Prof. dr. Rens van de Schoot

Professor
Methodology and Statistics
a.g.j.vandeschoot@uu.nl

Highlighted publications

Schoot, R. V. D., Bruin, J. D., Schram, R., Zahedi, P., Boer, J. D., Weijdema, F., Kramer, B., Huijts, M., Hoogerwerf, M., Ferdinands, G., Harkema, A., Willemsen, J., Ma, Y., Fang, Q., Hindriks, S., Tummers, L., & Oberski, D. (2021). An open source machine learning framework for efficient and transparent systematic reviews. Nature Machine Intelligence, 3(2), 125-133. [DOI] [Repository]
van de Schoot, R., Depaoli, S., Kramer, B., Märtens, K., Tadesse, M. G., Vannucci, M., Gelman, A., Veen, D., Willemsen, J., & Yau, C. (2021). Bayesian statistics and modelling. Nature Reviews Methods Primers, 1(1), 1-26. Article 1. [DOI] [Repository]
Lombaers, P., de Bruin, J., & van de Schoot, R. (2024). Reproducibility and Data Storage for Active Learning-Aided Systematic Reviews. Applied Sciences, 14(9), Article 3842. [DOI] [Repository]
van de Schoot, R., Messina Coimbra, B., Evenhuis, T., Lombaers, P., Weijdema, F., de Bruin, L., Neeleman, R., Grandfield, E., Sijbrandij, M., Teijema, J. J., Jalsovec, E., Bron, M. P., Winter, S., de Bruin, J., & van Zuiden, M. (2025). The hunt for the last relevant paper: blending the best of humans and AI. European Journal of Psychotraumatology, 16(1), Article 2546214. [DOI] [Portal]
de Bruin, J., Lombaers, P., Kaandorp, C., Teijema, J., van der Kuil, T., Yazan, B., Dong, A., & van de Schoot, R. (2025). ASReview LAB v.2: Open-source text screening with multiple agents and a crowd of experts. Patterns, 6(7), Article 101318. [DOI] [Portal]

Publications

2026

Scholarly publications

van der Kuil, T., Teijema, J. J., de Bruin, J., & van de Schoot, R. (2026). ASReview Dory: Bringing new and exciting models to ASReview LAB. Software Impacts, 27, Article 100809. [DOI] [Portal]

2025

Scholarly publications

de Bruin, J., Lombaers, P., Kaandorp, C., Teijema, J., van der Kuil, T., Yazan, B., Dong, A., & van de Schoot, R. (2025). ASReview LAB v.2: Open-source text screening with multiple agents and a crowd of experts. Patterns (New York, N.Y.), 6(7), 101318. [DOI]
Boersma-van Dam, E., Shepherd, L., van de Schoot, R., Engelhard, I. M., & Van Loey, N. E. E. (2025). The prevalence of posttraumatic stress disorder symptomatology and diagnosis in burn survivors: a systematic review and meta-analysis. Health Psychology Review, 19(2), 278-304. [DOI]
Arts, I., van de Schoot, R., & Meitinger, K. (2025). Visual design effects in a cross-national context: Are Indian and US respondents differently affected by the number of text boxes? Survey Practice, 18. [DOI] [Portal]
Teijema, J. J., Ribeiro, G., Seuren, S., Anadria, D., Bagheri, A., & van de Schoot, R. (2025). Simulation-based active learning for systematic reviews: A scoping review of literature. Journal of Information Science. Advance online publication. [DOI]
Karchoud, J. F., Hoeboer, C. M., van Gelder, N., Mouthaan, J., Sijbrandij, M., Olff, M., van de Schoot, R., & van Zuiden, M. (2025). Development and external validation of a short prognostic screening instrument for PTSD one year following individual civilian trauma. European Journal of Psychotraumatology, 16(1), Article 2594266. [DOI] [Portal]
van de Schoot, R., Messina Coimbra, B., Evenhuis, T., Lombaers, P., Weijdema, F., de Bruin, L., Neeleman, R., Grandfield, E., Sijbrandij, M., Teijema, J. J., Jalsovec, E., Bron, M. P., Winter, S., de Bruin, J., & van Zuiden, M. (2025). The hunt for the last relevant paper: blending the best of humans and AI. European Journal of Psychotraumatology, 16(1), Article 2546214. [DOI] [Portal]
Peschke, L., Monschau, K., Folkvord, F., Güneş Peschke, S., & van de Schoot, R. (2025). Mode 3 knowledge production and exchange processes of research and innovation networks in AI-based research environments. Journal of Innovation and Entrepreneurship, 14(1), Article 116. [DOI] [Portal]
Coimbra, B. M., Sijbrandij, M., Engelhard, I., Neeleman, R. C., Evenhuis, T., Lombaers, P., Weijdema, F., de Bruin, L., Grandfield, E. M., Teijema, J. J., Jalsovec, E., Bron, M. P., Winter, S. D., van der Kuil, T., de Bruin, J., van de Schoot, R., & van Zuiden, M. (2025). PTSD Symptom Trajectories in the Wake of Traumatic Events: a Systematic Review and Meta-Analysis of 20 Years of Research. OSFPREPRINTS. [DOI] [Portal]
Karchoud, J. F., Hoeboer, C. M., Karaban, I., Mouthaan, J., Sijbrandij, M., Olff, M., van de Schoot, R., & van Zuiden, M. (2025). PTSD course and predictors in a 15 year longitudinal cohort following suspected serious injury. npj Mental Health Research, 4(1), Article 35. [DOI] [Portal]
de Bruin, J., Lombaers, P., Kaandorp, C., Teijema, J., van der Kuil, T., Yazan, B., Dong, A., & van de Schoot, R. (2025). ASReview LAB v.2: Open-source text screening with multiple agents and a crowd of experts. Patterns, 6(7), Article 101318. [DOI] [Portal]
van de Schoot, R., Coimbra, B. M., Evenhuis, T., Lombaers, P., Weijdema, F., de Bruin, L., Neeleman, R. C., Grandfield, E. M., Sijbrandij, M., Teijema, J. J., Jalsovec, E., Bron, M. P., Winter, S., de Bruin, J., & van Zuiden, M. (2025). The Hunt for the Last Relevant Paper: Blending the best of humans and AI. OSFPREPRINTS. [DOI] [Portal]
Teijema, J. J., de Bruin, J., Bagheri, A., & van de Schoot, R. (2025). Large-scale simulation study of active learning models for systematic reviews. International Journal of Data Science and Analytics, 20(6), 5435-5456. [DOI] [Portal]
Boersma-van Dam, E., Shepherd, L., van de Schoot, R., Engelhard, I. M., & Van Loey, N. E. E. (2025). The prevalence of posttraumatic stress disorder symptomatology and diagnosis in burn survivors: a systematic review and meta-analysis. Health Psychology Review, 19(2), 278-304. [DOI] [Portal]

