., 105760.
Gansekoele, A., Balatsoukas-Stimming, A., Brusse, T., Hoogendoorn, M., Bhulai, S. & Van Der Mei, R., Joint Demapping of QAM and APSK Constellations Using Machine Learning 2025, In: IEEE Open Journal of the Communications Society. 6, p. 1695-1709 15 p.
van der Sar, E., Zocca, A. & Bhulai, S. Optimizing Power Grid Topologies with Reinforcement Learning: A Survey of Methods and Challenges 2025, In: Foundations and Trends in Electric Energy Systems. 9, 1, p. 1-119 119 p.
Middelkoop, J. M., Celi, F., Faggiani, A., Hummel, H., Bhulai, S., Tesei, A., Been, R. & Ferri, G., Optimizing Source Localization via Reinforcement Learning in Multi-Agent U nderwater Networks2025, OCEANS 2025 Brest: [Proceedings].Institute of Electrical and Electronics Engineers Inc., p. 1-10 10 p. (Oceans Conference Record (IEEE)).
2024
Bles, P., Ruijs, N. & van Klaveren, C., Evaluating the Waterbed Effect of a Dutch funding policy change on teacher turnover. 25 Oct 2024, (Unpublished).
Cornelisz, I., Van Klaveren, C., Stolp, T. & de Wolf, I., Interventies om het lerarentekort bij achterstandsscholen te verkleinen 4 Sept 2024, Netherlands: ROA, (ROA Fact Sheets).
Ruijs, N., Bles, P., Bransen, D., Camphuijsen, M.K., Corvers, F., de Vries, P., Ehren, M., Griep, M., van Klaveren, C., Rongen, T., Stolp, T. & De Wolf, I., Kansrijke interventies om leraren aan te trekken en te behouden Sept 2024, Education Lab.
Vooren, M., Cornelisz, I., Meeter, M. & van Klaveren, C., Bindend studieadvies helpt studenten niet 22 Aug 2024, In: Economische-Statistische Berichten. 109, 4836, p. 351-353 3p.
van Klaveren, C., Empirical methodological innovation through purposeful combination of causal and predictive models 23 May 2024, Amsterdam: Vrije Universiteit.
van Klaveren, C., Empirische methodologische innovatie door doelgericht combineren van causale en predictieve modellen Translated title of the contribution: Empirical methodological innovation through purposeful combination of causal and predictive models 23 May 2024, Amsterdam: Vrije Universiteit. 22 p.
Diaz Lema, M., Vooren, M. Cannistrà, M., van Klaveren, C., Agasisti, T. & Cornelisz, I., 2024, Predicting dropout in Higher Education across borders In: Studies in Higher Education. 49, 1, p. 141-156 16 p.
Jongma, M. V., Scholten, D. J., Vuuregge, A. H., Bollen, Y., Meeter, M. & van Muijlwijk-Koezen, J. E., More Engaged and Prepared Students with an Online Prelab Module in Large Undergraduate Biochemistry Laboratory Courses 10 Dec 2024, In: Journal of Chemical Education. 101, 12, p. 5192-5202 11 p.
Liu, M., Vu. T., van Atteveldt, N. & Meeter, M., Correction: Liu et al. (2023). Testing the Reciprocal Effect between Value of Education, Time Investment, and Academic Achievement in a Large Non-Western Sample. Journal of Intelligence 11: 1333. 14 Nov 2024, In: Journal of Intelligence. 12, 11
Lopes Rego, A. T., Snell, J. & Meeter, M., Language models outperform cloze predictability in a cognitive model of reading Sept 2024, In: PLoS Computational Biology. 20, 9, p. 1-24 24 p., e1012117.
de Vries, N., Meeter, M., Jansen, B. R. J. & Huizinga, M., A mediated model of study choice profiles and person-environment fit with bachelor’s program as predictors of academic success in higher education Aug 2024, In: Learning and Individual Differences. 114, p. 1-18 18 p., 102512.
de Vries, N., Meeter, M. & Huizinga, M., Why, When, and for Whom Does Career Education in Secondary Schools Work? A Qualitative Study of Stakeholders’ Perspectives in The Netherlands 21 Jun 2024, In: Education Sciences. 14, 7, 681.
van den Helder, C., Plak, R., Meeter, M. & Begeer, S., Longitudinal Transition Between Regular and Special Education in Autistic Children: Predictors and Policy Effects 20 May 2024, (E-pub ahead of print) In: Journal of Autism and Developmental Disorders. 12 p.
Meeter, M., Beurtstokjes en andere zegeningen Translated title of the contribution: The blessings of evidence-based education In: Didactief. 2024, februari
Jongsma, M. V., Scholten, D. J., Houtkamp, J., Meeter, M. & van Muijlwijk-Koezen, J. E., Enhancing trust, safety and quality: exploring the role of dialogue in peer feedback on professional competencies 2024, In: Cogent Education. 11, 1, p. 1-16 16 p., 2349355.
Seijdel, N., Stolwijk, G., Janicas, B., Snell, J. & Meeter, M., Explaining the Sentence Superiority Effect and N400s Elicited by Words and Short Sentences with OB1-Reader 2024, In: Journal of Cognition. 7, 1, p. 34 34.
Grijpma, J. W., Ramdas, S., Broeksma, L., Meeter, M., Kusurkar, R. A. & de la Croix, A., Learning from the Experts: Stimulating Student Engagement in Small-group Active Learning 2024, In: Perspectives on Medical Education. 13, 1, p. 229-238 10 p.
Prins, J., van der Veen, C. & Meeter, M., Nature play in early childhood leads to great and varied language production [pre-print] 2024, (Unpublished) In: Research Square.
Vu, T. V., Scharmer, A. L., van Triest, E., van Atteveldt, N. & Meeter, M., The reciprocity between various motivation constructs and academic achievement: a systematic review and multilevel meta-analysis of longitudinal studies 2024, In: Educational Psychology. 44, 2, p. 136-170 35 p.
Smits-van der Nat, M. van der Wilt, F., Meeter, M. & van der Veen, C., The Value of Pretend Play for Social Competence in Early Childhood: A Meta-analysis 2024, In: Educational Psychology Review. 36, p. 1-26 26 p., 46.
Shvets, O., Murtazin, K., Meeter, M. & Piho, G., Towards a Domain Model for Learning and Teaching 2024, Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering: Volume 1. Domínguez Mayo, F. J., Pires, L. F. & Seidewitz, E. (eds.). Science and Technology Publications, Lda, Vol. 1. p. 288-296 9 p. (International Conference on Model-Driven Engineering and Software Development).
Glas, C. A. W., Jorgensen, T. D. & Hove, D.T., Reducing Attenuation Bias in Regression Analyses Involving Rating Scale Data via Psychometric Modeling Mar 2024, In: Psychometrika. 89, 1, p. 42-63 22 p.
Kan, K.-J., Psychogyiopoulos, A., Groot, L. J., de Jonge, H. & ten Hove, D., Why Do Bi-Factor Models Outperform Higher-Order g Factor Models? A Network Perspective Feb 2024, In: Journal of Intelligence. 12, 2, p. 1-25 25 p., 18.
Heppe, E.C.M., Kupersmidt, J. B. & Kef, S., Reasons for Premature Closure of a Mentoring Relationship: A Qualitative Study of Mentoring Youth With a Visual Impairment May 2024, In: Journal of Adolescent Research. 39, 3, p. 711-745 35 p.
Somers, M., Stolp, T., Burato, F., Groot, W., van Merode, F. & Vooren, M., Increasing the working hours of nurses and teachers: Evidence from a discrete choice experiment 30 Oct 2024, Maastricht: ROA, 37 p. (ROA Research Memoranda; No. 005E).
Increasing the working hours of nurses and teachers: Evidence from a discrete choice experiment 14 Nov 2024, Maastricht: Maastricht University, Graduate School of Business and Economics, 37 p. (GSBE Research Memoranda; No. 014).
Maitra, R., Lemmers-Jansen, I.L.J., Vooren, M., Vanes, L., Szentgyorgyi, T., Crisp, C., Mouchlianitis, E. & Shergill, S. S., Understanding the mechanisms underlying cognitive control in psychosis Aug 2024, In: Psychological Medicine. 54, 11, p. 3015–3024 10 p.
Cuijpers, P., Miguel, C., Ciharova, M., Harrer, M., Basic, D., Cristea, I. A., de Ponti, N., Driessen, E., Hamblen, J., Larsen, S. E., Matbouriahi, M., Papola, D., Pauley, D., Plessen, C. Y., Pfund, R. A., Setkowski, K., Schnurr, P., van Ballegooijen, W., Wang, Y. & Riper, H. & 4 others, Absolute and relative outcomes of psychotherapies for eight mental disorders: a systematic review and meta-analysis Jun 2024, In: World Psychiatry 23, 2, p. 267-275 9 p.
Ciharova, M., Karyotaki, E., Miguel, C., Walsh, E., de Ponti, N., Amarnath, A., Ballegooijen, W.V., Riper, H., arroll, B. & Cuijpers, Cuijpers, P., Amount and frequency of psychotherapy as predictors of treatment outcome for adult depression: A meta-regression analysis May 2024, In: Journal of Affective Disorders. 359, p. 92-99
de Ponti, N., Matbouriahi, M., Franco, P., Harrer, M., Miguel, C., Papola, D., Sicimoğlu, A., Cuijpers, P. & Karyotaki, E., The efficacy of psychotherapy for social anxiety disorder, a systematic review and meta-analysis May 2024, In: Journal of Anxiety Disorders. 104, 102881.
Tröger, A., Miguel, C., Ciharova, M., de Ponti, N., Durman, G., Cuijpers, P. & Karyotaki, E., Baseline depression severity as moderator on depression outcomes in psychotherapy and pharmacotherapy 1 Jan 2024, In: Journal of Affective Disorders. 344, p. 86-99 14 p.
van der Ven, E., Olino, T. M., Diehl, K., Nuñez, S. M., Thayer, G., Bridgwater, M. A., Ereshefsky, S., Musket, C., Lincoln, S. H., Rogers, R. T., Klaunig, M. J., Soohoo, E., DeVylder, J. E., Grattan, R. E., Schiffman, J., Ellman, L. M., Niendam, T. A. & Anglin, D. M., Ethnoracial Risk Variation Across the Psychosis Continuum in the US: A Systematic Review and Meta-Analysis May 2024, In: JAMA Psychiatry. 81, 5, p. 447-455 9 p.
Levatino, A., Verger, A., Camphuijsen, M., Termes, A. & Parcerisa, L., School Governance Through Performance-Based Accountability: A Comparative Analysis of Its Side Effects Across Different Regulatory Regimes Mar 2024, In: Review of Research in Education. 48, 1, p. 248-286 39 p.
Verger, A., Parcerisa, L., Pagès, M. & Camphuijsen, M., School autonomy with accountability as a cross-national policy model: diverse adoptions, practices and impacts 2024, In: Nordic Journal of Studies in Educational Policy 10, 3, p. 167-179 13 p.
Vugt, L. van, M. Levels, R. van der Velden (2024), The Low Skills Trap: The Failure of Education and Social Policies in Preventing Low-Literate Young People from being Long-Term NEET, Journal of Youth Studies 27(2): 217-251. Published online: 9 September 2022.
Kovačević, M., T. Dekker, R. van der Velden (2024), Liberal Arts Graduates in the Labour Market: A Comparative Study of Dutch University Colleges and Conventional Bachelor’s Programmes, Research in Higher Education, 65, 1911–1933. Published online 30 July 2024
van de Bijl, E., Klein, J., Pries, J., Bhulai, S., Hoogendoorn, M. & van der Mei, R., The d utch draw: constructing a universal baseline for binary classification problems 19 Sept 2024, (E-pub ahead of print) In: Advances in Applied Probability. p. 1-19 19 p.
Lan, L., van Doorn, J. M. H., Wouda, N. A., Rijal, A. & Bhulai, S. An Iterative Sample Scenario Approach for the Dynamic Dispatch Waves Problem , Aug 2024, In: Transportation Science. 58, 4, p. 726-740 15 p.
Hummel, H. I., van der Mei, R. & Bhulai, S., A survey on machine learning in ship radiated noise, 15 Apr 2024, In: Ocean Engineering. 298, p. 1-24 24 p., 117252.
Salmi, S., van der Mei, R., Mérelle, S. & Bhulai, S., Topic modeling for conversations for mental health helplines with utterance embedding Mar 2024, In: Telematics & Informatics Reports. 13, p. 1-7 7 p., 100126.
Gansekoele, A., Balalsoukas-Slimming, A., Brusse, T., Hoogendoorn, M., Bhulai, S. & Van Der Mei, R., A Machine Learning Approach for Simultaneous Demapping of QAM and APSK Constellations 2024, 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN): [Proceedings]. Institute of Electrical and Electronics Engineers Inc., p. 13-18 6 p.
Gansekoele, A., Hess, E. & Bhulai, S., 2024, 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA): [Proceedings]. Awaysheh, F. M., Alawadi, S., Alawadi, S., Carnevale, L., Lloret Mauri, J. & Alsmirat, M. (eds.) Meta-Learning for Federated Face Recognition in Imbalanced Data Regimes Institute of Electrical and Electronics Engineers Inc., p. 24-31 8 p.
Perugachi-Diaz, Y., Gansekoele, A. & Bhulai, S., Robustly overfitting latents for flexible neural image compression 2024, Advances in Neural Information Processing Systems 37 (NeurIPS 2024): [Proceedings]. Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Neural information processing systems foundation, p. 1-29 29 p. (Advances in Neural Information Processing Systems; vol. 2024).
Salmi, S., Mérelle, S., Gilissen, R., Mei, R. V. D. & Bhulai, S., The Most Effective Interventions for Classification Model Development to Predict Chat Outcomes Based on the Conversation Content in Online Suicide Prevention Chats: Machine Learning Approach 2024, In: JMIR mental health. 11, p. 1-11 11 p., e57362.
Bakker, T.C., de Kraker, C.C., Eegdeman, I.M., Saçan, E., & van Leeuwen, A. (2024). AI en kansengelijkheid. Visie op de impact van AI op kansengelijkheid in het vervolgonderwijs (pp. 1–56). Utrecht. Npuls.
Eegdeman, I. (2024). Studentuitval voorkomen door verklaren en voorspellen.
2023
Savi, A. O., Klaveren, C.V. & Cornelisz, I., Combating effort avoidance in computer adaptive practicing: Does a problem-skipping restriction promote learning? Dec 2023, In: Computers and Education. 206, p. 1-24 24 p., 104908.
Donker T., Fehribach, J. R., Van Klaveren, C., Cornelisz, I., Toffolo, M.B.J., Van Straten, A., & Van Gelder, J. L., Automated mobile virtual reality cognitive behavior therapy for aviophobia in a natural setting: a randomized controlled trial Oct 2023, In: Psychological Medicine 53, 13, p. 6232-6241 10 p.
Abi Ramia, J., Khoury, S., Cuijpers, P., Heim, E., Burchert , S., Cornelisz, I., van Klaveren, C., Sijbrandij, M. & El Chammay, R., Evaluation of a digital intervention for depression among Lebanese & Syrian refugees in Lebanon Oct 2023, In: European Journal of Public Health. 33, Suppl 2, p. 249-250 2 p., ckad160.633.
Vooren, M., Rud, I., Cornelisz, I., Van Klaveren, C., Groot, W. & Maassen van den Brink, H., The effects of a restorative justice programme (Halt) on educational outcomes and recidivism of young people Sept 2023, In: Journal of Experimental Criminology. 19, 3, p. 691-711 21 p.
Eegdeman, I., Cornelisz, I., Meeter, M.. & van Klaveren, C., Identifying false positives when targeting students at risk of dropping out 4 May 2023, In: Education Economics. 31, 3, p. 313-325 13 p.
Bakkum, L., Verhage, M.L., Schuengel, C., Duschinsky, R., Cornelisz, I., Van Klaveren, C., Van IJzendoorn, M. H., Raby, K. L., Roisman, G. I., Bakermans-Kranenburg, M. J., Oosterman, M., Madigan, S., Fearon, R. M. P. & Behrens, K. Y., Exploring the meaning of unresolved loss and trauma in more than 1,000 Adult Attachment Interviews May 2023, In: Development and Psychopathology. 35, 2, p. 587-603 17 p.
Cuijpers, P., Heim, E., Ramia, J. A., Burchert, S., Carswell, K., Cornelisz, I., Knaevelsrud, C., Noun, P., van Klaveren, C., Van’t Hof, E., Zoghbi, E., van Ommeren, M. & El Chammay, R., Correction: Effects of a WHO-guided digital health intervention for depression in Syrian refugees in Lebanon: A randomized controlled trial Apr 2023, In: PLoS Medicine. 20, 4, p. e1004231
Plak, S., van Klaveren, C. & Cornelisz, I., Raising student engagement using digital nudges tailored to students’ motivation and perceived ability levels Mar 2023, In: British Journal of Educational Technology. 54, 2, p. 554-580 27 p.
Heppe, E.C.M., van Klaveren, C., Cornelisz, I., Schuengel, C. & Kef, S., Heterogeneity in social participation among young people with vision impairment 2023, In: Britisch Journal of Visual Impairment. 42, 3, p. 599-611
van Halem, N., Cornelisz, I., Daly, A. & van Klaveren, C., Identifying high impact school improvements using conditional mean independent correlations and growth functions 2023, In: International Journal of Research and Method in Education. 46, 2, p. 211-228 18 p.
Klaveren, C.V. & Cornelisz, I., Purposes of Education: The Iterative 5D Model for Sustainable Improvement of Educational Quality 2023, Economic Foundations of Education. Choi, A. (ed.). Hart Publishing, an imprint of Bloomsbury Publishing Plc, p. 35-58 24 p.
Scherder, R. J., van Dorp, M. J., Prins, A.J., van Klaveren, C., Cornelisz, I., Killestein, J. & Weinstein, H. C.,Rest-Activity Rhythm, Pain, and Motor Activity in Multiple Sclerosis 2023, In: International journal of MS care. 25, 4, p. 157-162 6 p.
Dijkstra, F. S., de la Croix, A., van Schuppen, H., Meeter, M. & Renden, P. G., When routine becomes stressful: A qualitative study into resuscitation team members’ perception of stress and performance 21 Dec 2023, In: Journal of Interprofessional Care. 38, 2, p. 191-199
Tsai, Y. H., Janssen, T. W. P., Vu, T. V., Meeter, M., van Atteveldt, N. M., Jansen, B. R. J. & Magis-Weinberg, L., Trajectories of early adolescents’ perceptions of school motivation and effort during the pandemic in Perú: A four time point longitudinal observational study Sept 2023, In: Acta Psychologica. 239, p. 1-10 10 p., 103984.
Nieuwenhuis, S., van der Mee, D., Janssen, T., Verstraete, L. L. L., Meeter, M. & van Atteveldt, N., Growth mindset and school burnout symptoms in young adolescents: the role of vagal activity as potential mediator 13 Jul 2023, In: Frontiers in Psychology. 14, 1176477.
Liu, M., Vu, T. V., van Atteveldt, N. & Meeter, M., Testing the Reciprocal Effect between Value of Education, Time Investment, and Academic Achievement in a Large Non-Western Sample Jul 2023, In: Journal of Intelligence.11, 7, p. 1-22 22 p., 133.
Nieuwenhuis, S., Janssen, T. W. P., van der Mee, D. J., Rahman, F. A., Meeter, M. & van Atteveldt, N. M., A Novel Approach to Investigate the Impact of Mindset and Physiology on the Choice to Invest Effort During an Arithmetic Task May 2023, In: Mind, Brain, and Education. 17, 2, p. 123-131 9 p.
Jongsma, M. V., Scholten, D. J., van Muijlwijk-Koezen, J. E. & Meeter, M., Online Versus Offline Peer Feedback in Higher Education: A Meta-Analysis Apr 2023, In: Journal of Educational computing research. 61, 2, p. 329-354 26 p.
Meeter, M., Onderwijsachterstanden wegwerken, weten we wel hoe dat moet?Translated title of the contribution: Remediating learning arrears, do we know how to do that? Mar 2023, In: Didactief.
Bakker, T., Krabbendam, L., Bhulai, S., Meeter, M. & Begeer, S., Study progression and degree completion of autistic students in higher education: a longitudinal study Jan 2023, In: Higher Education. 85, 1, p. 1-26 26 p.
de Bruijn, A. G. M. & Meeter, M., Catching up after COVID-19: do school programs for remediating pandemic-related learning loss work? 2023, In: Frontiers in Education. 8, 1298171.
de Vries, N, Meeter, M. & Huizinga, M. Effect of Interest Fit on Academic Success in Higher Education: Meta-Analysis and Systematic Review 2023.
de Vries, N., Meeter, M., Jansen, B. R. J. & Huizinga, M. Identity and vocational interests as predictors of academic success in higher education, 2023
de Vries, N., Meeter, M., Jansen, B. R. J. & Huizinga, M. Interesse en identiteit als voorspellers van studiesucces in het hoger onderwijs, 2023.
Smits, M., van der Wilt, F., van der Veen, C & Meeter, M., LINKS BETWEEN NATURALISTIC PRETEND PLAY COMPLEXITY AND SOCIAL COMPETENCE IN EARLY CHILDHOOD EDUCATION, 2023.
Meeter, M., Predicting Retention in Higher Education from high-stakes Exams or School GPA 2023, In: Educational Assessment. 28, 1, p. 1-10 10 p.
Jak, S., Jorgensen, T. D., ten Hove, D. & Nevicka, B., Modeling Cluster-Level Constructs Measured by Individual Responses: Configuring a Shared Approach Sept 2023, In: Advances in Methods and Practices in Psychological Science. 6, 3, p. 1-18 18 p.
van der Veen, C., van Driel, S.D., ten Hove, D. & van der Wilt, F., The effect of interactive picture book reading on language competence in early childhood education Aug 2023.
ten Hove, D, Comparing Interrater Reliability Estimates across Estimators and Different Incomplete Observational Designs Jul 2023.
ten Hove, D. & Koopman, L., Estimating Interrater Reliability for Planned Missing Observational Designs 2023.
van der Ark, L. A., Jorgensen, T. D. & ten Hove, D., [Conference proceedings]. Wiberg, M., Molenaar, D., González, J., Kim, J.-S. & Hwang, H. (eds.). Springer, Factors affecting efficiency of interrater reliability estimates from planned missing data designs 2023, Quantitative Psychology: The 87th Annual Meeting of the Psychometric Society, Bologna, Italy, 2022 p. 1-15 15 p. (Springer Proceedings in Mathematics and Statistics; vol. 422).
ten Hove, D. & de Croes, L., Interrater reliability estimation for policy research: An example from the Dutch Education Inspectorate 2023.
ten Hove, D., Interrater reliability for incomplete and dependent data 2023
De Ree, J., Maggioni, M. A., Paulle, B., Rossignoli, D., Ruijs, N., & Walentek, D. (2023). Closing the income-achievement gap? Experimental evidence from high-dosage tutoring in Dutch primary education. Economics of Education Review, 94, 102383. https://doi.org/10.1016/j.econedurev.2023.102383
Oosterbeek, H., Ruijs, N., & de Wolf, I. (2023). Heterogeneous effects of comprehensive vs. single-track academic schools: Evidence from admission lotteries. Economics of Education Review, 94, 102363. https://doi.org/10.1016/j.econedurev.2023.102363.
Dohmen, T., Rohde, I. M. T. & Stolp, T., Tournament incentives affect perceived stress and hormonal stress responses Sept 2023, In: Experimental Economics 26, 4, p. 955-985 31 p.
Stolp, T., Somers, M., Fleck, L., Groot, W. & van Merode, F., De effectiviteit van financiële prikkels om lerarentekorten aan te pakken. Een systematisch literatuuroverzicht 26 Jun 2023, In: Over.Werk. 33, 1, p. 37-46
Camphuijsen, M. K. & Stolp, T., Private provision of teaching services: Exploring trends and developments in temporary teachers in the Netherlands 1 Jan 2023, In: Revista Esponala de Educacion Comparada. 42, p. 44-62 19 p.
Camphuijsen, M.K. & Parcerisa, L., Teachers’ beliefs about standardised testing and test-based accountability: Comparing the perceptions and experiences of teachers in Chile and Norway Mar 2023, In: European Journal of Education. 58, 1, p. 67-82 16 p.
Kovačević, M., T. Dekker, R. van der Velden (2023), Employability Development in Undergraduate Programmes: How Different Is Liberal Arts Education? Teaching in Higher Education
Pries, J., Bhulai, S. & van der Mei, R., Active pairwise distance learning for efficient labeling of large datasets by human experts Nov 2023, In: Applied Intelligence. 53, 21, p. 24689-24708 20 p.
Pries, J., van de Bijl, E., Klein, J., Bhulai, S. & van der Mei, R.,The optimal input-independent baseline for binary classification: The Dutch Draw Nov 2023, In: Statistica Neerlandica. 77, 4, p. 543-554 12 p.
Sar, E. V. D., Zocca, A. & Bhulai, S. Multi-Agent Reinforcement Learning for Power Grid Topology Optimization, 4 Oct 2023.
van Ruitenbeek, R. E., Koole, G. M. & Bhulai, S., A hierarchical agglomerative clustering for product sales forecasting Sept 2023, In: Decision Analytics Journal. 8, p. 1-12 12 p., 100318.
de Boer, T. R., Mérelle, S., Bhulai, S., Gilissen, R. & van der Mei, R., Forecasting call and chat volumes at online helplines for mental health 27 May 2023, In: BMC Public Health. 23, p. 1-13 13 p., 984.
Berkelmans, G., Schweren, L., Bhulai, S., van der Mei, R. & Gilissen, R., Identifying populations at ultra-high risk of suicide using a novel machine learning method May 2023, In: Comprehensive Psychiatry. 123, p. 1-11 11 p., 152380.
Smit, Y., den Hengst, F., Bhulai, S. & Mehdad, E. Strategic Workforce Planning with Deep Reinforcement Learning , 2023, Machine Learning, Optimization, and Data Science: 8th International Conference, LOD 2022, Certosa di Pontignano, Italy, September 18–22, 2022, Revised Selected Papers, Part II. Nicosia, G., Giuffrida, G., Ojha, V., La Malfa, E., La Malfa, G., Pardalos, P., Di Fatta, G. & Umeton, R. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 2. p. 108-122 15 p.
Gansekoele, A., Bot, T., Van Der Mei, R., Bhulai, S. & Hoogendoorn, M. Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption , 2023, 2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT): [Proceedings].Institute of Electrical and Electronics Engineers Inc., p. 163-170 8 p.
Eegdeman, I. M. (2023). Enhancing Study Success in Dutch Vocational Education. [PhD-Thesis – Research and graduation internal, Vrije Universiteit Amsterdam].
2022
Cuijpers, P., Heim, E., Ramia, J. A., Burchert, S., Carswell, K., Cornelisz, I., Knaevelsrud, C., Noun, P., Van Klaveren, C., Van’t Hof, E., Zoghbi, E., Van Ommeren, M. & El Chammay, R., Guided digital health intervention for depression in Lebanon: randomised trial 19 Dec 2022, In: Evidence-Bases Mental Health. 25, e1, p. E34-E40 7 p.
Eegdeman, I., Cornelisz I., van Klaveren, C. & Meeter, M., Computer or teacher: Who predicts dropout best? 24 Nov 2022, In: Frontiers in Education. 7, p. 1-10 10 p., 976922.
Toffolo, M. B. J., Fehribach, J. R., van Klaveren, C.P.B.J., Cornelisz, I., van Straten, A., van Gelder, J. L. & Donker, T., Automated app-based augmented reality cognitive behavioral therapy for spider phobia: Study protocol for a randomized controlled trial 13 Jul 2022, In: PLoS ONE. 17, 7, p. 1-18 18 p., e0271175.
Cuijpers, P., Heim, E., Abi Ramia, J., Burchert, S., Carswell, K., Cornelisz, I., Knaevelsrud, C., Noun, P., van Klaveren, C., Van’t Hof, E., Zoghbi, E., van Ommeren, M. & El Chammay, R., Effects of a WHO-guided digital health intervention for depression in Syrian refugees in Lebanon: A randomized controlled trial Jun 2022, In: PLoS Medicine. 19, 6, p. 1-15 15 p., e1004025.
Cornelisz, I. & van Klaveren, C., Recurrent individual treatment assignment: a treatment policy approach to account for heterogeneous treatment effects 4 Feb 2022, In: npj Science of Learning 7, p. 1-11 11 p., 3.
Plak, S., Cornelisz, I., Meeter, M. & van Klaveren, C., Early warning systems for more effective student counselling in higher education: Evidence from a Dutch field experiment 1 Jan 2022, In: Higher Education Quarterly 76, 1, p. 131-152 22 p.
Cornelisz, I. [Book review of:] Big Data on Campus. Data Analytics and Decision Making in Higher Education. Karen L.Webber, Henry Y.Zheng Oct 2022, In: Higher Education Quarterly. 5 p.
Meeter, M.,Klassenmanagement, problematisch leergedrag en ziekteverzuim Translated title of the contribution: Class management, problematic student behavior and teacher retention 18 Nov 2022
Janssen, T. W. P., Nieuwenhuis, S., Altikulaç, S., Tuong, V. V., Meeter, M., Bonte, M., Jansen, B. R. J., Magis-Weinberg, L. & Van Atteveldt, N., Mindset and effort during a self-adapted arithmetic task: Variable- and person-oriented approaches Nov 2022, In: Learning and Motivation. 80, p. 1-14 14 p., 101840.
Meeter, M., Klassenmanagement, de leraar en de school Translated title of the contribution: class management, the teacher and the school, 7 Oct 2022
Dekker, I. & Meeter, M., Kritiek op evidencebased education terecht? 6 Oct 2022
Salet, J. M., Kruijne, W., van Rijn, H., Los, S. A. & Meeter, M., FMTP: A Unifying Computational Framework of Temporal Preparation Across Time Scales Oct 2022, In: Psychological Review. Psychological Review. 129, 5, p. 1-38 38 p.
Dekker, I. & Meeter, M., Evidence-based education: Objections and future directions 26 Aug 2022, In: Frontiers in Education. 7, p. 1-9 9 p., 941410.
Ehren, M. & Meeter, M., Doe Iets! Translated title of the contribution: Do something! 9 Jun 2022
Snell, J., Grainger, J. & Meeter, M., Relative letter-position coding revisited Jun 2022, In: Psychonomic Bulletin and Review. 29, 3, p. 995-1002 8 p.
Bruijniks, S. J. E., Meeter, M., Lemmens, L., Peeters, F., Cuijpers, P., Renner, F. & Huibers, M. J. H., Mechanistic pathways of change in twice weekly versus once weekly sessions of psychotherapy for depression Apr 2022, In: Behaviour Research and Therapy. 151, p. 1-12 12 p., 104038.
Grijpma, J. W., Vossen, M. M. D., Kusurkar, R. A., Meeter, M. & Croix, A., Medical student engagement in small‐group active learning: A stimulated recall study Apr 2022, In: Medical Education. 56, 4, p. 432-443 12 p.
Bruijniks, S. J. E., Meeter, M., Lemmens, L. H. J. M., Peeters, F., Cuijpers, P. & Huibers, M. J. H., Temporal and specific pathways of change in cognitive behavioral therapy (CBT) and interpersonal psychotherapy (IPT) for depression Apr 2022, In: Behaviour Research and Therapy. 151, p. 1-13 13 p., 104010.
Grijpma, J. W., de la Croix, A., Meeter, M. & Kusurkar, R. A., Changes in student appreciation of small-group active learning: A follow-up q-methodological study Jan 2022, In: International Journal of Educational Research Open. 3, 100199.