2024

Scholarly publications

Arts, I., van de Schoot, R., & Meitinger, K. (2024). A Bilingual Dataset for Testing Web Probing in the US and India: The Example of Measures of Environmental Concern. Journal of Open Psychology Data, 12, 13. [DOI]
Folkvord, F., Carlson, J. I., Ottaviano, M., Carvajal, D., Gonzalez, L. H., van de Schoot, R., Turk, E., Piera-Jiménez, J., Pontes, C., Ramiro-Pareta, M., Carot-Sans, G., Podovšovnik, E., Levašič, V., Scheckenbach, K., Wagenmann, M., Szpisjak, A., Eliasen, B., Wakim, J.-M., Ernst, M., ... Fico, G. (2024). Using patient-generated health data more efficient and effectively to facilitate the implementation of value-based healthcare in the EU - Innovation report. Computational and Structural Biotechnology Journal, 24, 672-678. [DOI]
Franzoi, D., Bockting, C. L., Bennett, K. F., Odom, A., Lucassen, P. J., Pathania, A., Lee, A., Brouwer, M. E., van de Schoot, R., Wiers, R. W., & Breedvelt, J. J. F. (2024). Which individual, social, and urban factors in early childhood predict psychopathology in later childhood, adolescence and young adulthood? A systematic review. SSM - Population Health, 25, 101575. [DOI]
Monschau, K., Neeleman, R. C., Jalsovec, E., de Bruin, L., de Bruin, J., Weijdema, F., Folkvord, F., Peschke, L., Westerbeek, E., & van de Schoot, R. (2024). Introducing the Screenathon Review: Crowdsourcing Literature Screening in Large-Scale Research Collaborations. OSFPREPRINTS. [DOI]
Neeleman, R., Weijdema, F., Monschau, K., Deckers, K., Westerbeek, E., de Bruin, L., van de Schoot, R., (Frans), F. F., & Jalsovec, E. (2024). IMPROVE - Umbrella review search details. Data set/Database, OSF. [DOI]
Bron, M. P., & van de Schoot, R. (2024). Data for Combining Large Language Model Classifications and Active Learning for Improved Technology-Assisted Review. Data set/Database, OSF HOME.
van de Schoot, R., Messina Coimbra, B., Sijbrandij, M., Winter, S., & van Zuiden, M. (2024). Re-labeled PTSS dataset [Dataset]. DataverseNL. Version 1.0. Data set/Database, DataverseNL. [DOI]
Lombaers, P., Grandfield, E., & van de Schoot, R. (2024). FORAS Project: Dataset_3a, 3b, 3c, 4 - Semantic Search and Snowballing in OpenAlex.. Data set/Database, OSF HOME. [DOI]
Lombaers, P., & van de Schoot, R. (2024). Foras: Semantic Search in OpenAlex. Software, Zenodo. [DOI]
Messina Coimbra, B., & van de Schoot, R. (2024). FORAS Project: Full-text Search via Dimensions.. Data set/Database, OSF HOME. https://osf.io/7exc5/
ASReview LAB developers (2024). ASReview Datatools [version 1.3.2]. Data set/Database, Zenodo. https://zenodo.org/records/13374508
Arts, I., van de Schoot, R., & Meitinger, K. (2024). A Bilingual Dataset for Testing Web Probing in the US and India: The Example of Measures of Environmental Concern. Journal of Open Psychology Data, 12(1). [DOI] [Portal]
Folkvord, F., Carlson, J. I., Ottaviano, M., Carvajal, D., Gonzalez, L. H., van de Schoot, R., Turk, E., Piera-Jiménez, J., Pontes, C., Ramiro-Pareta, M., Carot-Sans, G., Podovšovnik, E., Levašič, V., Scheckenbach, K., Wagenmann, M., Szpisjak, A., Eliasen, B., Wakim, J. M., Ernst, M., ... Fico, G. (2024). Using patient-generated health data more efficient and effectively to facilitate the implementation of value-based healthcare in the EU – Innovation report. Computational and Structural Biotechnology Journal, 24, 672-678. [DOI] [Portal]
Karchoud, J. F., van de Schoot, R., Hoeboer, C., Karaban, I., Mouthaan, J., Sijbrandij, M., Olff, M., & van Zuiden, M. (2024). Long-term PTSD Course and Associated Predictors: A 12-15 year Prospective Longitudinal Study in Adults with Suspected Serious Injury. OSF. [DOI] [Portal]
Bron, M. P., Greijn, B., Coimbra, B. M., van de Schoot, R., & Bagheri, A. (2024). Combining Large Language Model Classifications and Active Learning for Improved Technology-Assisted Review. CEUR Workshop Proceedings, 3770, 77-95. [Portal]
Karchoud, J. F., Hoeboer, C. M., Piwanski, G., Haagsma, J. A., Olff, M., van de Schoot, R., & van Zuiden, M. (2024). Towards accurate screening and prevention for PTSD (2-ASAP): protocol of a longitudinal prospective cohort study. BMC Psychiatry, 24(1), Article 688. [DOI] [Portal]
Pieterman-Bos, A., Reincke, C. M., van de Schoot, R., & van Mil, M. H. W. (2024). Understanding epistemological notions underlying scientific language use: a multifaceted analysis framework. Frontiers in Education, 9, Article 1452111. [DOI] [Portal]
Karchoud, J. F., Haagsma, J., Karaban, I., Hoeboer, C., van de Schoot, R., Olff, M., & van Zuiden, M. (2024). Long-term PTSD prevalence and associated adverse psychological, functional, and economic outcomes: a 12-15 year follow-up of adults with suspected serious injury. European Journal of Psychotraumatology, 15(1), Article 2401285. [DOI] [Portal]
Harmsen, W., de Groot, J., Harkema, A., van Dusseldorp, I., de Bruin, J., van den Brand, S., & van de Schoot, R. (2024). Machine learning to optimize literature screening in medical guideline development. Systematic Reviews , 13(1), Article 177. [DOI] [Portal]
Byrne, F., Hofstee, L., Teijema, J., De Bruin, J., & van de Schoot, R. (2024). Impact of Active learning model and prior knowledge on discovery time of elusive relevant papers: a simulation study. Systematic Reviews , 13(1), Article 175. [DOI] [Portal]
Romanov, S., Siqueira, A. S., Bruin, J. D., Teijema, J., Hofstee, L., & Schoot, R. V. D. (2024). Optimizing ASReview simulations: A generic multiprocessing solution for ‘light-data’ and ‘heavy-data’ users. Data Intelligence, 6(2), 320-343. [DOI] [Portal]
Teijema, J. J., van de Schoot, R., Ferdinands, G., Lombaers, P., & de Bruin, J. (2024). Makita-A workflow generator for large-scale and reproducible simulation studies mimicking text labeling. Software Impacts, 21, Article 100663. [DOI] [Portal]
Lombaers, P., de Bruin, J., & van de Schoot, R. (2024). Reproducibility and Data Storage for Active Learning-Aided Systematic Reviews. Applied Sciences, 14(9), Article 3842. [DOI] [Repository]
Boetje, J., & van de Schoot, R. (2024). The SAFE procedure: a practical stopping heuristic for active learning-based screening in systematic reviews and meta-analyses. Systematic Reviews , 13(1), Article 81. [DOI] [Repository]
Neeleman, R., Leenaars, CHC., Oud, M., Weijdema, F., & van de Schoot, R. (2024). Addressing the challenges of reconstructing systematic reviews datasets: a case study and a noisy label filter procedure. Systematic Reviews, 13(1), 1-12. Article 69 . [DOI] [Repository]
Franzoi, D., Bockting, C. L., Bennett, K. F., Odom, A., Lucassen, P. J., Pathania, A., Lee, A., Brouwer, M. E., van de Schoot, R., Wiers, R. W., & Breedvelt, J. J. F. (2024). Which individual, social, and urban factors in early childhood predict psychopathology in later childhood, adolescence and young adulthood? A systematic review. SSM - Population Health, 25, 1-21. Article 101575. [DOI] [Repository]