Meij, E., Smits, A. & Meeter, M., How and why learning theories are taught in current Dutch teacher education programs. Identifying a gap between paradigm and reality in teacher education Jan 2022, In: Teaching and Teacher Education. 109, p. 1-11 11 p., 103537.
Ottenhof, K., Westbroek, H., van Muijlwijk-Koezen, J., Meeter, M. & Janssen, F., Enhancing ecological hierarchical problem-solving with domain-specific question agendas 2022, In: International Journal of Science Education. 44, 17, p. 2565-2588 24 p.
Vu, T. V., Magis-Weinberg, L., Jansen, B. R. J., van Atteveldt, N., Janssen, T. W. P., Lee, N. C., van der Maas, H. L. J., Raijmakers, M. E. J., Sachisthal, M. S. M. & Meeter, M., Motivation-achievement cycles in learning: A literature review and research agenda: a Literature Review and Research Agenda 2022, In: Educational Psychology Review. 34, 1, p. 39-71 33 p.
Cox, W. R., Meeter, M., Kindt, M. & van Ast, V. A., Time-Dependent Emotional Memory Transformation: Divergent Pathways of Item Memory and Contextual Dependency 2022, In: Journal of Experimental Psychology: General. 152, 3, p. 733-748 16 p.
Hove, D. T., Jorgensen, T. D. & van der Ark, L. A., Updated Guidelines on Selecting an Intraclass Correlation Coefficient for Interrater Reliability, With Applications to Incomplete Observational Designs 2022, In: Psychological Methods. 29, 5, p. 967-979
Vooren, M., Haelermans, C., Groot, W. & Maassen van den Brink, H., Make IT Work: The Labor Market Effects of Information Technology Retraining in the Netherlands Aug 2022, In: De Economist. 170, 3, p. 323-342 20 p.
Vooren, M., Promotiebespreking: Melvin Vooren 24 Jan 2022, In: Economisch-Statistische Berichten. 107, 4805.
Vooren, M., Essays on human capital formation and active labor market policies ., 21 Jan 2022, Amsterdam: Top Institute for Evidence Based Education Research (TIER). 189 p.
Vooren, M., Haelermans, C., Groot, W. & van den Brink, H. M., Comparing success of female students to their male counterparts in the STEM fields: an empirical analysis from enrollment until graduation using longitudinal register data 3 Jan 2022, In: International Journal of STEM Education. 9, p. 1-17 17 p., 1.
Haelermans, C., M. Jacobs, R. van der Velden, L. van Vugt, l., S. van Wetten (2022), Inequality in the effects of primary school closures due to the Covid-19 pandemic: evidence from the Netherlands. In AEA papers and proceedings (vol. 112, pp. 303-307). American Economic Association.
The Dutch ICU Data Sharing Against COVID-19 Collaborators, Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning 1 Dec 2022, In: Annals of Intensive Care. 12, 1, 99.
Arntzen, R. J., Bekker, R., Smeekes, O. S., Buurman, B. M., Willems, H. C., Bhulai, S. & van der Mei, R. D., Reduced Waiting Times by Preference-Based Allocation of Patients to Nursing Homes 1 Dec 2022, In: Journal of the American Medical Directors Association. 23, 12, p. 2010-2014.e1
Zobernig, V., Saldanha, R. A., He, J., Sar, E. V. D., Doorn, J. V., Hua, J.-C., Mason, L. R., Czechowski, A., Indjic, D., Kosmala, T., Zocca, A., Bhulai, S., Arvizu, J. M., Klöckl, C. & Moriarty, J., RangL: A Reinforcement Learning Competition Platform 28 Jul 2022.
Huizing, D., van der Mei, R., Schäfer, G. & Bhulai, S., The enriched median routing problem and its usefulness in practice Jun 2022, In: Computers and Industrial Engineering. 168, p. 1-14 14 p., 108063.
van Ruitenbeek, R. E. & Bhulai, S.,Multi-view damage inspection using single-view damage projection May 2022, In: Machine Vision and Applications. 33, 3, p. 1-11 11 p., 46.
van der Mei, R. & Bhulai, S. A data-driven approach to deriving closed-form approximations for queueing problems using genetic algorithms, Apr 2022, In: Queueing Systems. 100, 3-4, p. 549-551 3 p.
Salmi, S., Mérelle, S., Gilissen, R., van der Mei, R. & Bhulai, S., Detecting changes in help seeker conversations on a suicide prevention helpline during the COVID− 19 pandemic: in-depth analysis using encoder representations from transformers 18 Mar 2022, In: BMC Public Health. 22, p. 1-10 10 p., 530.
Slik, J. & Bhulai, S., Understanding Human Mobility for Data-Driven Policy Making 2022, Innovations for Community Services : 22nd International Conference, I4CS 2022, Delft, The Netherlands, June 13–15, 2022, Proceedings. Phillipson, F., Eichler, G., Erfurth, C. & Fahrnberger, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 155-167 13 p. (Communications in Computer and Information Science; vol. 1585 CCIS).
2021
Savi, A. O., Cornelisz, I., Sjerps, M. J., Greup, S. L., Bres, C. M. & Klaveren, C. V., Balancing Trade‐Offs in the Detection of Primary Schools at Risk Sept 2021, In: Educational Measurement : Issues and Practice. 40, 3, p. 110-124 15 p.
Scherder, R., Prins, A., Van Dorp, M., van Klaveren, C., Cornelisz, I., Killestein, J. & Weinstein, H., Pain, cognition and disability in advanced multiple sclerosis Sept 2021, In: Scandinavian Journal of Pain. 21, 4, p. 754-765 12 p.
Bakkum, L., Verhage, M., Schuengel, C., Duschinsky, R., Cornelisz, I., van Klaveren, C., van IJzendoorn, M. H., Raby, K. L., Roisman, G. I., Bakermans, M., Oosterman, M., Madigan, S., Fearon, P. & Behrens, K. Y., Exploring the meaning of unresolved loss and trauma in more than 1,000 Adult Attachment Interviews 9 Apr 2021, (Accepted/In press).
Heim, E., Ramia, J. A., Hana, R. A., Burchert, S., Carswell, K., Cornelisz, I., Cuijpers, P., El Chammay, R., Noun, P., van Klaveren, C., van Ommeren, M., Zoghbi, E. & van’t Hof, E., Step-by-step: Feasibility randomised controlled trial of a mobile-based intervention for depression among populations affected by adversity in Lebanon Apr 2021, In: Internet Interventions. 24, p. 1-9 9 p., 100380.
Fehribach, J. R., Toffolo, M. B. J., Cornelisz, I., Van Klaveren, C., van Straten, A., Van Gelder, J. L. & Donker, T., Virtual reality self-help treatment for aviophobia: Protocol for a randomized controlled trial Apr 2021, In: JMIR Research Protocols. 10, 4, p. 1-14 14 p., e22008.
van ‘t Hof, E., Heim, E., Ramia, J. A., Burchert, S., Cornelisz, I., Cuijpers, P., El Chammay, R., Shehadeh, M. H., Noun, P., Smit, F., van Klaveren, C., van Ommeren, M., Zoghbi, E. & Carswell, K., Jan Evaluating the effectiveness of an e-mental health intervention for people living in Lebanon: Protocol for two randomized controlled trials 2021, In: JMIR Research Protocols. 10, 1, p. 1-13 13 p., e21585.
Bol, T., Cornelisz, I., Denessen, E., Ehren, M., Elffers, L., van der Klaauw, B., Leseman, P. P. M., Jansen, M. W. J., Molenaar, I., Schils, T., van de Werfhorst, H. G. & De Wolf, I., Opinie: Geef nu de ontwikkeling van kinderen voorrang en laat de scholen open 25 Nov 2021, In: De Volkskrant.
Meeter, M., Primary school mathematics during the COVID-19 pandemic: No evidence of learning gaps in adaptive practicing results , Dec 2021, In: Trends in Neuroscience and Education. 25, p. 1-8 8 p., 100163.
Cox, W. R., Dobbelaar, S., Meeter, M., Kindt, M. & van Ast, V. A., Episodic memory enhancement versus impairment is determined by contextual similarity across events 30 Nov 2021, In: Proceedings of the National Academy of Sciences of the United States of America. 118, 48, p. 1-9 9 p., e2101509118.
Schomaker, J., Grouls, M. M. E., van der Linden, C. G. M., Rau, E. M., Hendriks, M., Colon, A. & Meeter, M., Novelty processing depends on medial temporal lobe structures 1 Sept 2021, In: Neurobiology of Learning and Memory. 183, 107464.
van der Velde, M., Sense, F., Spijkers, R., Meeter, M. & van Rijn, H. Lockdown Learning: Changes in Online Foreign-Language Study Activity and Performance of Dutch Secondary School Students During the COVID-19 Pandemic, 3 Aug 2021, In: Frontiers in Education. 6, 712987.
van Brederode, M. & Meeter, M. Hoe Jip en Janneke examen doen: Over de verschillen tussen meisjes en jongens bij het schoolexamen en het centraal eindexamen Translated title of the contribution: How boys and girls do exams: On the differences between girls and boys on school exams and national exams , 18 May 2021
Dijkstra, F. S., Renden, P. G., Meeter, M., Schoonmade, L. J., Krage, R., Van Schuppen, H. & De La Croix, A., Learning about stress from building, drilling and flying: a scoping review on team performance and stress in non-medical fields 25 Mar 2021, In: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine. 29, 1, 52.
Turkeli, R., Kortekaas-Rijlaarsdam, A. F., Ehren, M., Meeter, M. & de Bruijn, A., Inhaal-en ondersteuningsprogramma’s om leerachterstanden te remediëren: Overzicht en analyse van aanvragen PO, SO en VO uit de tweede tranche van de subsidieregeling i.v.m. COVID-19: deelstudie 1/A Mar 2021, LEARN!. 20 p.
Los, S. A., Nieuwenstein, J., Bouharab, A., Stephens, D. J., Meeter, M. & Kruijne, W.,The warning stimulus as retrieval cue: The role of associative memory in temporal preparation Mar 2021, In: Cognitive Psychology. 125, p. 1-23 23 p., 101378.
Meeter, M., Weg met persoonsvorming Translated title of the contribution: No to subjectification Mar 2021, In: Didactief. 51, 3, p. 24-25 2 p.
Grijpma, J. W., de la Croix, A., Kleinveld, J. H., Meeter, M. & Kusurkar, R. A., Appreciating small-group active learning: What do medical students want, and why? A Q-methodology study 2021, In: Medical Teacher. 43, 4, p. 411-420
de Bruijn, A., Sincer, I., Turkeli, R., Meeter, M. & Ehren, M., Inhaal-en ondersteuningsprogramma’s om leerachterstanden te remediëren: theory of change aanvragen PO en VO uit de tweede tranche van de subsidieregeling i.v.m. COVID-19: deelstudie 1 2021, LEARN!. 33 p.
de Bruijn, A., Kortekaas-Rijlaarsdam, A. F. & Meeter, M., Sociaal-emotioneel functioneren en schoolwelbevinden in het PO [factsheet] Translated title of the contribution: Social-emotional functioning and school wellbeing in primary education [factsheet] 2021, LEARN!. 2 p.
de Bruijn, A., Kortekaas-Rijlaarsdam, A. F. & Meeter, M., Sociaal-emotioneel functioneren en schoolwelbevinden in het VO [factsheet] Translated title of the contribution: Socio-emotional functioning and school wellbeing in secondary education [factsheet] 2021, LEARN!. 2 p.
ten Hove, D., Jorgensen, T. D. & van der Ark, L. A., Interrater reliability for multilevel data: A generalizability theory approach. 2021, In: Psychological Methods. 27, 4, p. 650-666
van Rest, M., Heppe, E., Ras, R., Cullen, M.-A., de la Croix, A., Schuengel, C. & Hastings, R., Jul Using routine care data: Opinions and beliefs by people with intellectual or visual disabilities 2021, In: Journal of Applied Research in Intellectual Disabilities. 34, 5, p. 1366-1366 1 p.
Breuer, T., van Wetten, S., Stolp, T., de Wolf, I., Naaijkens, E. & Bootsma, M., Extra lessen: Extra lessen om leerachterstanden aan te pakken 2021, Education Lab. 29 p. (ROA External Reports).
Coenen, J., Golsteyn, B. H. H., Stolp, T. & Tempelaar, D., Personality traits and academic performance: Correcting self-assessed traits with vignettes 25 Mar 2021, In: PLOS ONE. 16, 3, 13 p., 0248629.
Stolp, T. & Naaijkens, E., Praktijkkaart Coaching: Professionalisering van de leraar 2021, Education Lab. 10 p. (ROA External Reports).
van Wetten, S., Breuer, T., Stolp, T., Naaijkens, E. & Bootsma, M.,Praktijkkaart Kiezen voor een aanpak 2021, Education Lab. 13 p. (ROA External Reports).
Korthals, R., Stolp, T., van Wetten, S., Breuer, T., Naaijkens, E. & Bootsma, M., Praktijkkaart Monitoren en Evalueren 2021, Education Lab. 15 p. (ROA External Reports).
Korthals, R., Stolp, T., Breuer, T. & Naaijkens, E., Praktijkkaart Probleemverkenning en doelstelling 2021, Education Lab. 11 p. (ROA External Reports).
de Wolf, I., Stolp, T., Dussel, D. & Naaijkens, E., Praktijkkaart Professionalisering 2021, Education Lab. 13 p. (ROA External Reports).
Dohmen, T., Rotterdam, A. & Stolp, T., Reference points and the tradeoff between risk and incentives 2021, Bonn: IZA, 46 p. (IZA Discussion Paper Series; No. 14835).
Dohmen, T., Non, A. & Stolp, T., Reference points and the tradeoff between risk and incentives 1 Dec 2021, In: Journal of Economic Behavior & Organization. 192, p. 813-831 19 p.
Vooren, M., Haelermans, C., Groot, W. & Maassen van den Brink, H., Selectie voor omscholing naar ICT kan effectiever 6 Sept 2021, In: Economisch Statistische Berichten. 106, p. 528-529 2 p., 4803.
Jacobs, M., Huijts, T., van Broekhoven, K., Straetmans, S., Meng, C., & van der Velden, R. (2021). Effects of participation in Excellence Programmes on cognitive and non-cognitive skills among higher education students in the Netherlands. European Journal of Higher Education, 11(1), 44-63.
Dicks, A., M. Levels, R. van der Velden, M. Mills (2021), How young mothers rely on kin networks and formal childcare to avoid becoming NEET in the Netherlands, Frontiers in Sociology, section Sociological Theory, Vol 6. Published online: 27 January 2022
Berkelmans, G., van der Mei, R., Bhulai, S. & Gilissen, R., Identifying socio-demographic risk factors for suicide using data on an individual level Dec 2021, In: BMC Public Health. 21, 1, p. 1-8 8 p., 1702.
Perugachi-Diaz, Y., Tomczak, J. M. & Bhulai, S., Invertible DenseNets with Concatenated LipSwish Dec 2021, Advances in Neural Information Processing Systems 34 (NeurIPS 2021). Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 17246-17257 12 p. (Advances in Neural Information Processing Systems).
van Ruitenbeek, R. E., Slik, J. S. & Bhulai, S., On the relation between COVID-19, mobility, and the stock market Dec 2021, In: PLoS ONE. 16, 12, p. 1-16 16 p., e0261381.
Klein, J., Bhulai, S., Hoogendoorn, M. & Van Der Mei, R., Plusmine: Dynamic Active Learning with Semi-Supervised Learning for Automatic Classification Dec 2021, WI-IAT ’21: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.Association for Computing Machinery, p. 146-153 8 p. (ACM International Conference Proceeding Series).