2023

Scholarly publications

Teijema, J. J., Hofstee, L., Brouwer, M., de Bruin, J., Ferdinands, G., de Boer, J., Vizan, P., van den Brand, S., Bockting, C., van de Schoot, R., & Bagheri, A. (2023). Active learning-based systematic reviewing using switching classification models: the case of the onset, maintenance, and relapse of depressive disorders. Frontiers in Research Metrics and Analytics, 8, 1178181. [DOI]
Leitgöb, H., Seddig, D., Asparouhov, T., Behr, D., Davidov, E., De Roover, K., Jak, S., Meitinger, K., Menold, N., Muthén, B., Rudnev, M., Schmidt, P., & van de Schoot, R. (2023). Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives. Social Science Research, 110, 102805. [DOI]
Neeleman, R. C., Leenaars, C., Oud, M., Weijdema, F., & Schoot, R. V. D. (2023). Addressing the Challenges of Reconstructing Systematic Reviews Datasets V2. PsyArXiv. [DOI]
Teijema, J. J., Hofstee, L., Brouwer, M., de Bruin, J., Ferdinands, G., de Boer, J., Vizan, P., van den Brand, S., Bockting, C., van de Schoot, R., & Bagheri, A. (2023). Active learning-based systematic reviewing using switching classification models: the case of the onset, maintenance, and relapse of depressive disorders. Frontiers in Research Metrics and Analytics, 8, Article 1178181. [DOI] [Repository]
Ferdinands, G., Schram, R., de Bruin, J., Bagheri, A., Oberski, D. L., Tummers, L., Teijema, J. J., & van de Schoot, R. (2023). Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records. Systematic Reviews , 12(1), Article 100. [DOI] [Repository]
Leitgöb, H., Seddig, D., Asparouhov, T., Behr, D., Davidov, E., De Roover, K., Jak, S., Meitinger, K., Menold, N., Muthén, B., Rudnev, M., Schmidt, P., & van de Schoot, R. (2023). Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives. Social Science Research, 110, Article 102805. [DOI] [Repository]

2022

Scholarly publications

Brouwer, M., Hofstee, L., Brand, S. A. G. E. V. D., Teijema, J., Ferdinands, G., Boer, J. D., Weijdema, F., Kramer, B., Wiers, R., Bockting, C., Bruin, J. D., & Schoot, R. V. D. (2022). AI-aided Systematic Review to Create a Database with Potentially Relevant Papers on Depression, Anxiety, and Addiction. PsyArXiv. [DOI] [Portal]
Oud, M., Neeleman, R., Leenaars, C., Schoot, R. V. D., & Weijdema, F. (2022). Scripts, data and output to reproduce "Addressing the Challenges of Reconstructing Systematic Reviews Datasets: A Case Study and a Noisy Label Filter Procedure". Data set/Database, OSF. [DOI]
ASReview LAB developers (2022). ASReview systematic review datasets. Data set/Database https://github.com/asreview/systematic-review-datasets
ASReview LAB developers (2022). ASReview artwork. Digital or Visual Products https://github.com/asreview/asreview-artwork
ASReview LAB developers (2022). ASReview Makita [version 0.6]. Software https://github.com/asreview/asreview-makita
ASReview LAB developers (2022). ASReview Datatools [version 1.0]. Software [DOI]
ASReview LAB developers (2022). ASReview Wordcloud [version 1.0]. Software [DOI]
ASReview LAB developers (2022). ASReview Insights [version 1.0]. Software [DOI]
ASReview LAB developers (2022). ASReview LAB - A tool for AI-assisted systematic reviews [version 1.0]. Software [DOI]
Boersma-van Dam, E., Engelhard, I. M., van de Schoot, R., & Van Loey, N. E. E. (2022). Bio-Psychological Predictors of Acute and Protracted Fatigue After Burns: A Longitudinal Study. Frontiers in Psychology, 12, 1-8. Article 794364. [DOI] [Repository]
van Zuiden, M., Engel, S., Karchoud, J. F., Wise, T. J., Sijbrandij, M., Mouthaan, J., Olff, M., & van de Schoot, R. (2022). Sex-differential PTSD symptom trajectories across one year following suspected serious injury. European Journal of Psychotraumatology, 13(1), 1-16. Article 2031593. [DOI] [Repository]
Boersma-van Dam, E., van de Schoot, R., Engelhard, I. M., & Van Loey, N. E. E. (2022). Posttraumatic stress symptoms and interpersonal processes in burn survivors and their partners. European Journal of Psychotraumatology, 13(2), 1-15. Article 2151097. [DOI] [Repository]
Teijema, J., Hofstee, L., Brouwer, M., Bruin, J. D., Ferdinands, G., Boer, J. D., Siso, P. V., Brand, S. A. G. E. V. D., Bockting, C., Schoot, R. V. D., & Bagheri, A. (2022). Active learning-based Systematic reviewing using switching classification models: the case of the onset, maintenance, and relapse of depressive disorders. PsyArXiv. [DOI] [Repository]

2021

Scholarly publications

Arts, I., Fang, Q., van de Schoot, R., & Meitinger, K. (2021). Approximate Measurement Invariance of Willingness to Sacrifice for the Environment Across 30 Countries: The Importance of Prior Distributions and Their Visualization. Frontiers in Psychology, 12, 624032. [DOI]
Koenig, C., Depaoli, S., Liu, H., & van de Schoot, R. (2021). Editorial: Moving Beyond Non-informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research. Frontiers in Psychology, 12, 809719. [DOI]
van de Schoot, R., Winter, S. D., Griffioen, E., Grimmelikhuijsen, S., Arts, I., Veen, D., Grandfield, E. M., & Tummers, L. G. (2021). The Use of Questionable Research Practices to Survive in Academia Examined With Expert Elicitation, Prior-Data Conflicts, Bayes Factors for Replication Effects, and the Bayes Truth Serum. Frontiers in Psychology, 12, 621547. [DOI]
Boersma-van Dam, E., Engelhard, I. M., van de Schoot, R., & Van Loey, N. E. E. (2021). Bio-Psychological Predictors of Acute and Protracted Fatigue After Burns: A Longitudinal Study. Frontiers in Psychology, 12, 794364. [DOI]
Koenig, C., Depaoli, S., Liu, H., & van de Schoot, R. (2021). Editorial: Moving Beyond Non-informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research. Frontiers in Psychology, 12, 1-3. Article 809719. [DOI] [Repository]
van de Schoot, R., Griffioen, E., & Winter, S. D. (2021). Dealing with imperfect elicitation results. In A. M. Hanea, G. F. Nane, T. Bedford, & S. French (Eds.), Expert Judgement in Risk and Decision Analysis (1 ed., pp. 401-417). (International Series in Operations Research & Management Science; Vol. 293). Springer. [DOI] [Repository]
Petropoulos Petalas, D., Konijn, E. A., Johnson, B. K., Veldhuis, J., Bij de Vaate, N. A. J. D., Burgers, C., Droog, E., Miedzobrodzka, E., Balint, K. E., & van de Schoot, R. (2021). Plurality in the Measurement of Social Media Use and Mental Health: An Exploratory Study Among Adolescents and Young Adults. Social Media + Society, 7(3), 1-19. [DOI] [Repository]
van de Schoot, R., Depaoli, S., Kramer, B., Märtens, K., Tadesse, M. G., Vannucci, M., Gelman, A., Veen, D., Willemsen, J., & Yau, C. (2021). Bayesian statistics and modelling. Nature Reviews Methods Primers, 1(1), 1-26. Article 1. [DOI] [Repository]
Boverhof, B.-J., van de Schoot, R., & Bagheri, A. (2021). ASReview CNN HPO plugin. Software, Zenodo. [DOI]
Teijema, J., de Bruin, J., van de Schoot, R., Hofstee, L., & Bagheri, A. (2021). ASReview wide doc2vec plugin. Software, Zenodo. [DOI]
van de Schoot, R., Winter, S. D., Griffioen, E., Grimmelikhuijsen, S., Arts, I., Veen, D., Grandfield, E., & Tummers, L. G. (2021). The Use of Questionable Research Practices to Survive in Academia Examined With Expert Elicitation, Prior-Data Conflicts, Bayes Factors for Replication Effects, and the Bayes Truth Serum. Frontiers in Psychology, 12, 1-14. Article 621547. [DOI] [Repository]
Arts, I., Fang, Q., van de Schoot, R., & Meitinger, K. (2021). Approximate Measurement Invariance of Willingness to Sacrifice for the Environment Across 30 Countries: The Importance of Prior Distributions and Their Visualization. Frontiers in Psychology, 12, 1-18. Article 624032. [DOI] [Repository]
Ferdinands, G., Gipmans, S., van den Brand, S., de Bruin, J., Cheung, K.-C., & van de Schoot, R. (2021). Results for Simulations of Risk Analysis Documents Medicine Information Centre from the Royal Dutch Pharmacists Association. Data set/Database [DOI]
Ferdinands, G., De Bruin, J., van den Brand, S., Cheung, K.-C., Gipmans, S., & Van de Schoot, R. (2021). Scripts for simulation report on risk analyses of the KNMP. Software, Zenodo. [DOI]
Gipmans, S., Ferdinands, G., van den Brand, S., van de Schoot, R., & Cheung, K.-C. (2021). Systematic Review Data for Risk Analysis Documents Medicine Information Centre from the Royal Dutch Pharmacists Association. Data set/Database [DOI]
Vizán Siso, P., de Bruin, J., van de Schoot, R., Hofstee, L., & Bagheri, A. (2021). Code repository for: "Evaluation of the performance of neural network models and classical models in the context of Active Learning for Systematic Reviewing". Software [DOI]
Verberg, G., de Bruin, J., van de Schoot, R., Hofstee, L., & Bagheri, A. (2021). Scripts for a simulation on the effect of dataset size on neural network performance for active learning applied to systematic reviewing. Software, Zenodo. [DOI]
van den Brand, S., Hofstee, L., Teijema, J., Melnikov, V., Brouwer, M., & Van de Schoot, R. (2021). Scripts for Post-Processing Mega-Meta Screening Results. Software, Zenodo. [DOI]
Hofstee, L., Brouwer, M., van de Schoot, R., & Melnikov, V. (2021). Screening Protocol for the Mega-Meta Study on Factors Contributing to Substance Use, Anxiety and Depressive Disorders. [DOI]
Brouwer, M., Hofstee, L., de Boer, J., Weijdema, F., Lucassen, P. J., Sloot, P., Stronks, K., Van Weert, J. C. M., Wiers, R., van de Schoot, R., & Bockting, C. (2021). Search Protocol for the Mega-Meta Study on Factors Contributing to Substance Use, Anxiety and Depressive Disorders. [DOI]
Teijema, J., & Van de Schoot, R. (2021). Hyperparameter-training for the Mega-Meta project. Software, Zenodo. [DOI]
Teijema, J., de Bruin, J., van de Schoot, R., Hofstee, L., & Bagheri, A. (2021). ASReview model switcher plugin. Software, Zenodo. [DOI]
Ma, Y., Van de Schoot, R., & De Bruin, J. (2021). Wordclouds: A tool to create a visual impression of the verbal content within a systematic review dataset. Software, Zenodo. [DOI]
Harmsen, W., de Groot, J., Harkema, A., van Dusseldorp, I., De Bruin, J., Van den Brand, S., & Van de Schoot, R. (2021). Scripts for paper on Towards up-to-date medical guidelines. Software, Zenodo. [DOI]
Harmsen, W., de Groot, J., Harkema, A., van Dusseldorp, I., De Bruin, J., Van den Brand, S., & Van de Schoot, R. (2021). Artificial intelligence supports literature screening in medical guideline development: towards up-to-date medical guidelines. (pp. 1-18). Zenodo. [DOI] [Repository]
Ferdinands, G., Smid, S., van den Brand, S., de Bruin, J., & van de Schoot, R. (2021). Preprocessing systematic review data of Smid et al. (2019) for use in ASReview. Software [DOI]
de Boer, J., Hofstee, L., Hindriks, S., & Van De Schoot, R. (2021). Systematic Reviews at Utrecht University and UMC Utrecht 2020. Data set/Database, Zenodo. [DOI]
Brouwer, M., Ferdinands, G., van den Brand, S., de Boer, J., de Bruin, J., Schulte-Frankenfeld, P., van de Schoot, R., & Bockting, C. (2021). Systematic review data from “Psychological theories of depressive relapse and recurrence” (Brouwer et al., 2019). Data set/Database https://osf.io/r45yz/
Brouwer, M., Wiers, R., van den Brand, S., Hofstee, L., van de Schoot, R., & Bockting, C. (2021). Reviewing factors that contribute to substance use, anxiety and depressive disorders. PROSPERO: International Prospective Register of Systematic Reviews. https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021266297
Boersma-van Dam, E., van de Schoot, R., Geenen, R., Engelhard, I. M., & Van Loey, N. E. E. (2021). Prevalence and course of posttraumatic stress disorder symptoms in partners of burn survivors. European Journal of Psychotraumatology, 12(1), 1-10. Article 1909282. [DOI] [Repository]
Meeus, W., Vollebergh, W., Branje, S., Crocetti, E., Ormel, J., van de Schoot, R., Crone, E. A., & Becht, A. (2021). On Imbalance of Impulse Control and Sensation Seeking and Adolescent Risk: An Intra-individual Developmental Test of the Dual Systems and Maturational Imbalance Models. Journal of Youth and Adolescence, 50(5), 827-840. [DOI] [Repository]
Schoot, R. V. D., Bruin, J. D., Schram, R., Zahedi, P., Boer, J. D., Weijdema, F., Kramer, B., Huijts, M., Hoogerwerf, M., Ferdinands, G., Harkema, A., Willemsen, J., Ma, Y., Fang, Q., Hindriks, S., Tummers, L., & Oberski, D. (2021). An open source machine learning framework for efficient and transparent systematic reviews. Nature Machine Intelligence, 3(2), 125-133. [DOI] [Repository]
de Bruin, J., Ferdinands, G., Harkema, A., de Boer, J., van den Brand, S., Ma, Y., & van de Schoot, R. (2021). ASReview Software Documentation.. Software, Zenodo. [DOI]
van Dam, M. E., van de Schoot, R., Hofland, H. W., Engelhard, I. M., & Van Loey, N. E. E. (2021). Individual recovery of health-related quality of life during 18 months post-burn using a retrospective pre-burn measurement: an exploratory study. Quality of Life Research, 30(3), 737-749. [DOI] [Repository]
Zweers, I., van de Schoot, A. G. J., Tick, N. T., Depaoli, S., Clifton, J. P., Orobio de Castro, B., & Bijstra, J. O. (2021). Social–emotional development of students with social–emotional and behavioral difficulties in inclusive regular and exclusive special education. International Journal of Behavioral Development, 45(1), 59-68 . [DOI] [Repository]