Zweers, B. G., Bhulai, S. & van der Mei, R. D., Planning hinterland container transportation in congested deep-sea terminals Sept 2021, In: Flexible Services and Manufacturing Journal. 33, 3, p. 583-622
on behalf of Dutch ICU Data Sharing Against COVID-19 Collaborators, Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse 28 Jun 2021, In: Intensive Care Medicine Experimental. 9, p. 1-15 15 p., 32.
Perugachi-Diaz, Y., Tomczak, J. M. & Bhulai, S., Deep learning for white cabbage seedling prediction May 2021, In: Computers and Electronics in Agriculture. 184, p. 1-9 9 p., 106059.
Fleuren, L. M., de Bruin, D. P., Tonutti, M., Lalisang, R. C. A., Elbers, P. W. G., Gommers, D., Cremer, O. L., Bosman, R. J., Vonk, S. J. J., Fornasa, M., Machado, T., Dam, T., de Keizer, N. F., Raeissi, M., van der Meer, N. J. M., Rigter, S., Wils, E. J., Frenzel, T., Dongelmans, D. A. & de Jong, R. & 102 others, Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse, Apr 2021, In: Intensive Care Medicine. 47, 4, p. 478-481 4 p.
2020
Eegdeman, I., van Klaveren, C. & Meeter, M., Content expectations and dropout in vocational education12 Oct 2020, In: Empirical Research in Vocational Education and Training. 12, 1, p. 1-23 23 p., 9.
Cornelisz, I., Cuijpers, P., Donker, T. & van Klaveren, C., Addressing missing data in randomized clinical trials: A causal inference perspective 6 Jul 2020, In: PLoS ONE. 15, 7, p. 1-15 15 p., e0234349.
Donker, T., van Klaveren, C., Cornelisz, I., Kok, R. N. & van Gelder, J. L., Analysis of usage data from a self-guided app-based virtual reality cognitive behavior therapy for acrophobia: A randomized controlled trial Jun 2020, In: Journal of Clinical Medicine . 9, 6, p. 1-13 13 p., 1614.
Van Halem, N., Van Klaveren, C., Drachsler, H., Schmitz, M. & Cornelisz, I., Tracking patterns in self-regulated learning using students’ self-reports and online trace data 30 Mar 2020, In: Frontline Learning Research. 8, 3, p. 140-163 24 p.
Eegdeman, I., van Klaveren, C. & Meeter, M., Differentiate on the Basis of Assessed Style?Assessing Guidance Styles in Upper Secondary Vocational Education: Can Teachers Feb 2020, In: Frontiers in Education. 4, February, p. 1-11 11 p., 155.
Cornelisz, I., van der Velden, R., de Wolf , I. & van Klaveren, C., The consequences of academic dismissal for academic success 2020, In: Studies in Higher Education. 45, 11, p. 2175-2189 15 p.
van Halem, N., van Klaveren, C. & Cornelisz, I., The effects of implementation barriers in virtually proctored examination: A randomised field experiment in Dutch higher education 2020, In: Higher Education Quarterly. 75, 2, p. 333-347
Daoultzis, K. C., Bogemann, S. A., Onuki, Y., Meeter, M. & Van Der Werf, Y. Out-of-body experience favors emotional memory consolidation , 26 Dec 2020, In: Psychology. 25, 2, p. 13-33 21 p.
van Kesteren, M. T. R., Rignanese, P., Gianferrara, P. G., Krabbendam, L. & Meeter, M., Congruency and reactivation aid memory integration through reinstatement of prior knowledge 1 Dec 2020, In: Scientific Reports. 10, 1, p. 1-13 13 p., 4776.
Meeter, M., Bele, T., Den Hartogh, C. F., Bakker, T., de Vries, R. & Plak, S., College students’ motivation and study results after COVID-19 stay-at-home orders 11 Oct 2020, p. 1, 26 p.
van Brederode, M., Zoon, S. A. & Meeter, M., Examining the effect of lab instructions on students’ critical thinking during a chemical inquiry practical 1 Oct 2020, In: Chemistry education research and Practice CERP. 21, 4, p. 1173-1182 10 p.
Landa, I., Westbroek, H., Janssen, F., van Muijlwijk, J. & Meeter, M., Scientific Perspectivism in Secondary-School Chemistry Education: Integrating Concepts and Skills in Chemical Thinking 1 Oct 2020, In: Science and Education. 29, 5, p. 1361-1388 28 p.
Meeter, M., Leerling Yeshe: “Op school wil ik leren doorzetten”: (expert comment) Translated title of the contribution: Student Yesthe: “At school, I want to learn how to persevere” 3 Sept 2020
Meeter, M., Marzouki, Y., Avramiea, A. E., Snell, J. & Grainger, J., The Role of Attention in Word Recognition: Results from OB1-Reader 1 Jul 2020, In: Cognitive science. 44, 7, p. 1-19 19 p., e12846.
van Brederode, M. & Meeter, M., Hoe statistiek het schoolexamen verdacht maakte: en waarom schoolexamens dat niet verdienen Translated title of the contribution: How statistics made school exams suspicious: and why schools did not deserve that, 6 May 2020
van Kesteren, M. T. R. & Meeter, M., How to optimize knowledge construction in the brain 1 May 2020, In: npj Science of learning. 5, p. 1-7 7 p., 5.
Eegdeman, I., van Klaveren, C. & Meeter, M., Assessing Guidance Styles in Upper Secondary Vocational Education: Can Teachers Differentiate on the Basis of Assessed Style? Feb 2020, In: Frontiers in Education. 4, February, p. 1-11 11 p., 155.
Hove, D., Jorgensen, T. D. & van der Ark, L. A., Comparing hyperprior distributions to estimate variance components for interrater reliability coefficients 2020, Quantitative Psychology – 84th Annual Meeting of the Psychometric Society, IMPS 2019. Wiberg, M., Molenaar, D., González, J., Böckenholt, U. & Kim, J.-S. (eds.). Springer, p. 79-93 (Springer Proceedings in Mathematics and Statistics).
Heppe, E. C. M., Kef, S., de Moor, M. H. M. & Schuengel, C., Loneliness in young adults with a visual impairment: Links with perceived social support in a twenty-year longitudinal study Jun 2020, In: Research in Developmental Disabilities. 101, p. 1-10 10 p., 103634.
Heppe, E. C. M., Willemen, A. M., Kef, S. & Schuengel, C., Evaluation of a community-based mentoring program on psychosocial functioning of adolescents with a visual impairment: A randomized controlled trial 2020, In: British Journal of Visual Impairment. 39, 3, p. 251-265
Heppe, E. C. M., Willemen, A. M., Kef, S. & Schuengel, C., Improving social participation of adolescents with a visual impairment with community-based mentoring: results from a randomized controlled trial 2020, In: Disability and Rehabilitation. 42, 22, p. 3215-3226 12 p.
Vooren, M., Somers, M., Groot, W. & Maassen van den Brink, H., Vaardigheden in beeld Skillsmonitor 2020: Metropoolregio Amsterdam Nov 2020, House of Skills, Top Institute for Evidence Based Education Research (TIER). 78 p.
Bijlsma, I., J. van de Brakel, R. van der Velden, J. Allen (2020), Estimating literacy levels at a detailed regional level: an application using Dutch data. Journal of Official Statistics, 36, (2): 251–274
Haelermans, C., T. Huijgen, M. Jacobs, M. Levels, R. van der Velden, L. van Vugt and S. van Wetten (2020), Using Data to Advance Educational Research, Policy and Practice: Design, Content and Research Potential of the Netherlands Cohort Study on Education, European Sociological Review 36 (4): 643–662
Broekhoven, K. van, B. Belfi, I. Hocking, R. van der Velden (2020), Fostering University Students’ Idea Generation and Idea Evaluation Skills With a Cognitive-Based Creativity Training. Creativity. Theories–Research-Applications, 7(2), 284-308.
Bakker, T. C., Krabbendam, L., Bhulai, S. & Begeer, S., First-Year Progression and Retention of Autistic Students in Higher Education: A Propensity Score-Weighted Population Study 11 Dec 2020, In: Autism in Adulthood. 2, 4, p. 307-316 10 p.
Mahfoud, M., Bernasco, W., Bhulai, S. & van der Mei, R., Forecasting Spatio-Temporal Variation in Residential Burglary with the Integrated Laplace Approximation Framework: Effects of Crime Generators, Street Networks, and Prior Crimes Dec 2020, In: Journal of Quantitative Criminology. 37, 4, p. 835-862 28 p.
Zweers, B. G., Bhulai, S. & van der Mei, R. D., Pre-processing a container yard under limited available time Nov 2020, In: Computers and Operations Research. 123, p. 1-19 19 p., 105045.
Slik, J. & Bhulai, S., Predicting Travel Behavior by Analyzing Mobility Transactions Oct 2020, In: Journal of Traffic and Transportation Management. 2, 2, p. 25-33 8 p.
Huizing, D., Schäfer, G., van der Mei, R. D. & Bhulai, S., The median routing problem for simultaneous planning of emergency response and non-emergency jobs 1 Sept 2020, In: European Journal of Operational Research. 285, 2, p. 712-727 16 p.
Zweers, B. G., Bhulai, S. & van der Mei, R. D., Optimizing pre-processing and relocation moves in the Stochastic Container Relocation Problem 16 Jun 2020, In: European Journal of Operational Research. 283, 3, p. 954-971 18 p.
Hristov, A., Bosman, J. W., Bhulai, S. & Van Der Mei, R. D., Deriving Explicit Control Policies for Markov Decision Processes Using Symbolic Regression May 2020, VALUETOOLS ’20: Proceedings of the 13th EAI International Conference on Performance Evaluation Methodologies and Tools. Association for Computing Machinery, p. 41-47 7 p. (ACM International Conference Proceeding Series).
Berkelmans, G., van der Mei, R., Bhulai, S., Merelle, S. & Gilissen, R., Demographic Risk Factors for Suicide among Youths in The Netherlands 13 Feb 2020, In: International Journal of Environmental Research and Public Health. 17, 4, p. 1-11 11 p., 1182.
Storm, P. J., Bhulai, S., Kager, W. & Mandjes, M., Roundabout model with on-ramp queues: Exact results and scaling approximations Jan 2020, In: Physical Review E. 101, 1, p. 1-13 13 p., 012311.
van Peursen, W., Bhulai, S., van der Schans, Y. & Ruhe, D., Clustering Biblical Texts Using Re-current Neural Networks 2020, Proceedings of the Network Institute Academy Assistants program 2018/2019 . de Boer, V. (ed.). VU, 7 p.
Slik, J. & Bhulai, S., Transaction-Driven Mobility Analysis for Travel Mode Choices 2020, In: Procedia Computer Science. 170, p. 169-176 8 p.
2019
Cornelisz, I., & Van Klaveren, C. (2019) “Educational Equity and Teacher Discretion Effects in High Stake Exams”. Economics of Education Review. Published online July 07, 2019.
Cornelisz, I., Van der Velden, R., de Wolf, I. & Van Klaveren, C. (2019) “The Consequences of Academic Dismissal for Academic Success”. Studies in Higher Education. Published online March 30, 2019.
Donker, T., Cornelisz, I., Van Klaveren, C., Van Straten, A., Carlbring, P., Cuijpers, P., & Van Gelder, J.L. (2019) “Effectiveness of Self-guided App-Based Virtual Reality Cognitive Behavior Therapy for Acrophobia: A Randomized Clinical Trial.”. JAMA Psychiatry. Published online March 20, 2019.
Sapountzi, A., Bhulai, S., Cornelisz, I. & Van Klaveren, C., Dynamic Knowledge Tracing Models for Large-Scale Adaptive Learning Environments Jun 2019, In: International Journal on Advances in Intelligent Systems. 12, 1&2, p. 93-110 18 p.
van Halem, N., van Klaveren, C. & Cornelisz, I., The Effects of Implementation Barriers In Remote Online Proctored Examination: A Randomised Field Experiment in Dutch Higher Education 2019, (ACLA Working Paper Series; vol. 20192).
van Klaveren, C., Kooiman, K., Cornelisz, I. & Meeter, M., The Higher Education Enrollment Decision: Feedback on Expected Study Success and Updating Behavior 2019, In: Journal of Research on Educational Effectiveness. 12, 1, p. 67-89 23 p.
van Kesteren, M. T. R., de Vries, L. & Meeter, M., Seeing the past: afterglow effects on familiarity judgments are category-specific 1 Oct 2019, In: Learning and Memory. 26, 7, p. 229-234 6 p.
Günseli, E., Fahrenfort, J. J., van Moorselaar, D., Daoultzis, K. C., Meeter, M. & Olivers, C. N. L., EEG dynamics reveal a dissociation between storage and selective attention within working memory 18 Sept 2019, In: Scientific Reports. 9, p. 1-13 13 p., 13499.
Snell, J., Meade, G., Meeter, M., An electrophysiological investigation of orthographic spatial integration in reading Holcomb, P. & Grainger, J., Jun 2019, In: Neuropsychologia. 129, p. 276-283 8 p.
Van Der Ark, L. A. & Ten Hove, D., Do we agree? Interrater reliability in education Zijn we het eens? Interbeoordelaarsbetrouwbaarheid in de pedagogiek en het onderwijs 2019, In: Pedagogische Studien. 95, 5-6, p. 361-371
Ruijs, N.M., & Oosterbeek, H. (2019). School choice in Amsterdam: Which schools are chosen when school choice is free? Education Finance and Policy, 14, 1-30. https://doi.org/10.1162/EDFP_a_00237.
Heppe, E. & van Rest, M., Aug 2019, The future is “Big Data”: Would you like to share? In: Journal of Intellectual Disability Research. 63, 7, p. 639 1 p.
Heppe, E., Willemen, A., Kef, S. & Schuengel, C., Basic psychological need satisfaction of adolescents with a visual impairment: Effectiveness of a community-based mentoring program 23 May 2019.
Heppe, E. C. M., Kupersmidt, J. B., Kef, S. & Schuengel, C., Does having a similar disability matter for match outcomes?: A randomized study of matching mentors and mentees by visual impairment Mar 2019, In: Journal of Community Psychology. 47, 2, p. 210-226 17 p.
Veerman, L., Heppe, E., Gold, D. & Kef, S. Intra- and Interpersonal Factors in Adolescence Predicting Loneliness among Young Adults with Visual Impairments 1 Jan 2019, In: Journal of Visual Impairment and Blindness. 113, 1, p. 7-18 12 p.
Vooren, M., Haelermans, C., Groot, W. & van den Brink, H. M., Employers’ preferences for IT-retrainees: evidence from a discrete choice experiment 7 Oct 2019, In: International Journal of Manpower. 40, 7, p. 1273-1287
Heijden, I., Vooren, M., Groot, W. & Maassen van den Brink, H., Onderwijs-, Arbeidsmarkt-en Skillsmonitor 2018: Metropoolregio Amsterdam Oct 2019, Amsterdam: House of Skills, Top Institute for Evidence Based Education Research (TIER). 62 p.
Vooren, M., Haelermans, C., Groot, W. & Maassen van den Brink, H. THE EFFECTIVENESS OF ACTIVE LABOR MARKET POLICIES: A META-ANALYSIS, Feb 2019, In: Journal of Economic Surveys. 33, 1, p. 125-149
Gurova, G. & Camphuijsen, M. K., School actors’ enactment of a performative accountability scheme in Russia: Tensions, dilemmas and strategies 8 Jul 2019, In: European Educational Research Journal. 19, 3, p. 183-203
Fregin, M-C, M. Levels, R. van der Velden (2020), Labour market institutions and the challenge of allocating the right people to the right jobs: Evidence on the relation between labour market institutions and optimal skill matching from 28 industrial countries, Compare: A Journal of Comparative and International Education, 50, 2: 257-275 | Published online: 06 Dec 2019
Bakker, T., Krabbendam, L., Bhulai, S. & Begeer, S., Background and enrollment characteristics of students with autism in higher education 1 Nov 2019, In: Research in autism spectrum disorders. 67, p. 1-12 12 p., 101424.