2020

Scholarly publications

van de Schoot, R., de Bruin, J., Schram, R., Zahedi, P., de Boer, J., Weijdema, F., Kramer, B., Huijts, M., Hoogerwerf, M., Ferdinands, G., Harkema, A., Willemsen, J., Ma, Y., Fang, Q., Tummers, L., & Oberski, D. (2020). ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews. https://www.researchgate.net/publication/342377295_ASReview_Open_Source_Software_for_Efficient_and_Transparent_Active_Learning_for_Systematic_Reviews
Schat, E., van de Schoot, R., Kouw, W. M., Veen, D., & Mendrik, A. M. (2020). The data representativeness criterion: Predicting the performance of supervised classification based on data set similarity. PLoS One, 15(8 ), 1-16. Article e0237009. [DOI] [Repository]
Ferdinands, G., Schram, R., Van de Schoot, R., & De Bruin, J. (2020). Scripts for 'ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews'. Software, Zenodo. [DOI]
Ferdinands, G., Schram, R., Bruin, J. D., Bagheri, A., Oberski, D. L., Tummers, L., & Schoot, R. V. D. (2020, Sept 16). Active learning for screening prioritization in systematic reviews - A simulation study. OSFPREPRINTS. [DOI] [Repository]
van de Schoot, R., & de Bruin, J. (2020). Researcher-in-the-loop for systematic reviewing of text databases (video). Digital or Visual Products, Zenodo. [DOI]
van de Schoot, R., de Bruin, J., Schram, R., Zahedi, P., de Boer, J., Weijdema, F., Kramer, B., Huijts, M., Ferdinands, G., Harkema, A., Fang, Q., & Oberski, D. L. (2020). Extension for COVID-19 related datasets in ASReview.. Software, Zenodo. [DOI]
van de Schoot, R., de Bruin, J., Schram, R., Zahedi, P., de Boer, J., Weijdema, F., Kramer, B., Huijts, M., Hoogerwerf, M., Ferdinands, G., Harkema, A., Willemsen, J., Ma, Y., Fang, Q., Tummers, L., & Oberski, D. L. (2020). ASReview: Active learning for systematic reviews.. Software [DOI]
van de Schoot, R., Veen, D., Smeets, L., Winter, S. D., & Depaoli, S. (2020). A Tutorial on Using The Wambs Checklist to Avoid The Misuse of Bayesian Statistics. In R. van de Schoot, & M. Miočevic (Eds.), Small sample size solutions: A Guide for Applied Researchers and Practitioners (1 ed., pp. 30-49). Routledge. [DOI] [Repository]
Miočević, M., Levy, R., & van de Schoot, R. (2020). Introduction to Bayesian Statistics. In R. van de Schoot, & M. Miočevic (Eds.), Small Sample Size Solutions: A Guide for Applied Researchers and Practitioners (1 ed., pp. 3-12). Routledge. [DOI] [Repository]
van de Schoot, R., & Miočević, M. (2020). Small Sample Size Solutions: A Guide for Applied Researchers and Practitioners. (1 ed.) Routledge. [DOI] [Repository]
Veen, D., Egberts, M. R., Van Loey, N. E. E., & van de Schoot, R. (2020). Expert Elicitation for Latent Growth Curve Models: The Case of Posttraumatic Stress Symptoms Development in Children With Burn Injuries. Frontiers in Psychology, 11(1197), Article 1197. [DOI] [Repository]
De Wied, M., Van Der Graaff, J., De Rooij, G., Scheepers, F., Hoekstra, P. J., Branje, S., & Van De Schoot, R. (2020). The role of client empathy in treatment outcome in a sample of adolescents referred to forensic youth psychiatric services. Children and Youth Services Review, 118, 1-8. Article 105301. [DOI] [Repository]
van Oudheusden, L. J. B., van de Schoot, R., Hoogendoorn, A., van Oppen, P., Kaarsemaker, M., Meynen, G., & van Balkom, A. J. L. M. (2020). Classification of comorbidity in obsessive–compulsive disorder: A latent class analysis. Brain and Behavior, 10(7), Article e01641. [DOI] [Repository]
Smid, S. C., McNeish, D., Miočević, M., & van de Schoot, R. (2020). Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts: A Systematic Review. Structural Equation Modeling, 27(1), 131-161. [DOI] [Repository]
Smid, S. C., Depaoli, S., & Van De Schoot, R. (2020). Predicting a Distal Outcome Variable From a Latent Growth Model: ML versus Bayesian Estimation. Structural Equation Modeling, 27(2), 169-191. [DOI] [Repository]
Egberts, M. R., Engelhard, I. M., van de Schoot, R., Bakker, A., Geenen, R., van der Heijden, P. G. M., & Van Loey, N. E. E. (2020). Mothers’ emotions after pediatric burn injury: Longitudinal associations with posttraumatic stress- and depressive symptoms 18 months postburn. Journal of Affective Disorders, 263, 463-471. [DOI] [Repository]
van Veen, S. C., van Schie, K., van de Schoot, A. G. J., van den Hout, M. A., & Engelhard, I. M. (2020). Making eye movements during imaginal exposure leads to short-lived memory effects compared to imaginal exposure alone. Journal of Behavior Therapy and Experimental Psychiatry, 67, Article 101466. [DOI] [Repository]
Zweers, I., Tick, N. T., Bijstra, J. O., & van de Schoot, R. (2020). How do included and excluded students with SEBD function socially and academically after 1,5 year of special education services? European Journal of Developmental Psychology, 17(3), 317-335. [DOI] [Repository]
Knies, E., Leisink, P., & van de Schoot, R. (2020). People management: developing and testing a measurement scale. International Journal of Human Resource Management, 31(6), 705-737. [DOI] [Repository]

2019

Scholarly publications

Lek, K. M., & van de Schoot, R. (2019). How the Choice of Distance Measure Influences the Detection of Prior-Data Conflict. Entropy, 21(5). [DOI] [Repository]
Brinkman, L., Goffin, S., van de Schoot, R., van Haren, N. E. M., Dotsch, R., & Aarts, H. (2019). Quantifying the informational value of classification images. Behavior Research Methods, 51(5), 2059-2073. [DOI] [Repository]
Zweers, I., Bijstra, J. O., Tick, N. T., & Van De Schoot, R. A. G. J. (2019). Which school for whom? Placement choices for inclusion or exclusion of Dutch students with social, emotional, and behavioral difficulties in primary education. School Psychology Review, 48(1), 46-67. [DOI] [Repository]
Zondervan-Zwijnenburg, M., Depaoli, S., Peeters, M., & Van De Schoot, R. (2019). Pushing the Limits: The Performance of Maximum Likelihood and Bayesian Estimation with Small and Unbalanced Samples in a Latent Growth Model. Methodology, 15, 31-43. [DOI] [Repository]
Miočević, M., & van de Schoot, R. (2019). Gentle introduction to Bayesian statistics. In Advanced Research Methods and Statistics for the Behavioral and Social Sciences (pp. 289-308). (New Statistical Trends in the Social and Behavioral Sciences; Vol. 5). Cambridge University Press. [DOI]

Professional publications

Van De Vijver, F. J. R., Davidov, E., Avvisati, F., Eid, M., van de Schoot, R., Fox, J. P., Lek, K. M., Meuleman, B., Paccagnella, M., & le Donné, N. (2019). Invariance analyses in large-scale studies. (OECD Education Working Papers; Vol. 201). OECD. [DOI] [Repository]
Lek, K. M., van de Schoot-Hubeek, W., Kroesbergen, E. H., & van de Schoot, R. (2019). Wie weet het beter, de docent of de centrale eindtoets? De Psycholoog, 2019, 10-21. https://www.tijdschriftdepsycholoog.nl/wetenschap/wie-weet-het-beter-de-docent-of-de-centrale-eindtoets/ [Repository]

Other output

Egberts, M. R., Engelhard, I., van de Schoot, R., Bakker, A., Geenen, R., van der Heijden, P. G. M., & Van Loey, N. E. E. (2019). Mothers' emotions after paediatric burn injury: longitudinal associations with posttraumatic stress-and depressive symptoms. European Journal of Psychotraumatology, 10(Supplement 1), F7.2. Article 1613836. [DOI] [Repository]