Zweers, B. G., Bhulai, S. & van der Mei, R. D., Optimizing barge utilization in hinterland container transportation Apr 2019, In: Naval Research Logistics. 66, 3, p. 253-271 19 p.
van Peursen, W. T., Bhulai, S., Kingham, C. & van de Bijl, E. A Probabilistic Approach to Linguistic Variation and Change in Biblical Hebrew , 2019.
Mensah, C., Klein, J., Bhulai, S., Hoogendoorn, M. & van der Mei, R., Detecting fraudulent bookings of online travel agencies with unsupervised machine learning 2019, Advances and Trends in Artificial Intelligence. From Theory to Practice: 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Graz, Austria, July 9–11, 2019, Proceedings. Wotawa, F., Pill, I., Koitz-Hristov, R., Friedrich, G. & Ali, M. (eds.). Springer Verlag, p. 334-346 13 p.
Bhulai, S., Blok, H. & Spieksma, F., K competing queues with customer abandonment: optimality of a generalised c mu-rule by the Smoothed Rate Truncation method 2019, In: Annals of Operations Research. 317, 2, p. 387-416 30 p.
Bhulai, S., Ali, H. & Sztandera, L., Proceedings of the 8th International Conference on Data Analytics 2019 2019, Porto (Portugal): IARIA.
2018
Van Klaveren, C., Kooiman , K., Cornelisz, I., & Meeter, M. (2018) “The Higher Education Enrollment Decision: Feedback on Expected Study Success and Updating Behavior“. Journal of Research on Educational Effectiveness (JREE). 2018; 1-23
Cornelisz, I., & Van Klaveren, C. (2018) “Student Engagement with Computerized Practicing: Ability, Task Value and Difficulty Perceptions”. Journal of Computer Assisted Learning (JCAL). 2018; 1-15
Sapountzi, A., Bhulai, S., Cornelisz, I. & van Klaveren, C. P. B. J., Dynamic models for knowledge tracing & prediction of future performance 18 Nov 2018, 7th International Conference on Data Analytics. Bhulai, S., Kardaras, D. & Semanjski, I. (eds.). Athens, Greece: IARIA, p. 121-129 9 p.
Eegdeman, I., Meeter, M. & van Klaveren, C. P. B. J., Cognitive skills, personality traits and dropout in Dutch vocational education 24 Oct 2018, In: Empirical Research in Vocational Education and Training. 10, p. 1-18 18 p., 11.
Coenen, J., Cornelisz, I., Groot, W., Maassen van den Brink, H. & Van Klaveren, C., Teacher Characteristics and Their Effects on Student Test Scores: A Systematic Review Jul 2018, In: Journal of Economic Surveys. 32, 3, p. 848-877 30 p.
Antonidas, G. & van Klaveren, C., Consumers and households: Materialism, nonmaterialism, and subjective well-being 2018, The Cambridge Handbook of Psychology and Economic Behaviour. Lewis, A. (ed.). 2nd ed. Cambridge University Press, p. 340-364 25 p. (Cambridge Handbooks in Psychology).
Coenen, J., Cornelisz, I., Groot, W., Maassen van den Brink, H. & van Klaveren, C. P. B. J., Het effect van docentkenmerken op leerprestaties van leerlingen: overzicht van een recente literatuurstudie 2018, Onderwijs aan het werk – 2018: Analyses, feiten en visies over werken in het onderwijs. Cörvers, F. (ed.). Den Haag: CAOP, p. 467-479 13 p. (Publicatiereeks Overheid & Arbeid; vol. 2018, no. 47).
Schmitz, M., Scheffel, M., van Limbeek, E., van Halem, N., Cornelisz, I., van Klaveren, C., Bemelmans, R. & Drachsler, H., Investigating the Relationships Between Online Activity, Learning Strategies and Grades to Create Learning Analytics-Supported Learning Designs 2018, Lifelong Technology-Enhanced Learning: 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Proceedings. Elferink, R., Drachsler, H., Pammer-Schindler, V., Perez-Sanagustin, M. & Scheffel, M. (eds.). Springer/Verlag, p. 311-325 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11082 LNCS).
Draaijer, S. & van Klaveren, C. P. B. J., The Impact of Fraudulent Behavior on the Usefulness of Learning Analytics Applications: The Case of Question and Answer Sharing with Medium-stakes Online Quizzing in Higher Education 2018, Data Analytics Applications in Education . De Witte, K. & Vanthienen, J. (eds.). CRC Press, 20 p. (An Auerbach book).
van Kempen, P., Hummelen, J. & Meeter, M., Gepersonaliseerd leren in de VO-praktijk, 27 Nov 2018
Snell, J., van Leipsig, S., Grainger, J. & Meeter, M., OB1-reader: A model of word recognition and eye movements in text reading 1 Nov 2018, In: Psychological Review. 125, 6, p. 969-984 16 p.
Schomaker, J. & Meeter, M., Predicting the unknown: Novelty processing depends on expectations 1 Sept 2018, In: Brain Research. 1694, p. 140-148 9 p.
van Kesteren, M. T. R., Krabbendam, L. & Meeter, M., Integrating educational knowledge: reactivation of prior knowledge during educational learning enhances memory integration 25 Jun 2018, In: npj Science of learning. 3, 1, p. 1-8 8 p., 11.
Isik, U., Tahir, O. E., Meeter, M., Heymans, M. W., Jansma, E. P., Croiset, G. & Kusurkar, R. A. Factors Influencing Academic Motivation of Ethnic Minority Students: A Review, 1 Apr 2018, In: Sage Open. 8, 2, p. 1-23 23 p.
White, K., Bronkhorst, A. W. & Meeter, M., Type of activity and order of experimental conditions affect noise annoyance by identifiable and unidentifiable transportation noise Apr 2018, In: Journal of the Acoustical Society of America. 143, 4, p. 2165-2171 7 p.
Schuck, N. W., Petok, J. R., Meeter, M., Schjeide, B. M. M., Schröder, J., Bertram, L., Gluck, M. A. & Li, S. C. Aging and a genetic KIBRA polymorphism interactively affect feedback- and observation-based probabilistic classification learning, 1 Jan 2018, In: Neurobiology of Aging. 61, p. 36-43 8 p.
Snell, J., Bertrand, D., Meeter, M. & Grainger, J., Integrating orthographic information across time and space: Masked priming and flanker effects with orthographic neighbors Jan 2018, In: Experimental Psychology. 65, 1, p. 32-39 8 p.
ten Hove, D., Jorgensen, T. D. & van der Ark, L. A. On the usefulness of interrater reliability coefficients 2018, Quantitative Psychology – The 82nd Annual Meeting of the Psychometric Society, Zurich, Switzerland, 2017. Gonzalez, J., Janssen, R., Wiberg, M., Molenaar, D. & Culpepper, S. (eds.). Springer New York LLC, p. 67-75 (Springer Proceedings in Mathematics and Statistics).
Savi, A.O., Ruijs, N.M., Maris, G.K.J. & van der Maas, H.L.J. (2018). Delaying access to a problem-skipping option increases effortful practice: Application of an A/B test in large-scale online learning. Computers & Education, 119, 84-94. https://doi.org/10.1016/j.compedu.2017.12.008.
Heppe, E. C. M. Social Participation of Adolescents with a Visual Impairment: Social Support, Mentoring, and Psychosocial Functioning 2018, 180 p.
Stolp, T. H., Sorting in the Labor Market: The Role of Risk Preference and Stress 2018, ROA.
Vooren, M. & Baarsma, B. E., Bank competition and the transmission of unconventional monetary policy in the euro area 2 Jan 2018, In: European Competition Journal. 14, 1, p. 174-193
Ferreira Sequeda, M., A. de Grip, R. van der Velden (2018), Does on-the-job informal learning in OECD countries differ by contract duration? Labour Economics, 55, 18-40
Mahfoud, M., Bhulai, S. & van der Mei, R. D., Crime forecasting in small city blocks using a general additive spatio-temporal model 30 Dec 2018, In: International Journal on Advances in Security. 11, 3&4, p. 214-222 9 p.
Ertiningsih, D., Bhulai, S. & Spieksma, F., A novel use of value iteration for deriving bounds for threshold and switching curve optimal policies Dec 2018, In: Naval Research Logistics. 65, 8, p. 638-659 22 p.
Li, P. K. J., Bhulai, S. & van Essen, J. T., Dynamic coordination of the New York City taxi to optimize the revenue of the taxi service Dec 2018, In: International Journal on Advances in Intelligent Systems. 11, 3&4, p. 156-167 12 p.
van Buuren, M., van der Mei, R. & Bhulai, S., Demand-point constrained EMS vehicle allocation problems for regions with both urban and rural areas Sept 2018, In: Operations Research for Health Care. 18, p. 65-83 19 p.
Hristov, A., Bosman, J. W., Van Der Mei, R. D. & Bhulai, S., Throughput and bottleneck analysis of tandem queues with nested sessions Jul 2018, In: Probability in the Engineering and Informational Sciences. 32, 3, p. 396-408 13 p.
van Barneveld, T., Jagtenberg, C., Bhulai, S. & van der Mei, R., Real-time ambulance relocation: Assessing real-time redeployment strategies for ambulance relocation Jun 2018, In: Socio-Economic Planning Sciences. 62, p. 129-142 14 p.
Van Buuren, M., Jagtenberg, C., Van Barneveld, T., Van Der Mei, R. & Bhulai, S., Ambulance dispatch center pilots proactive relocation policies to enhance effectiveness May 2018, In: Interfaces. 48, 3, p. 235-246 12 p.
Hristov, A., Bhulai, S., van der Mei, R. D. & Bosman, J. W., Control of a tandem queue with a startup cost for the second server 2018, In: Stochastic Models. 34, 3, p. 362-374 13 p.
Klein, J., Bhulai, S., Hoogendoorn, M., Van Der Mei, R. & Hinfelaar, R., Detecting Network Intrusion beyond 1999: Applying Machine Learning Techniques to a Partially Labeled Cybersecurity Dataset 2018, 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI): [Proceedings].IEEE, p. 784-787 4 p. 8609692
Mahfoud, M., Bhulai, S., van der Mei, R. D., Erkin, D. & Dugundji, E. R., Forecasting burglary risk in small areas via network analysis of city streets 2018, 7th International Conference on Data Analytics: [Proceedings]. Bhulai, S., Kardaras, D. & Semanjski, I. (eds.). Athens, Greece: IARIA, p. 109-114 6 p.
Li, P. K. J. & Bhulai, S., Optimal taxi fleet management: a linear programming approach to the taxi capacity problem 2018, 7th International Conference on Data Analytics: [Proceedings]. Bhulai, S., Kardaras, D. & Semanjski, I. (eds.). Athens, Greece: IARIA, p. 115-120 6 p.
Bhulai, S., Kardaras, D. & Semanjski, I., Proceedings of the 7th International Conference on Data Analytics 2018 2018, Athens, Greece: IARIA.
2017
Van Halem, N., Van Klaveren, C. & Cornelisz, I. (2017). Oefent een leerling meer door niveaudifferentiatie? Het effect van data-gestuurde differentiatie op leerinspanning en de rol van eerder behaalde cijfers, Pedagogische Studiën, 94(3), 182-194.
Van Klaveren, C., Vonk, S. & Cornelisz, I. (2017). The Effect of Adaptive versus Static Practicing on Student Learning – Evidence from a Randomized Field Experiment, Economics of Education Review, 58, 175-187.
Berg, A., Cornelisz, I., Kismihók, G., van Klaveren, C. P. B. J. & Mol, S., 2017, Learning & Student Analytics Conference (LSAC) 2017: Implementation, Institutional Barriers and New Developments Amsterdam Business School – University of Amsterdam
Cabus, S. & Cornelisz, I., Competition, student sorting and performance gains in local education markets: The Dutch secondary sector Sept 2017, In: European Journal of Education. 52, 3, p. 365–386 22 p.
Cornelisz, I., Theory versus Empirics: A Review of the International School Choice Literature 2017, (Accepted/In press) Handbook of Contemporary Education Economics. Johnes, G. J., Johnes, J. & Agasisti, T. (eds.). Edward Elgar
Mattiesing, R. M., Kruijne, W., Meeter, M. & Los, S. A., Timing a week later: The role of long-term memory in temporal preparation Dec 2017, In: Psychonomic Bulletin and Review. 24, 6, p. 1900-1905 6 p.
Kruijne, W. & Meeter, M., You prime what you code: The fAIM model of priming of pop-out 1 Nov 2017, In: PLoS ONE. 12, 11, e0187556.
White, K., Arntzen, M., Walker, F., Waiyaki, F. M., Meeter, M. & Bronkhorst, A. W., Noise annoyance caused by continuous descent approaches compared to regular descent procedures Oct 2017, In: Applied Acoustics. 125, p. 194-198 5 p.
White, K., Bronkhorst, A. W. & Meeter, M., Annoyance by transportation noise: The effects of source identity and tonal components May 2017, In: Journal of the Acoustical Society of America. 141, 5, p. 3137-3144 8 p.
van Driel, J., Gunseli, E., Meeter, M. & Olivers, C. N. L., Local and interregional alpha EEG dynamics dissociate between memory for search and memory for recognition 1 Apr 2017, In: NeuroImage. 149, p. 114-128 15 p.
Meeter, M., Moet leren leuk zijn? Translated title of the contribution: Does learning have to be fun? 17 Mar 2017, Velon Congres Amsterdam: Opleiden voor diversiteit en verbinding.
Snell, J., Meeter, M. & Grainger, J., Evidence for simultaneous syntactic processing of multiple words during reading 1 Mar 2017, In: PLoS ONE. 12, 3, e0173720.
Los, S. A., Kruijne, W. & Meeter, M., Hazard versus history: Temporal preparation is driven by past experience 1 Jan 2017, In: Journal of Experimental Psychology: Human Perception and Performance. 43, 1, p. 78-88 11 p.
der Stigchel, S. V. & Meeter, M., Negative versus positive priming: When are distractors inhibited? 2017, In: Journal of Eye Movement Research. 10, 2, 6.
Ruijs, N.M. (2017). The effects of Montessori education: Evidence from admission lotteries. Economics of Education Review, 61, 19-34. https://doi.org/10.1016/j.econedurev.2017.09.001.
Ruijs, N.M. (2017). The impact of special needs students on classmate performance. Economics of Education Review, 58, 15-31. http://dx.doi.org/10.1016/j.econedurev.2017.03.002.
Vooren, M., Haelermans, C., Groot, W. & Maassen van den Brink, H., Een meta-analyse naar het effect van activerend arbeidsmarktbeleid 2017, In: Economisch Statistische Berichten. 102, 4748, p. 200-201 2 p.
Verhaest, D., S. Sellami, R. van der Velden (2017), Differences in horizontal and vertical mismatches across countries and fields of study, International Labour Review, Vol. 156, 1, pp. 1-23.
Humburg, M., A. de Grip, R. van der Velden (2017), Which Skills Protect Graduates Against a Slack Labour Market?, International Labour Review, Vol. 156, 1, pp. 25-43
Van Der Kooij, S., Kempker, P., Van Den Berg, H. & Bhulai, S., Optimal battery charging in smart grids with price forecasts 26 Oct 2017, 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. Institute of Electrical and Electronics Engineers Inc., 8086070. (2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017).
van Barneveld, T. C., van der Mei, R. D. & Bhulai, S., Compliance tables for an EMS system with two types of medical response units Apr 2017, In: Computers and Operations Research. 80, p. 68-81 14 p.
van Buuren, M., Kommer, G. J., van der Mei, R. D. & Bhulai, S., EMS call center models with and without function differentiation: a comparison Mar 2017, In: Operations Research for Health Care. 12, p. 16-28 13 p.
Roubos, A., Bhulai, S. & Koole, G., Flexible staffing for call centers with non-stationary arrival rates 2017, Markov Decision Processes in Practice. van Dijk, N. & Boucherie, R. (eds.). Springer_Verlag, p. 487-503 17 p. (International Series in Operations Research & Management Science (ISOR); vol. 248).