2018

Scholarly publications

Lek, K., & Van De Schoot, R. (2018). Development and Evaluation of a Digital Expert Elicitation Method Aimed at Fostering Elementary School Teachers' Diagnostic Competence. Frontiers in Education, 3, 1-14. Article 82. [DOI] [Repository]
Egberts, M. R., van de Schoot, R., Geenen, R., & Van Loey, N. E. E. (2018). Mother, father and child traumatic stress reactions after paediatric burn: Within-family co-occurrence and parent-child discrepancies in appraisals of child stress. Burns, 44(4), 861-869. [DOI] [Repository]
König, C., & van de Schoot, R. (2018). Bayesian statistics in educational research: a look at the current state of affairs. Educational Research Review, 70(4), 486-509. [DOI] [Repository]
Hoofs, H., van de Schoot, R., Jansen, N. W. H., & Kant, IJ. (2018). Evaluating Model Fit in Bayesian Confirmatory Factor Analysis With Large Samples: Simulation Study Introducing the BRMSEA. Educational and Psychological Measurement, 78(4), 537-568. [DOI] [Repository]
Rens van de Schoot (2018). Manipulating the alpha level cannot cure significance testing. Frontiers in Psychology, 9, Article 699. [DOI] [Repository]
Lek, K. M., & Van De Schoot, R. (2018). A Comparison of the Single, Conditional and Person-Specific Standard Error of Measurement: What do They Measure and When to Use Them? Frontiers in Applied Mathematics and Statistics, 4, Article 40. [DOI] [Repository]
Veen, D., Stoel, D., Schalken, N., Mulder, K., & van de Schoot, R. (2018). Using the Data Agreement Criterion to rank Experts' beliefs. Entropy, 20(8), Article 592. [DOI] [Repository]
Hoijtink, H., & van de Schoot, R. (2018). Testing small variance priors using prior-posterior predictive p values. Psychological Methods, 23(3), 561-569. [DOI] [Portal]
van de Schoot, R., Sijbrandij, M., Depaoli, S., Winter, S. D., Olff, M., & van Loey, N. E. (2018). Bayesian PTSD-Trajectory Analysis with Informed Priors Based on a Systematic Literature Search and Expert Elicitation. Multivariate Behavioral Research, 53(2), 267-291. [DOI] [Repository]
Wolvers, M. D. J., Bussmann, J. B. J., Bruggeman-Everts, F. Z., Boerema, S. T., van de Schoot, R., & Vollenbroek-Hutten, M. M. R. (2018). Physical Behavior Profiles in Chronic Cancer-Related Fatigue. International Journal of Behavioral Medicine, 25(1), 30-37. [DOI] [Repository]
Hox, J. J. C. M., Moerbeek, M., & van de Schoot, R. (2018). Multilevel analysis: Techniques and Applications. (3 ed.) (Quantitative Methodology Series). Routledge.

2017

Scholarly publications

Bruggeman-Everts, F. Z., Wolvers, M. D. J., van de Schoot, R., Vollenbroek-Hutten, M. M. R., & Van der Lee, M. L. (2017). Effectiveness of Two Web-Based Interventions for Chronic Cancer-Related Fatigue Compared to an Active Control Condition: Results of the "Fitter na kanker" Randomized Controlled Trial. Journal of Medical Internet Research, 19(10), Article e336. [DOI] [Repository]
van de Schoot, R., Schalken, N., & Olff, M. (2017). Systematic search of Bayesian statistics in the field of psychotraumatology. European Journal of Psychotraumatology, 8(sup1), Article 1375339. [DOI] [Repository]
Zondervan-Zwijnenburg, M., Peeters, M., Depaoli, S., & Van de Schoot, R. (2017). Where Do Priors Come From? Applying Guidelines to Construct Informative Priors in Small Sample Research. Research in Human Development, 14(4), 305-320. [DOI] [Repository]
Veen, D., Stoel, D., Zondervan - Zwijnenburg, M., & van de Schoot, R. (2017). Proposal for a five-step method to elicit expert judgment. Frontiers in Psychology, 8(DEC), Article 2110. [DOI] [Repository]
van de Schoot, R., Winter, S., Ryan, O., Zondervan - Zwijnenburg, M., & Depaoli, S. (2017). A systematic review of Bayesian articles in psychology: The last 25 years. Psychological Methods, 22(2), 217-239. [DOI] [Repository]
Zondervan - Zwijnenburg, M. A. J., van de Schoot-Hubeek, W., Lek, K. M., Hoijtink, H. J. A., & van de Schoot, A. G. J. (2017). Application and evaluation of an expert judgment elicitation procedure for correlations. Frontiers in Psychology, 8, Article 90. [DOI] [Repository]
Egberts, M. R., van de Schoot, A. G. J., Geenen, R., & Van Loey, N. E. E. (2017). Parents' posttraumatic stress after burns in their school-aged child: A prospective study. Health Psychology, 36(5), 419-428. [DOI] [Repository]
van de Schoot, A. G. J., Sijbrandij, E. M., Winter, S. D., Depaoli, S., & Vermunt, J. K. (2017). The GRoLTS-Checklist: Guidelines for Reporting on Latent Trajectory Studies. Structural Equation Modeling, 24(3), 451-467. [DOI] [Repository]
Depaoli, S., Rus, H., Clifton, J., van de Schoot, A. G. J., & Tiemensma, J. (2017). An introduction to Bayesian statistics in health psychology. Health Psychology Review, 11(3), 248-264. [DOI] [Repository]
Vanbrabant, L., van de Schoot, A. G. J., Van Loey, N., & Rosseel, Y. (2017). A General procedure for Testing Inequality Contstrained Hypotheses in SEM. Methodology, 13(2), 61-70 . [DOI] [Repository]
Depaoli, S., & van de Schoot, R. (2017). Improving Transparency and Replication in Bayesian Statistics: The WAMBS-Checklist. Psychological Methods, 22(2), 240-261. [DOI] [Repository]

Professional publications

Lek, K. M., van de Schoot-Hubeek, W., Kroesbergen, E. H., & van de Schoot, R. (2017). Het betrouwbaarheidsinterval in intelligentietests: Hoe zat het ook alweer? . De Psycholoog, 1(1), 10-24. https://www.tijdschriftdepsycholoog.nl/wetenschap/het-betrouwbaarheidsinterval-in-intelligentietests/ [Repository]

Other output

Zweers, I., van de Schoot, R., Tick, N. T., Depaoli, S., Clifton, J. P., Orobio De Castro, B., & Bijstra, J. O. (2017). Application of Bayesian LGCM to study students with SEBD. 18th European Conference on Developmental Psychology, Utrecht, Netherlands.
Smid, S. C., Mc Neish, D. M. N., & van de Schoot, R. (2017). Bayesian vs Maximum Likelihood Estimation for Multilevel Models with Small Samples: A Systematic Review. Presented at the 11th International Multilevel Conference, Utrecht, The Netherlands..
Smid, S. C., Mc Neish, D. M. N., & van de Schoot, R. (2017). Structural equation models with small samples: Bayesian vs maximum likelihood estimation. Poster presented at the 29th Association for Psychological Science (APS) annual convention, Boston, MA, USA..
Smid, S. C., Mc Neish, D., & van de Schoot, R. (2017). Bayesian structural equation models with small samples. Part of the symposium entitled, “What the Dutch can do with prior information” at the 2017 Modern Modeling Methods (M3) Conference, Storrs, CT, USA.. Manuscript in preparation

2016

Scholarly publications

Koops, W., van den Kerkhof, M., Ostermeier, C., & van de Schoot, R. (2016). A Bildung-psychological investigation into student motives: McKinsey- or von Humboldt-oriented? European Journal of Developmental Psychology, 13(6), 756-774. [DOI] [Repository]
Ter Heide, F. J. J., Mooren, T., van de Schoot, R., de Jongh, A., & Kleber, R. J. (2016). Eye movement desensitisation and reprocessing therapy v. stabilisation as usual for refugees: randomised controlled trial. British Journal of Psychiatry, 209(4), 311-318. [DOI] [Repository]
van Dijk, H. M., van de Schoot, A. G. J., Rijkeboer, M. M., Mathews, C. A., & Cath, D. C. (2016). The relationship between tics, OC, ADHD and autism symptoms: A cross-disorder symptom analysis in Gilles de la Tourette syndrome patients and family-members. Psychiatry Research, 237, 138-146. [DOI] [Repository]
Thormar, S. B., Sijbrandij, E. M., Gersons, B. P. R., van de Schoot, A. G. J., Juen, B., Karlsson, T., & Olff, M. (2016). PTSD Symptom Trajectories in Disaster Volunteers: The Role of Self-Efficacy, Social Acknowledgement, and Tasks Carried Out. Journal of Traumatic Stress, 29(1), 17-25. [DOI] [Repository]
Lüftenegger, M., Finsterwald, M., Klug, J., Bergsmann, E., van de Schoot, R., Schober, B., & Wagner, P. (2016). Fostering pupils’ lifelong learning competencies in the classroom: evaluation of a training programme using a multivariate multilevel growth curve approach. European Journal of Developmental Psychology, 13(6), 719-736. [DOI] [Repository]
Meeus, W., van de Schoot, R., Hawk, S. T., Hale, W. W., & Branje, S. (2016). Direct Aggression and Generalized Anxiety in Adolescence: Heterogeneity in Development and Intra-Individual Change. Journal of Youth and Adolescence, 45(2), 361-375. [DOI] [Repository]
Egberts, M. R., van de Schoot, R., Boekelaar, A., Hendrickx, H., Geenen, R., & Van Loey, N. E. E. (2016). Child and adolescent internalizing and externalizing problems 12 months postburn: the potential role of preburn functioning, parental posttraumatic stress, and informant bias. European child & adolescent psychiatry, 25(7), 791-803. [DOI] [Repository]
Basten, M., Tiemeier, H., Althoff, R. R., van de Schoot, R., Jaddoe, V. W. V., Hofman, A., Hudziak, J. J., Verhulst, F. C., & van der Ende, J. (2016). The Stability of Problem Behavior Across the Preschool Years: An Empirical Approach in the General Population. Journal of Abnormal Child Psychology, 44(2), 393-404. [DOI] [Repository]

Other output

Peeters, M., Boendermaker, W. J., Veltkamp, R. C., van de Schoot, R., & Beun, R. J. (2016). the Fling: serious game for the training of behavioral control . Software
Veen, D., Van Loey, N. E. E., van Baar, A. L., Wijnen, F. N. K., & van de Schoot, A. G. J. (2016). Eliciting and Using Expert Information in Latent Growth Curve Models: Research Plan. Poster session presented at VNOP ISED CAS Research Days, Leiden.
Egberts, M. R., van de Schoot, R., Geenen, R., & Van Loey, N. (2016). Agreement on child traumatic stress symptoms after pediatric burn injury: The role of parents’ own stress reactions. 204. Paper presented at 32nd Annual Meeting of the International Society for Traumatic Stress Studies, Dallas, United States.
Egberts, M. R., van de Schoot, R., Geenen, R., & Van Loey, N. (2016). The course of posttraumatic stress symptoms in couples in relation to parental emotions and appraisal following pediatric burns. Abstract from 32nd Annual Meeting of the International Society for Traumatic Stress Studies, Dallas, United States.

2015

Scholarly publications

van de Schoot, R., Schmidt, P., De Beuckelaer, A., Lek, K. M., & Zondervan - Zwijnenburg, M. A. J. (2015). Editorial: Measurement Invariance. Frontiers in Psychology, 6, 1-4. Article 1064. [DOI] [Repository]
van de Schoot, A. G. J., Schmidt, P., & De Beuckelaer, A. (2015). Measurement Invariance. Frontiers Media. [DOI]
Konijn, E. A., van de Schoot, R., Winter, S. D., & Ferguson, C. J. (2015). Possible Solution to Publication Bias Through Bayesian Statistics, Including Proper Null Hypothesis Testing. Communication Methods and Measures, 9(4), 280-302. [DOI] [Repository]
Moerbeek, M., & van de Schoot, A. G. J. (2015). VI European Congress of Methodology. Methodology, 11(4), 117-118. [DOI] [Repository]
Peeters, M., Zondervan-Zwijnenburg, M. A. J., Vink, G., & van de Schoot, R. (2015). How to handle missing data: A comparison of different approaches. European Journal of Developmental Psychology, 12(4), 377-394. [DOI] [Repository]
Van De Schoot, R., Schmidt, P., De Beuckelaer, A., Lek, K., & Zondervan-Zwijnenburg, M. A. J. (2015). Editorial: Measurement Invariance. Frontiers in Psychology, 6, Article 1064. [DOI] [Repository]
Wolvers, M. D., Bruggeman-Everts, F. Z., Van der Lee, M. L., Van de Schoot, R., & Vollenbroek-Hutten, M. M. (2015). Effectiveness, Mediators, and Effect Predictors of Internet Interventions for Chronic Cancer-Related Fatigue: The Design and an Analysis Plan of a 3-Armed Randomized Controlled Trial. JMIR Research Protocols, 4(2), 1-22. Article e77. [DOI] [Repository]
Van de Schoot, R. (2015). Latent growth mixture models to estimate PTSD trajectories. European Journal of Psychotraumatology, 6, Article 27503. [DOI] [Repository]
Johnson, A. R., van de Schoot, R., Delmar, F., & Crano, W. D. (2015). Social Influence Interpretation of Interpersonal Processes and Team Performance Over Time Using Bayesian Model Selection. Journal of Management, 41(2), 574-606. [DOI] [Repository]
van de Schoot, R., Broere, J., Perryck, K., Zondervan - Zwijnenburg, M. A. J., & Van Loey, N. E. E. (2015). Analyzing small data sets using Bayesian estimation: The case of posttraumatic stress symptoms following mechanical ventilation in burn survivors. European Journal of Psychotraumatology, 6, Article 25216. [DOI] [Repository]
Vanbrabant, L., Van De Schoot, R., & Rosseel, Y. (2015). Constrained statistical inference: sample-size tables for ANOVA and regression. Frontiers in Psychology, 5, Article 1565. [DOI] [Repository]
Stefanek, E., Strohmeier, D., & Van De Schoot, R. (2015). Individual and class room predictors of same-cultural friendship preferences in multicultural schools. International Journal of Behavioral Development, 39(3), 255–265. [DOI] [Repository]
Can, S., van de Schoot, R., & Hox, J. (2015). Collinear Latent Variables in Multilevel Confirmatory Factor Analysis: A Comparison of Maximum Likelihood and Bayesian Estimation. Educational and Psychological Measurement, 75(3), 406–427. [DOI] [Repository]

Other output

van de Schoot, R. (2015). Latent trajectory studies: the basics, how to interpret the results, and what to report. European Journal of Psychotraumatology, 6, 27514. [DOI] [Repository]
Depaoli, S., van de Schoot, R., van Loey, N., & Sijbrandij, M. (2015). Using Bayesian statistics for modeling PTSD through Latent Growth Mixture Modeling: implementation and discussion. European Journal of Psychotraumatology, 6, Article 27516. [DOI] [Repository]