Jeronimus, M., Westerveld, S., van Leeuwen, C., Bhulai, S. & van den Berg, D., Japanese Kanji characters are small-world connected through shared components 2017, DATA ANALYTICS 2017 : The Sixth International Conference on Data Analytics. Bhulai, S. & Kardaras, D. (eds.). IARIA, p. 53-58 6 p.
Jagtenberg, C. J., Bhulai, S. & van der Mei, R. D., Optimal ambulance dispatching 2017, Markov Decision Processes in Practice. van Dijk, N. & Boucherie, R. (eds.). Springer_Verlag, p. 269-291 23 p. (International Series in Operations Research and Management Science; vol. 248).
Li, P., Bhulai, S. & van Essen, J. T., Optimization of the revenue of the New York city taxi service using Markov Decision Processes 2017, DATA ANALYTICS 2017 : The Sixth International Conference on Data Analytics: [Proceedings]. Bhulai, S. & Kardaras, D. (eds.). IARIA, p. 47-52 6 p.
de Ruijt, C. A. M., Bhulai, S., Gorissen, B. L., Rusman, H. & Willemsens, L., Predicting candidate uptake on individual online vacancies and vacancy portfolios 2017, In: International Journal on Advances in Software. 10, 1 & 2, p. 132-142 21 p.
Bhulai, S. & Kardaras, D., Proceedings of the 6th International Conference on Data Analytics 2017 2017, Barcelona, Spain: IARIA.
Mahfoud, M., Bhulai, S. & van der Mei, R. D., Spatio-temporal modeling for residential burglary 2017, DATA ANALYTICS 2017 : The Sixth International Conference on Data Analytics: [Proceedings]. Bhulai, S. & Kardaras, D. (eds.). IARIA, p. 59-64 6 p.
Bhulai, S., Value function approximation in complex queueing systems 2017, Markov Decision Processes in Practice. van Dijk, N. & Boucherie, R. (eds.). Springer_Verlag, p. 33-62 30 p.
2016
.Rud, I., van Klaveren, C., Groot, W. & van Den Brink, H. M., What Drives the Relationship Between Early Criminal Involvement and School Dropout? 12 Oct 2016, (Accepted/In press) In: Journal of Quantitative Criminology. p. 1-28 28 p.
Coenen, J. & Van Klaveren, C., Better Test Scores with a Same-Gender Teacher? Jun 2016, In: European Sociological Review. 32, 3, p. 452-464
Heers, M., Van Klaveren, C., Groot, W. & Maassen van den Brink, H., Community Schools: What We Know and What We Need to Know 2016, In: Review of Educational Research. 86, 4, p. 1016-1051 36 p.
Cornelisz, I. & van Halem, N., Een analyse van leerling-centraal onderwijs in relatie tot onderwijsuitkomsten en beleidsinstrumenten. 2016, Onderwijsraad. 34 p.
Anderson, N. C., Donk, M. & Meeter, M., The influence of a scene preview on eye movement behavior in natural scenes 1 Dec 2016, In: Psychonomic Bulletin and Review. 23, 6, p. 1794-1801 8 p.
Jepma, M., Murphy, P. R., Nassar, M. R., Rangel-Gomez, M., Meeter, M. & Nieuwenhuis, S. Catecholaminergic Regulation of Learning Rate in a Dynamic Environment, 1 Oct 2016, In: PLoS Computational Biology. 12, 10, e1005171.
Kruijne, W. & Meeter, M., Long-term priming of visual search prevails against the passage of time and counteracting instructions 1 Aug 2016, In: Journal of Experimental Psychology: Learning, Memory, and Cognition. 42, 8, p. 1293-1303 11 p.
Gunseli, E., Olivers, C. N. L. & Meeter, M., Task-irrelevant memories rapidly gain attentional control with learning 1 Mar 2016, In: Journal of Experimental Psychology: Human Perception and Performance. 42, 3, p. 354-362 9 p.
Kruijne, W. & Meeter, M., Implicit short- and long-term memory direct our gaze in visual search 11 Jan 2016, In: Attention, Perception & Psychophysics. 78, 3, p. 761-773 13 p.
Schomaker, J., Rangel-Gomez, M. & Meeter, M., Happier, faster: Developmental changes in the effects of mood and novelty on responses 2 Jan 2016, In: The Quarterly Journal of Experimental Psychology. 69, 1, p. 37-47 11 p.
Rangel-Gomez, M. & Meeter, M., Neurotransmitters and Novelty: A Systematic Review 1 Jan 2016, In: Journal of Psychopharmacology . 30, 1, p. 3-12 10 p.
Meeter, M., Trauma and the truth 1 Jan 2016, Memory in the Twenty-First Century: New Critical Perspectives from the Arts, Humanities, and Sciences. Palgrave/ MacMillan, p. 343-346 4 p.
van Driel, J., Gunseli, E., Meeter, M. & Olivers, C. N. L., Alpha-band EEG dynamics dissociate between memory for search and memory for recognition 2016.
Kruijne, W. & Meeter, M., Long-Term Priming Prevails Against the Passage of Time and Countermanding Instructions 2016.
Günseli, E., Fahrenfort, J. J., Daoultzis, K., Meeter, M. & Olivers, C. N. L., The Loss of Information from Visual Working Memory depends on Retro-Cue Reliability 2016, In: Journal of Vision. 15, 12, p. 91-91
Kef, S., Heppe, E. & Schuengel, C., How to promote social participation?: Preliminary results of a RCT-study testing a mentor support intervention 2016, In: Journal of Intellectual Disability Research. 60, 7-8, p. 792-792
Heppe, E. C. M., Kef, S. & Schuengel, C., Self-determination in promoting social participation of adolescents with visual impairments: RCT study of a mentoring intervention 2016.
Vooren, M. & Baarsma, B., Concurrentie en de transmissie van onconventioneel monetair beleid 4 Feb 2016, In: Economisch-Statistische Berichten. 101, 4727, p. 116-119 4 p.
Velden, R. van der, I. Bijlsma (2016), College wage premiums and skills: a cross-country analysis, Oxford Review of Economic Policy, 32 (4): 497-513
ten Thij, M. C. & Bhulai, S.,Modelling Trend Progression Through an Extension of the Polya Urn Process 13 Nov 2016, Advances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings. Wierzbicki, A., Brandes, U., Schweitzer, F. & Pedreschi, D. (eds.). 1 ed. Springer_Verlag, Vol. 9564. p. 57-67
Braam, F., Moes, M., Suilen, E., van den Berg, D. & Bhulai, S., Almost squares in almost squares: solving the final instance 2016, 5th International Conference, IARIA Data Analytics 2016, Venice, Italy, October 9-13, 2016. Bhulai, S. & Semanjski, I. (eds.). IARIA, p. 69-74
Jagtenberg, C. J., Bhulai, S. & van der Mei, R. D.,Dynamic ambulance dispatching: is the closest-idle policy always optimal? 2016, In: Health Care Management Science. p. 1-15
Lasek, J., Szlavik, Z., Gagolewski, M. & Bhulai, S., How to improve a team’s position in the FIFA ranking? – A simulation study 2016, In: Journal of Applied Statistics. 43, 7, p. 1349-1368
de Ruijt, C., Bhulai, S., Rusman, H. & Willemsens, L., Predicting candidate uptake for online vacancies 2016, 5th International Conference, IARIA Data Analytics 2016, Venice, Italy, October 9-13, 2016. Bhulai, S. & Semanjski, I. (eds.). IARIA, p. 63-68
Bhulai, S. & Semanjski, I., Proceedings of the 5th International Conference on Data Analytics 2016 2016, Venice, Italy: IARIA.
van Barneveld, T. C., Bhulai, S. & van der Mei, R. D., The effect of ambulance relocations on the performance of ambulance service providers 2016, In: European Journal of Operational Research. 252, 1, p. 257-269
ten Thij, M. C., Bhulai, S., van den Berg, W. & Zwinkels, H., 2016, 5th International Conference, IARIA Data Analytics 2016, Venice, Italy, October 9-13, 2016. Bhulai, S. & Semanjski, I. (eds.). IARIA, p. 75-79 Twitter analytics for the horticulture industry
Onderwater, M., Bhulai, S. & van der Mei, R. D., Value function discovery in Markov Decision Processes with evolutionary algorithms 2016, In: IEEE Transactions on Systems, Man and Cybernetics: Systems. 46, 9, p. 1190-1201
2015
Van Klaveren, C. & De Witte, K., Football to improve math and reading performance 3 Sept 2015, In: Education Economics. 23, 5, p. 577-595 19 p.
De Witte, K., Van Klaveren, C. & Smets, A. J. H., Can cities be held responsible for e arly school leaving? Evidence from the Netherlands 4 Mar 2015, In: Policy Studies. 36, 2, p. 217-239 23 p.
Van Klaveren, C. & De Wolf, I., Systematic reviews in education research: When do effect studies provide evidence? 1 Jan 2015, Contemporary Economic Perspectives in Education.Leuven University Press, Peeters, p. 11-33 23 p.
Gunseli, E., van Moorselaar, D., Meeter, M. & Olivers, C. N. L., Erratum to: The reliability of retro-cues determines the fate of noncued visual working memory representations (Psychon Bull Rev, (2015), DOI 10.3758/s13423-014-0796-x) 30 Jul 2015, In: Psychonomic Bulletin and Review. 22, 5, p.
Anderson N. C., Ort, E., Kruijne, W., Meeter, M. & Donk, M.,It depends on when you look at it: Salience influences eye movements in natural scene viewing and search early in time Apr 2015, In: Journal of Vision. 15, 5, p. 1-22 22 p., 9.
Kruijne, W., Brascamp, J., Kristjansson, A. & Meeter, M.Can a single short-term mechanism account for priming of pop-out?, 2015, In: Vision Research. 115, A, p. 17-22
Otten, M. & Meeter, M., Hippocampal Structure and Function in Individuals with Bipolar Disorder: A Systematic Review 2015, In: Journal of Affective Disorders. 173, p. 113-125
White, K. & Meeter, M., Mismatch negativity (MMN) in high and low noise sensitive individuals 2015, INTER-NOISE 2015 – 44th International Congress and Exposition on Noise Control Engineering.The Institute of Noise Control Engineering of the USA, Inc.
Rangel-Gomez, M., Janenaite, S. & Meeter, M. Novelty’s effect on memory encoding, 2015, In: Acta Psychologica. 159, p. 14-21
Meeter, M., Short- and long-lasting consequences of novelty, deviance, and surprise on brain and cognition 2015, In: Neuroscience and Biobehavioral Reviews. 55, p. 268-279
Kruijne, W. & Meeter, M., The long and the short of priming in visual search 2015, In: Attention, Perception & Psychophysics. 77, 5, p. 1558-1573
Günseli, E., van Moorselaar, D., Meeter, M. & Olivers, C. N. L., The reliability of retro-cues determines the fate of noncued visual working memory representations 2015, In: Psychonomic Bulletin and Review. 22, 5, p. 1334-1341
Ruijs, N.M. (2015). Empirical Studies in the Economics of Education. PhD Dissertation. Amsterdam: TIER-UvA. Supervisors: prof. dr. H. Maassen van den Brink & prof. dr. H. Oosterbeek.
Heppe, E. C. M., Drempels overwinnen doe je samen! 2015, In: Oog. p. 20-23
Heppe, E. C. M., Kef, S. & Schuengel, C., Self-esteem Changes in the Transition to Adulthood for Adolescents with Visual Disabilities 2015.
Heppe, E. C. M., Kef, S. & Schuengel, C., Testing the effectiveness of a mentoring intervention to improve social participation of adolescents with visual impairments: study protocol for a randomized controlled trial 2015, In: Trials. 16, p. 1-11 506.
Humburg, M., R. van der Velden (2015), Self-assessments or tests? Comparing cross-national differences in patterns and outcomes of graduates’ skills based on international large-scale surveys, Studies in Higher Education, 40, 3, pp. 482-504
van Barneveld, T. C., Bhulai, S. & van der Mei, R. D., A dynamic ambulance management model for rural areas 2015, In: Health Care Management Science. p. 1-22
Jagtenberg, C. J., Bhulai, S. & van der Mei, R. D., An efficient heuristic for real-time ambulance redeployment 2015, In: Operations Research for Health Care. 4, p. 27-35
van Buuren, M., Kommer, G. J., van der Mei, R. D. & Bhulai, S., A simulation model for emergency medical services call centers 2015, 2015 Winter Simulation Conference. Huntington Beach, California: IEEE, p. 844-855
Ma, D., Onderwater, M., Wetzels, F., Hoekstra, G. J., van der Mei, R. D., Bhulai, S. & Zhuang, L., Cost-Efficient Allocation of Additional Resources for the Service Placement Problem in Next-Generation Internet 2015, In: Mathematical Problems in Engineering. p. 517409-517409
Dorsman, J. L., Bhulai, S. & Vlasiou, M., Dynamic server assignment in an extended machine-repair model 2015, In: IIE Transactions. 47, 4, p. 392-413
Onderwater, M., Bhulai, S. & van der Mei, R. D., Learning optimal policies in MDPs w h value function discovery 2015, In: ACM Sigmetrics Performance Evaluation Review. 43, 2, p. 7-9
Onderwater, M., Bhulai, S. & van der Mei, R. D., On the control of queueing systems with aging state information 2015, In: Stochastic Models. 31, 4, p. 588-617
Vink, W., Kuiper, A., Kemper, B. & Bhulai, S., Optimal appointment scheduling in continuous time: the lag order approximation method 2015, In: European Journal of Operational Research. 240, 1, p. 213-219
Bijvank, M., Bhulai, S. & Huh, W. T., Parametric replenishment policies for inventory systems with lost sales and fixed order cost 2015, In: European Journal of Operational Research. 241, 2, p. 381-390
2014
Rud, I., Van Klaveren, C., Groot, W. & Maassen van den Brink, H., The externalities of crime: The effect of criminal involvement of parents on the educational attainment of their children Feb 2014, In: Economics of Education Review. 38, p. 89-103 15 p.
De Witte, K. & Van Klaveren, C., How are teachers teaching? A nonparametric approach Jan 2014, In: Education Economics. 22, 1, p. 3-23 21 p.
Heers, M., Van Klaveren, C., Groot, W. & van den Brink, H. M., The impact of community schools on student dropout in pre-vocational education 2014, In: Economics of Education Review. 41, p. 105-119 15 p.
De Witte, K. & Van Klaveren, C., The influence of closing poor performing primary schools on the educational attainment of students 2014, In: Educational Research and Evaluation. 20, 4, p. 290-307 18 p.
Cornelisz, I., School choice, competition and achievement Dutch compulsory education 15 Jan 2014, Maastricht University. 251 p.
Cabus, S. & Cornelisz, I.,Het rendement van concurrentie tussen scholen. 2014, In: Economisch Statistische Berichten. p. 198-201 99(4682).
Garcia, E. M. M. & Cornelisz, I., Public Private Partnerships in Education 2014, Encyclopedia of Education Economics and Finance.Thousand Oaks, SAGE, p. 582-587
Kruijne, W., van der Stigchel, S. & Meeter, M., A model of curved saccade trajectories: Spike rate adaptation in the brainstem as the cause of deviation away. 2014, In: Brain and Cognition. 2014, 85, p. 259-270
White, K., Arntzen, M., Bronkhorst, A. & Meeter, M., Continuous Descent Approach (CDA) compared to regular descent procedures: Less annoying? 2014, INTERNOISE 2014 – 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control. Australian Acoustical Society
van Ast, V. A., Cornelisse, S., Meeter, M. & Kindt, M., Cortisol mediates the effects of stress on the contextual dependency of memories 2014, In: Psychoneuroendocrinology. 2014, 41c, p. 97-110
Günseli, E., Meeter, M. & Olivers, C. N. L., Effects of search difficulty on the selection, maintenance, and learning of the attentional template 2014, In: Journal of Cognitive Neuroscience. 26, p. 2042-2054
Meeter, M. & Van der Stigchel, S., Erratum to Visual priming through a boost of the target signal: Evidence from saccadic landing positions (Atten Percept Psychophys, 10.3758/s13414-013-0516-z) 2014, In: Attention, Perception & Psychophysics. 76, 2, p. 643 1 p.
Schomaker, J., Roos, R. & Meeter, M., Expecting the unexpected: The effects of deviance on novelty processing 2014, In: Behavioral Neuroscience. 2014, 128, p. 146-160 2.
Schomaker, J., van Bronkhorst, M. L. V. & Meeter, M., Exploring a novel environment promotes recall of words 2014, In: Frontiers in Psychology. 2014, 5, p. 918
Schomaker, J. & Meeter, M., Facilitation of responses by task-irrelevant complex deviant stimuli 2014, In: Acta Psychologica. 148, p. 74-80
Günseli, E., Meeter, M. & Olivers, C. N. L., Is a search template an ordinary working memory? Comparing electrophysiological markers of working memory maintenance for visual search and recognition 2014, In: Neuropsychologia. 2014, 60, p. 29-38
Günseli, E., Olivers, C. N. L. & Meeter, M., Learning a template makes irrelevant working memory representations guide attention 2014.
Schomaker, J. & Meeter, M., Novelty detection is enhanced when attention is otherwise engaged: An event-related potential study 2014, In: Experimental Brain Research. 2014, 232, p. 995-1011 3.
Schomaker, J., Berendse, H. W., Foncke, E. M. J., van der Werf, Y. D., van den Heuvel, O., Theeuwes, J. & Meeter, M., Novelty processing and memory formation in Parkinson’s disease. 2014, In: Neuropsychologia. 62, p. 124-136
Los, S. A., Kruijne, W. & Meeter, M., Outlines of a Multiple Trace Theory of Temporal Preparation. 2014, In: Frontiers in Psychology. 2014, 5, p. 1058
Meeter, M. & Olivers, C. N. L., Target features and target-distractor relation are both primed in visual search2014, In: Attention, Perception & Psychophysics. 2014, 76, p. 682-694 3.
Günseli, E., Olivers, C. N. L. & Meeter, M., The handoff of the attentional template from working memory after repeated search: The effects of task d ifficulty 2014, In: Journal of Vision. 14, 10, p. 712
Kruijne, W. & Meeter, M., The Long and the Short of Intertrial Priming 2014, In: Journal of Vision. 14, 10, p. 708-708
Cox, R., Tijdens, R. R., Meeter, M., Sweegers, C. M. & Talamini, L. M. Time, not sleep, unbinds contexts from item memory, 2014, In: PLoS ONE. 2014, 9, p. e88307
Meeter, M. & Van der Stigchel, S.,Visual priming through a boost of the target signal: Evidence from saccadic landing positions 2014, In: Attention Perception & Psychophysics. p. 1336
Heppe, E. C. M. (Editor) & Kef, S. (Editor),Website Mentor Support 1 Sept 2014
Levels, M., R. van der Velden, V. Di Stasio (2014), From school to fitting work: How education-to-job matching of European school leavers is related to educational system characteristics, Acta Sociologica, 57 (4), pp. 341-361
ten Thij, M. C., Kampstra, P. & Bhulai, S., Circadian Patterns in Twitter 2014, 3rd International Conference, IARIA Data Analytics 2014, Rome, Italy, August 24-28, 2014, Proceedings. Laux, F., Pardalos, P. M. & Crolotte, A. (eds.). IARIA, p. 12-17
ten Thij, M. C., Ouboter, T., Worm, D. T. H., van den Berg, J. L., Bhulai, S. & Litvak, N., Modelling of Trends in Twitter Using Retweet Graph Dynamics 2014, In: Lecture Notes in Computer Science. 2014, 8882, p. 132-147
Bhulai, S., Brooms, A. C. & Spieksma, F. M., On structural properties of the value function for an unbounded jump Markov process with an application to a processor-sharing retrial queue 2014, In: Queueing Systems. 76, 4, p. 425-446
2013
Damen, M. L. & Van Klaveren, C., Did Cultural and Artistic Education in the Netherlands increase Student Participation in High Cultural Events? Dec 2013, In: Economist. 161, 4, p. 447-462 16 p.
Meyer, E. & Van Klaveren, C., The effectiveness of extended day programs: Evidence from a randomized field experiment in the Netherlands Oct 2013, In: Economics of Education Review. 36, p. 1-11 11 p.
Van Klaveren, C., Van Den Brink, H. M. & Van Praag, B., Intra-household work timing: The effect on joint activities and the demand for child care Feb 2013, In: European Sociological Review. 29, 1, p. 1-18 18 p.
van Welie, L., Hartog, J. & Cornelisz, I., Free School Choice and the Educational Achievement Gap Jul 2013, In: Journal of School Choice. 7, 3, p. 260-291 32 p.
Levin, H. M., Cornelisz, I. & Hanisch-Cerda, B.,Does educational privatisation promote social justice? 2013, In: Oxford Review of Education. 39, 4, p. 514-532 19 p.
Cornelisz, I., Relative Private School Effectiveness in the Netherlands: A Reexamination of PISA 2006 and 2009 data 2013, In: Procedia Economics and Finance. 5, p. 192-201 10 p.
Murre, J. M. J., Chessa, A. & Meeter, M., A mathematical model of forgetting and amnesia 2013, In: Frontiers in Psychology. 4, p. 76-76
Schomaker, J. & Meeter, M., detection is enhanced when attention is otherwise engaged: An event-related potential study 2013.
Lee, N. C., Krabbendam, L., White, T. P., Meeter, M., Consortium, I., Schumann, G. & Shergill, S. S., Do you see what I see? Sex differences in the discrimination of facial emotions during adolescence 2013, In: Emotion. 2013, 13, p. 1030-1040 10 p., 6.
Rangel-Gomez, M. & Meeter, M., Electrophysiological analysis of the role of novelty in the von Restorff effect 2013, In: Brain and Behavior. 3, 2, p. 159-170
Siebold, A., van Zoest, W., Meeter, M. & Donk, M., In defense of the salience map: salience rather than visibility determines selection 2013, In: Journal of Experimental Psychology: Human Perception and Performance. 39, 6, p. 1516-1524
Günseli, E., Olivers, C. N. L. & Meeter, M., Learning to attend in easy and difficult visual displays 2013.
Marzouki, Y., Meeter, M. & Grainger, J., Location invariance in masked repetition priming of letters and words 2013, In: Acta Psychologica. 142, p. 23-29
Meeter, M. & van der Stigchel, S., Priming through boosted target signals: evidence from the global effect 2013, In: Perception & Psychophysics. 75, p. 1336-1341
Rangel-Gomez, M., Hickey, C. M., van Amelsvoort, T. A. M. J., Bet, P. M. & Meeter, M., The detection of novelty relies on dopaminergic signaling: evidence from apomorphine’s impact on the novelty N2 2013, In: PLoS ONE. 8, 6, e66469.
Schomaker, J. & Meeter, M., The interaction between novelty and emotion in enhancing visual perception 2013.
Murre, J. M. J., Janssen, S. M. J., Rouw, R. & Meeter, M., The Rise and Fall of Immediate and Delayed Memory for Verbal and Visuospatial Information from Late Childhood to Late Adulthood 2013, In: Acta Psychologica. 142, p. 96-107
van Ast, V. A., Cornelisse, S., Meeter, M., Joels, M. & Kindt, I. Time-dependent effects of cortisol on the contextualization of emotional memories 2013, In: Biological Psychiatry. 74, p. 809-816
Verhaest, D., R. van der Velden (2013), Cross-Country Differences in Graduate Overeducation, European Sociological Review, 29, 642-653.
Bosman, J. W., Hoekstra, G., van der Mei, R. D. & Bhulai, S., A simple index rule for efficient traffic splitting over parallel wireless networks with partial information 2013, In: Performance Evaluation. 70, 10, p. 889-899
Meijer, R., Bhulai, S. & Pieffers, M., Markdown policies for optimizing revenue towards optimal pricing in retail 2013, In: Journal of Business and Retail Management Research. 8, 1, p. 42-52
Meijer, R. & Bhulai, S., Optimal pricing in retail: a Cox regression approach 2013, In: International Journal of Retail and Distribution Management. 41, 4, p. 311-320
Calinescu, I. M., Bhulai, S. & Schouten, J. G., Optimal resource allocation in survey designs 2013, In: European Journal of Operational Research. 226, 1, p. 115-121
Yang, R., Bhulai, S. & van der Mei, R. D., Structural properties of the optimal resource allocation policy for single-queue systems 2013, In: Annals of Operations Research. 202, 1, p. 211-233
Lasek, J., Szlavik, Z. & Bhulai, S., The predictive power of ranking systems in association football 2013, In: International Journal of Applied Pattern Recognition. 1, 1, p. 26-46
2012
De Witte, K. & van Klaveren, C., Comparing students by a matching analysis – on early school leaving in Dutch cities Oct 2012, In: Applied Economics. 44, 28, p. 3679-3690 12 p.
van Klaveren, C. & Ghysels, J., Collective Labor Supply and Child Care Expenditures: Theory and Application Jun 2012, In: Journal of Labor Research. 33, 2, p. 196-224 29 p.
Cornelisz, I., A Reexamination of Private School Effectiveness: the Netherlands 1 Mar 2012, (NCSPE Working Papers; no. WP-200).
White, K., Meeter, M. & Bronkhorst, A., Effects of transportation noise and attitudes on noise annoyance and task performance 1 Dec 2012, 41st International Congress and Exposition on Noise Control Engineering 2012, INTER-NOISE 2012. p. 7329-7337 9 p. (41st International Congress and Exposition on Noise Control Engineering 2012, INTER-NOISE 2012; vol. 9).
Schomaker, J., Roos, R. & Meeter, M., Context effects on novelty processing: the influence of expectations 2012.
Tielemans, N. S., Hendriks, M. P. H., Talamini, L. M., Wester, A. K., Meeter, M. & Kessels, R. P.,Context memory in korsakoff and unilateral hippocamectomy p atients2012, In: Neuropsychologia. 50, p. 1603-1608
Olivers, C. N. L. & Meeter, M., Current versus past ambiguity in intertrial priming 2012, In: Visual Cognition. 20, 6, p. 627-646
Schomaker, J. & Meeter, M. Novelty Enhances Visual Perception 2012, In: PLoS ONE. p. e50599-e50599
Rangel-Gomez, M., Hickey, C. M. & Meeter, M., The detection of novelty relies on dopaminergic signaling: Evidence from apomorphine’s impact on the novelty N2 2012.
Schomaker, J., Berendse, H., Foncke, E., van den Heuvel, O., Werff, Y., Theeuwes, J. & Meeter, M., The effects of dopamine on memory formation in Parkinson’s patients 2012.
van Ast, V. A., Cornelisse, S., Meeter, M., Joels, M. & Kindt, M., Time-dependent effects of cortisol on the contextual dependency of negative and neutral memories 2012, In: European Journal of Psychotraumatology.
Schomaker, J., Roos, R. & Meeter, M., TWO MODES OF NOVELTY PROCESSING: CONTEXT-INDUCED EXPLORATION AND EXPLOITATION2012, In: Psychophysiology.
Schomaker, J., Roos, R. & Meeter, M. Two modes of novelty processing: context-induces exploration and exploitation, 2012.
Günseli, E., Olivers, C. N. L. & Meeter, M., Visual search templates: Working memory or longterm memory representations 2012.
Dronkers, J., R. van der Velden, A. Dunne (2012), Why are Migrant Students Better off in Certain Types of Educational Systems or Schools than in Others? European Educational Research Journal, 11, 1, 11-44.
Roubos, D. & Bhulai, S., Approximate Dynamic Programming techniques for skill-based routing in call centres 2012, In: Probability in the Engineering and Informational Sciences. 26, 4, p. 581-591
Bhulai, S., Hoekstra, G., Bosman, J. W. & van der Mei, R. D., Dynamic traffic splitting to parallel networks with partial information: a Bayesian approach 2012, In: Performance Evaluation. 69, 1, p. 41-52
Bhulai, S., Yuan, T., Heidergott, B. F. & van der Laan, D. A., Optimal balanced control for call centers 2012, In: Annals of Operations Research. 201, 1, p. 39-62
Hoekstra, G., van der Mei, R. D. & Bhulai, S., Optimal job splitting in parallel processor sharing queues 2012, In: Stochastic Models. 28, 1, p. 144-166
Out, P. M., Bhulai, S. & van Meersbergen, M., Optimal patient and personnel scheduling policies for care-at-home service facilities 2012, In: European Journal of Operational Research. 219, 3, p. 557-563
Pande, S., Bastidas, L. A., Bhulai, S. & McKee, M., Parameter-dependent convergence bounds and complexity measure for a class of conceptual hydrological models 2012, In: Journal of Hydroinformatics. 14, 2, p. 443-463
Bhulai, S., Zernik, J. & Dini, P., Proceedings of the 1st International Conference on Data Analytics 2012 2012, Barcelona, Spain: IARIA.
Planque, R., Bhulai, S., Hulshof, J., Kager, W. & Rot, T. O., Proceedings of the Seventy-ninth European Study Group Mathematics with Industry 2012, Amsterdam: VU Uitgeverij. 148 p.
Bhulai, S., Kampstra, P., Kooiman, L. E., Koole, G. M., Trend visualization on Twitter: What’s hot and what’s not? Deurloo, M. & Kok, B., 2012, 1st International Conference, IARIA Data Analytics 2012, Barcelona, Spain, September 23-28, 2012. Bhulai, S., Zernik, J. & Dini, P. (eds.). IARIA, p. 43-48
2011
Van Klaveren, C., Lecturing style teaching and student performance Aug 2011, In: Economics of Education Review. 30, 4, p. 729-739 11 p.
Meeter, M., Wijsheid komt niet met de jaren, kennis wel 1 Dec 2011, In: Gezondgids Special. p. 8-8
Hickey, C. M., Olivers, C. N. L., Meeter, M. & Theeuwes, J., Feature priming and the capture of visual attention: Linking two ambiguity resolution hypotheses 2011, In: Brain Research. 1370, p. 175-184
Meeter, M., Janssen, S. M. J., Birkenhager, T. & van den Broek, W. W., Retrograde amnesia after electroconvulsive therapy: a temporary effect? 2011, In: Journal of Affective Disorders. 132, p. 216-222
van der Horst, F., Meeter, M., Theeuwes, J. & van der Woude, M., What is a fit banknote? The Dutch public responds. 2011, DNB Occasional Studies.
Ladd, H.F., Fiske, E.B. & Ruijs, N.M. (2011). Does Parental Choice Foster Segregated Schools? Insights from the Netherlands. In Berends, M., Cannata, M. & Goldring, E.B. (eds), School Choice and School Improvement (pp. 233-253). Cambridge: Harvard Education Press.
Ruijs, N.M., Peetsma, T.T.D. & Van der Veen, I. (2010). The Presence of Several Students with Special Educational Needs in Inclusive Education and the Functioning of Students with Special Educational Needs. Educational Review, 62, 1-37.
Traag, T., R. van der Velden (2011), Early school-leaving in the Netherlands: The role of family resources, school composition and background characteristics in early school-leaving in lower secondary education, Irish Educational Studies, 30,1, 45-62.
Yang, R., Bhulai, S. & van der Mei, R. D., Optimal resource allocation for multi-queue systems with a shared server pool 2011, In: Queueing Systems. 68, 2, p. 133-163 31 p.
Yang, R., Bhulai, S., van der Mei, R. D. & Seinstra, F. J. Optimal resource allocation for time-reservation systems , 2011, In: Performance Evaluation. 68, 5, p. 414-428
Verhoef, C. G., Bhulai, S. & van der Mei, R. D., Optimal resource allocation in synchronized multi-tier Internet services 2011, In: Performance Evaluation. 68, 11, p. 1072-1084
Van der Does, H., Eegdeman, I., Elzerman, J. R., & Toussaint, H. M. (2011) Hoe intensief trainen zwemmers?Sportgericht, 65(3), 33-37.
2010
Meeter, M., van der Stigchel, S. & Theeuwes, J., A competitive integration model of e xogenous and endogenous eye movements2010, In: Biological Cybernetics. 102, p. 271-291
Meeter, M., Ochtman, D. J. C., Janssen, S. M. J. & Murre, J. M. J., Of sports and politics: Predicting category-specific retention of news events from demographic variables. 2010, In: European Journal of Cognitive Psychology. 22, p. 117-129
Talamini, L. M., Haan, L., Nieman, D. H., Linszen, D. H. & Meeter, M. Reduced context effects on retrieval in first-episode schizophrenia 2010, In: PLoS ONE. 5, p. e10356 7 p.
Weickert, T. W., Goldberg, T. E., Egan, M., Apud, J., Meeter, M., Myers, C. E., Gluck, M. A. & Weinberger, D. A., Relative risk of probabilistic category learning deficits in siblings of patients with schizophrenia 2010, In: Biological Psychiatry. 67, p. 948-955
Mortier, K., van Zoest, W., Meeter, M. & Theeuwes, J., Verbal cues affect detection but not localization responses 2010, In: Perception & Psychophysics. 72, p. 65-75
Roubos, D. & Bhulai, S., Approximate Dynamic Programming techniques for the control of time-varying queueing systems applied to call centers with abandonments and retrials 2010, In: Probability in the Engineering and Informational Sciences. 24, p. 27-45
Bhulai, S., Farenhorst – Yuan, T., Heidergott, B. F. & van der Laan, D. A., Optimal balanced control for call centers 2010, Amsterdam: Tinbergen Instituut (TI), 36 p. (TI Discussion Papers Series; no. 10-013/4).
Bhulai, S., Hoekstra, G. & van der Mei, R. D., Optimal concurrent access strategies in mobile communication networks 2010, 22nd International Teletraffic Congress (ITC). p. 1-7
2009
Carriero, R., Ghysels, J. & Van Klaveren, C., Do parents coordinate their work schedules a comparison of Dutch, Flemish, and Italian dual-earner households Oct 2009, In: European Sociological Review. 25, 5, p. 603-617 15 p.
Meeter, M., Wetenschappers reduceren brein tot blokkendoos 30 Jul 2009, In: NRC Handelsblad.
Meeter, M., Shohamy, D. & Myers, C. E., Acquired equivalence changes stimulus representations 2009, In: Journal of the Experimental Analysis of Behavior. 91, p. 127-141
Talamini, L. M. & Meeter, M., Dominance of objects over context in a mediotemporal lobe model of schizophrenia 2009, In: PLoS ONE. 4, 8, p. 6505
sambeth, A., Meeter, M. & Blokland, A., Hippocampal theta frequency and novelty 2009, In: Hippocampus. 19, 4, p. 407-408
Meeter, M., Veldkamp, R. & Jin, Y., Multiple memory stores and operant conditioning: A rationale for memory’s complexity 2009, In: Brain and Cognition. 69, 1, p. 200-208
Weickert, T. W., Goldberg, T. E., Callicot, J., Chen, Q. H., Apud, J., Das, S., Zoltick, B., Egan, M., Meeter, M., Myers, C. E., Gluck, M. A., Weinberger, D. A. & Mattay, V. S.,Neural correlates of probabilistic category learning in patients with schizophrenia 2009, In: The Journal of Neuroscience. 29, 4, p. 1244-1254
van der Stigchel, S., Belopolsky, A. V., Peters, J. C., Wijnen, J. G., Meeter, M. & Theeuwes, J., The limits of top-down control of visual attention 2009, In: Acta Psychologica. 132, p. 201-212
Bhulai, S., Dynamic routing policies for multi-skill call centers 2009, In: Probability in the Engineering and Informational Sciences. 23, 1, p. 101-119 19 p.
van der Weij, W., Bhulai, S. & van der Mei, R. D. Dynamic thread assignment in web server performance optimization , 2009, In: Performance Evaluation. 66, 6, p. 301-310 10 p.
Jonker, M. A., Bhulai, S., Boomsma, D. I., Ligthart, R. S. L., Posthuma, D. & van der Vaart, A. W., Gamma frailty model for linkage analysis with application to interval-censored migraine data 2009, In: Biostatistics. 10, 1, p. 187-200
Roubos, D. & Bhulai, S., Session-level load balancing for high-dimensional systems 2009, In: IEEE Transactions on Automatic Control. 54, 8, p. 2018-2023
2008
van Klaveren, C. P. B. J., van Praag, B. M. S. & Maassen van den Brink, H. A Public Good Version of the Collective Model: An empirical approach with an application to British household data 2008, In: Review of Economics of the Household. 6, 2, p. 169-191
Olivers, C. N. L. & Meeter, M., A Boost and Bounce theory of temporal attention 2008, In: Psychological Review American Psychological Association. 115, 4, p. 836-863
Marzouki, Y., Meeter, M. & Grainger, J., Effects of prime-target spatial seperation and attentional deployment on masked repetition priming 2008, In: Perception & Psychophysics. 70, 7, p. 1393-1400 8 p.
Olivers, C. N. L. & Meeter, M., Feature priming in visual search does not depend on the dimensional context 2008, In: Visual Cognition. 16, 6, p. 785-803
Janssen, S. M. J., Murre, J. M. J. & Meeter, M. Reminiscence bump in memory for public events 2008, In: European Journal of Cognitive Psychology. 20, 4, p. 738-764 27 p.
van der Mei, R. D., de Wilde, A. R. & Bhulai, S., A method for approximating the variance of the sojourn times in star-shaped queueing networks 2008, In: Stochastic Models. 24, 3, p. 487-501
Pot, S. A., Bhulai, S. & Koole, G. M., A simple staffing method for multi-skill call centers 2008, In: Manufacturing and Service Operations Management. 10, 3, p. 421-428
Bhulai, S., Pot, S. A. & Koole, G. M., Simple methods for shift scheduling in multi-skill call centers 2008, In: Manufacturing and Service Operations Management. 10, 3, p. 411-420
2007
van Klaveren, C. P. B. J. & Maassen van den Brink, H., Intra-household Work Time Synchronization, Togetherness or material benefits? 2007, In: Social Indicators Research. 84, 1, p. 39-52
Murre, J. M. J., Meeter, M. & Chessa, A., Modeling amnesia connectionist and mathematical approaches 2007, Statistical and process models for neuroscience and aging. M.J. Wenger & C. Schusler, 43 p.
Meeter, M., Jehee, J. F. M. & Murre, J. M. J., Neural models that convince: Model hierarchies and other strategies to bridge the gap between behavior and the brain. 7, In: Philosophical Psychology. 20, 6, p. 749-772
Meeter, M., Murre, J. M. J. & Chessa, A., Statistical and process models for neuroscience and aging 2007, Modeling amnesia: connectionist and mathematical approaches. p. 119-162 43 p.
van der Stigchel, S., Merten, H., Meeter, M. & Theeuwes, J., The effects of a task-irrelevant visual event on spatial working memory. 2007, In: Psychonomic Bulletin and Review. 14, 6, p. 1066-1071
van der Stigchel, S., Meeter, M. & Theeuwes, J., The spatial coding of inhibition e voked by distractors.2007, In: Vision Research. 47, 2, p. 210-218
van der Stigchel, S., Meeter, M. & Theeuwes, J. Top down influences make saccades deviate away: the case of endogenous cues. 2007, In: Acta Psychologica. 125, 3, p. 279-290
Rai, V., Sivasubramanian, S., Bhulai, S., Garbacki, P. & van Steen, M. R., A multiphased approach for modeling and analysis of the BitTorrent protocol 2007, 27th International Conference on Distributed Computing Systems. Los Alamitos, CA: IEEE Computer Society Press
Bhulai, S., van der Mei, R. D. & Wu, M., Heuristics for the design and optimization of streaming content distribution networks 2007, Proceedings of IEEE GLOBECOM, Washington DC.
Bhulai, S., Sivasubramanian, S., van der Mei, R. D. & van Steen, M. R., Modeling and predicting end-to-end response times in multi-tier Internet applications 2007, In: Managing Traffic Performance in Converged Networks – the Interplay between Covergent and Divergent Forces. p. 556-567 (Lecture Notes in Computer Science).
2006
Meeter, M. & Theeuwes, J., Cueing the dimension of a distractor: Verbal cues of target identity also benefit same-dimension distractor singletons. 2006, In: Psychonomic Bulletin and Review. 13, 1, p. 118-124 7 p.
Meeter, M., Talamini, L. M., Schmitt, J. A. J. & Riedel, W. J., Effects of 5-HT on memory and the hippocampus: model and data. 2006, In: Neuropsychopharmacology. 31, p. 712-720 10 p.
van der Stigchel, S., Meeter, M. & Theeuwes, J., Eye movement trajectories and what they tell us 2006, In: Neuroscience and Biobehavioral Reviews. 30, 5, p. 666-679 14 p.
Meeter, M. & Olivers, C. N. L., Intertrial priming stemming from ambiguity: A new account of priming in visual search. 2006, In: Visual Cognition. 13, 2, p. 202-222 24 p.
Murre, J. M. J., Meeter, M. & Chessa, A., Modeling amnesia:connectionist and mathematical approaches. 2006, Statistical and process models for neuroscience and aging.. Wenger, M. J. & Schuster, C. (eds.). Mahwah: NJ: Lawrence Erlbaum
Olivers, C. N. L. & Meeter, M., On the dissociation between compound and present / absent tasks in visual search: Intertrail priming is ambiguity-driven. 2006, In: Visual Cognition. 13, 1, p. 1-28 29 p.
Meeter, M., Eijsackers, E. & Mulder, J., Retrograde amnesia in patients with Alzheimer’s disease 2006, In: Journal of Clinical and Experimental Neuropsychology. 28, 6, p. 914-927 15 p.
Meeter, M., Myers, C. E., Shohamy, D., Hopkins, R. O. & Gluck, M. A., Strategies in probabilistic categorization: Results from a new way of analyzing performance. 2006, In: Learning & memory (Cold Spring Harbor, N.Y.). 13, 2, p. 230-239 11 p.
Bhulai, S., van der Mei, R. D. & Yuan, T. Modelling the impact of user mobility on the throughput in networks of wireless 802.11 LANs , 2006, Proceedings of IEEE GLOBECOM, San Francisco.
Bhulai, S., On the value function of the M/Cox(r)/1 queue 2006, In: Journal of Applied Probability. 43, 2, p. 363-376
2005
Leuven, E., Oosterbeek, H., van Klaveren, C. P. B. J. & Sloof, R. Worker reciprocity and employer investment in training 2005, In: Economica. 72, p. 137-149
Meeter, M., Knollen, A. & Scheltens, P., Jan 2005, Retrograde amnesia for semantic information in Alzheimer’s disease In: Journal of the International Neuropsychological Society. 11, 1, p. 40-48 9 p.
Meeter, M., Cognitieve Bijwerkingen van ECT [Cognitive sied effects of ECT]. 2005, Handboek Electroconvusietherapie. van den Broek, W. W., Leentjes, A. F. G., van Vliet, I. & Verwey, B. (eds.). Assen: Van Gorcum
Gluck, M. A., Myers, C. E. & Meeter, M., Cortico-hippocampal interaction and adaptive stimulus representation: A neurocomputational theory of associative learning and memory. 2005, In: Neural Networks. 18, 0, p. 1265-1279 15 p.
Meeter, M., Myers, C. E. & Gluck, M. A., Integrating incremental learning and episodic memory models of the hippocampal region. 2005, In: Psychological Review American Psychological Association. 112, 3, p. 560-585 26 p.
Fera, F., Weickert, T. W., Goldberg, T. E., Tessitore, A., Hariri, A., Das, S., Lee, S., Zoltick, B., Meeter, M., Gluck, M. A., Weinberger, D. A. & Matta, V. S., Neural mechanisms underlying probalistic category learning in normal aging. 2005, In: The Journal of Neuroscience. 25, 49, p. 11340-11348 9 p.
Talamini, L. M., Meeter, M., Murre, J. M. J., Elvevag, B. & Goldberg, T. E., Reduced parahippocampal connectivity produces schizophrenia-like deficits in simulated neural circuits with reduced parahippocampal connectivity. 2005, In: Archives of General Psychiatry. 62, 5, p. 485-493 9 p.
Meeter, M., Murre, J. M. J. & Janssen, S. M. J., Remembering the news: A forgetting study with 14,000 participants. 2005, In: Memory and Cognition. 33, 5, p. 793-810 18 p.
Meeter, M. & Murre, J. M. J., TraceLink: A model of amnesia and consolidation. 2005, In: Cognitive Neuropsychology. 22, 5, p. 559-587 30 p.
2004
Scheck, P., Meeter, M. & Nelson, T. O., Anchoring effects in the absolute accuracy if immediate versus delayed judgments of learning. 2004, In: Journal of Memory and Language. 51, 1, p. 71-79 9 p.
Meeter, M. & Murre, J. M. J., Consolidation of long-term memory: Evidence and alternatives. 2004, In: Psychological Bulletin. 130, 6, p. 843-857 15 p.
Meeter, M., Talamini, L. M. & Murre, J. M. J., Mode shifting between storage and recall based on novelty detection in oscillating hippocampal circuits. 2004, In: Hippocampus. 14, 6, p. 722-741 20 p.
Meeter, M. & Murre, J. M. J.,Simulating episodic memory deficits in semantic dementia with the TraceLink model. 2004, In: Memory. 12, 3, p. 272-287
2003
Talamini, L. M., Meeter, M. & Murre, J. M. J., Combating fuzziness with computational modeling. 2003, In: Behavioral and Brain Sciences. 26, 1, p. 107-108 2 p.
Gluck, M. A., Meeter, M. & Myers, C. E., Computational models of the hippocampal region: Linking incremental learning and episodic memory. 2003, In: Trends in Cognitive Sciences. 7, 6, p. 269-276 8 p.
Meeter, M., Control of consolidation in neural networks: Avoiding runaway effects. 2003, In: Connection Science. 15, 1, p. 45-61 17 p.
Meeter, M., Murre, J. M. J. & Janssen, S. M. J.,Fitting a patient’s remote memory: Tests, models, outcome. 2003.
Meeter, M. & Nelson, T. O., Judgements of learning after multiple study trials. 2003, In: Acta Psychologica. 113, 2, p. 123-132 10 p.
Meeter, M. & Talamini, L. M., Mode shifting between Storage and Recall based on novelty detection in oscillating hippocampal circuits. 2003.
Meeter, M. & Nelson, T., Multiple study trials and judgments of learning 2003, In: Acta Psychologica.
Bhulai, S. & Koole, G. M., A queueing model for call blending in call centers 2003, In: IEEE Transactions on Automatic Control. 48, p. 1434-1438
Bhulai, S. & Koole, G. M., On the structure of value functions for threshold policies in queueing models 2003, In: Journal of Applied Probability. 40, p. 613-622
Bhulai, S. & Spieksma, F. M.,On the uniqueness of solutions to the Poisson equations for average cost Markov chains with unbounded cost functions 2003, In: Mathematical Methods of Operations Research. 58, p. 221-236
2002
Meeter. M., Murre, J. & Talamini, L., A computational approach to memory deficits in schizophrenia, 2002, In: Neurocomputing.
Bhulai, S., Markov decision processes: the control of high-dimensional systems 2002, 142 p.
2000
Bhulai, S. & Koole, G. M., On the value of learning for Bernoulli bandits with unknown parameters 2000, In: IEEE Transactions on Automatic Control. 45, p. 2135-2140
Altman, E., Bhulai, S., Gaujal, B. & Hordijk, A., Open-loop routing to M parallel servers with no buffers 2000, In: Journal of Applied Probability. 37, p. 668-684