2014

Scholarly publications

Meeus, W., van de Schoot, R., Klimstra, T., & Branje, S. (2014). Correction to: Personality Types in Adolescence: Change and stability and Links With Adjustment and Relationships: A Five-Wave Longitudinal Study. Developmental Psychology, 50(5), 1563. [DOI] [Repository]
Meeus, W., van de Schoot, R., Keijsers, L., Schwartz, S. J., & Branje, S. (2014). Erratum to: On the Progression and Stability of Adolescent Identity Formation. A Five-Wave Longitudinal Study in Early-to-Middle and Middle-to-Late Adolescence. Child Development, 85(3), 1320. [DOI] [Repository]
van de Schoot, R., & Depaoli, S. (2014). Bayesian analyses: Where to start and what to report. The European Health Psychologist, 16(2), 75-84. https://www.ehps.net/ehp/index.php/contents/article/view/ehp.v16.i2.p75 [Repository]
Stroebe, M., Stroebe, W., Van De Schoot, R., Schut, H., Abakoumkin, G., & Li, J. (2014). Guilt in Bereavement: The Role of Self-Blame and Regret in Coping with Loss. PLoS One, 9(5), Article e96606. [DOI] [Repository]
Verhulp, E. E., Stevens, G. W. J. M., van de Schoot, R., & Vollebergh, W. A. M. (2014). Using the Youth Self-Report internalizing syndrome scales among immigrant adolescents: Testing measurement invariance across groups and over time. European Journal of Developmental Psychology, 11(1), 102-110. [DOI]
Lommen, M. J. J., Van De Schoot, R., & Engelhard, I. M. (2014). The experience of traumatic events disrupts the measurement invariance of a posttraumatic stress scale. Frontiers in Psychology, 5, 1-7. Article 1304. [DOI] [Repository]
van de Schoot, R., Verhoeven, M., & Hoijtink, H. (2014). Corrigendum to: Bayesian evaluation of informative hypotheses in SEM using Mplus. European Journal of Developmental Psychology, 11(3), 396. [DOI]
Asendorpf, J. B., Van De Schoot, R., Denissen, J. J. A., & Hutteman, R. (2014). Reducing bias due to systematic attrition in longitudinal studies: The benefits of multiple imputation. International Journal of Behavioral Development, 38(5), 453-460. [DOI]
Lüftenegger, M., van de Schoot, R., Schober, B., Finsterwald, M., & Spiel, C. (2014). Promotion of students' mastery goal orientations: does TARGET work? Educational Psychology, 34(4), 451-469. [DOI]
Kroese, F. M., Adriaanse, M. A., Vinkers, C. D. W., van de Schoot, R., & de Ridder, D. T. D. (2014). The effectiveness of a proactive coping intervention targeting self-management in diabetes patients. Psychology & health, 29(1), 110-125. [DOI] [Repository]
Bakker, A., van der Heijden, P. G. M., van Son, M. J. M., van de Schoot, R., Vandermeulen, E., Helsen, A., & Van Loey, N. E. E. (2014). The relationship between behavioural problems in preschool children and parental distress after a paediatric burn event. European child & adolescent psychiatry, 23(9), 813-822. [DOI] [Repository]
Schultes, M. T., Stefanek, E., van de Schoot, R., Strohmeier, D., & Spiel, C. (2014). Measuring implementation of a school-based violence prevention program: Fidelity and teachers' responsiveness as predictors of proximal outcomes. Zeitschrift für Psychologie, 222(1), 49-57. [DOI]
Hox, J. J., Moerbeek, M., Kluytmans, A., & van de Schoot, R. (2014). Analyzing indirect effects in cluster randomized trials: The effect of estimation method, number of groups and group sizes on accuracy and power. Frontiers in Psychology, 5, Article 78. [DOI] [Repository]
Lommen, M. J. J., Engelhard, I. M., van de Schoot, R., & van den Hout, M. A. (2014). Anger: Cause or Consequence of Posttraumatic Stress? A Prospective Study of Dutch Soldiers. Journal of Traumatic Stress, 27(2), 200-207. [DOI]
Van de Schoot, R., Kaplan, D., Denissen, J. J. A., Asendorpf, J. B., Neyer, F. J., & van Aken, M. A. G. (2014). A Gentle Introduction to Bayesian Analysis: Applications to Developmental Research. Child Development, 85(3), 842-860. [DOI] [Repository]
Peeters, M., Monshouwer, K., van de Schoot, R., Janssen, T., Vollebergh, W., & Wiers, R. (2014). Personality and the Prediction of High-Risk Trajectories of Alcohol Use During Adolescence. Journal of Studies on Alcohol and Drugs, 75(5), 790-798. [DOI]
Kool, M. B., Van de Schoot, R., López-Chicheri García, I., Mewes, R., Da Silva, J. A. P., Vangronsveld, K., Wismeijer, A. A. J., Lumley, M. A., van Middendorp, H., Bijlsma, J. W. J., Crombez, G., Rief, W., & Geenen, R. (2014). Measurement invariance of the Illness Invalidation Inventory (3*I) across language, rheumatic disease and gender. Annals of the Rheumatic Diseases, 73(3), 551-556. [DOI]

Professional publications

Yerkes, M., van de Schoot, R., & Sonneveld, H. (2014). From a PhD to What? The Importance of the education-employment transition: Lessons from the Netherlands. ADAPT Labor Bulletin, 3, 1-3. [Repository]

Other output

Chryssochoidis, G., van de Schoot, A. G. J., & Tummers, L. (2014). Modelling Double-Moderated-Mediation & Confounder Effects Using Bayesian Statistics. Paper presented at The Academy of Marketing, Bournemouth, United Kingdom.

2013

Scholarly publications

Verhulp, E. E., Stevens, G. W. J. M., Van De Schoot, R., & Vollebergh, W. A. M. (2013). Erratum to: Understanding ethnic differences in mental health service use for adolescents’ internalizing problems: the role of emotional problem identification: Erratum to: Eur Child Adolesc Psychiatry DOI 10.1007/s00787-013-0380-3. European Child and Adolescent Psychiatry, 22(7), 423-424. [DOI] [Repository]
Hox, J. J. C. M., & van de Schoot, A. G. J. (2013). Robust Methods for Multilevel Analysis. In The SAGE Handbook of Multilevel Modeling (pp. 387-402). SAGE.
van de Schoot, R., Kluytmans, A., Tummers, L., Lugtig, P., Hox, J., & Muthen, B. (2013). Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance. Frontiers in Psychology, 4, Article 770. [DOI]
Bergsmann, E., Van de Schoot, R., Schober, B., Finsterwald, M., & Spiel, C. (2013). The effect of classroom structure on verbal and physical aggression among peers: A short-term longitudinal study. Journal of School Psychology, 51(2), 159-174.
Verhulp, E. E., Stevens, G. W. J. M., Van de Schoot, R., & Vollebergh, W. A. M. (2013). Erratum to: Understanding ethnic differences in mental health service use for adolescents’ internalizing problems: the role of emotional problem identification. European child & adolescent psychiatry, 22(7), 423-424. [DOI]
Mouthaan, J., Sijbrandij, E., De Vries, G. J., Reitsma, J. B., Van de Schoot, R., Goslings, J. C., Luitse, J. S. K., Bakker, F. C., Gersons, B. P. R., & Olff, M. (2013). Internet-based early intervention to prevent posttraumatic stress disorder in injury patients: A randomized controlled trial. Journal of Medical Internet Research, 15(8), Article e165. [DOI]
van de Schoot, R., Verhoeven, M., & Hoijtink, H. (2013). Bayesian evaluation of informative hypotheses in SEM using Mplus: A black bear story. European Journal of Developmental Psychology, 10(1), 81-98. [DOI] [Portal]
van Loey, N. E. E., Van de Schoot, R., Gerdin, B., Faber, A. W., Sjoberg, F., & Willebrand, M. (2013). The Burn Specific Health Scale-Brief: measurement invariant across European countries. Journal of Trauma and Acute Care Surgery, 74(5), 1321-1326. [DOI]
Verhulp, E. E., Stevens, G. W. J. M., Van de Schoot, R., & Vollebergh, W. A. M. (2013). Understanding ethnic differences in mental health service use for adolescents’ internalizing problems: the role of emotional problem identification. European child & adolescent psychiatry, 22(7), 413-421. [DOI]
Peeters, M., Monshouwer, K., van de Schoot, R., Janssen, T., Vollebergh, W. A. M., & Wiers, R. W. (2013). Automatic processes and the drinking behavior in early adolescence: A prospective study. Alcoholism: Clinical and Experimental Research, 37(10), 1737-1744. [DOI]
van Rossum, M., Van de Schoot, R., & Hoijtink, H. J. A. (2013). "Is the hypothesis correct" or "Is it not": Bayesian evaluation of one informative hypothesis in ANOVA. Methodology, 9(1), 13-22. [DOI]
Ponizovsky, Y., Dimitrova, R., Schachner, M. K., & Van de Schoot, R. (2013). The Satisfaction with Life Scale: Measurement invariance across immigrant groups. European Journal of Developmental Psychology, 10(4), 526-532. [DOI]
Reijntjes, A. H. A., Vermande, M. M., Goosens, F. A., Olthof, T., Van de Schoot, R., Aleva, A. E., & van der Meulen, M. (2013). Developmental trajectories of bullying and social dominance in youth. Child Abuse & Neglect, 37(4), 224-234. [DOI]
Hox, J. J., & Van de Schoot, R. (2013). Robust Methods for Multilevel Models. In M. A. Scott, J. S. Simono, & B. D. Marx (Eds.), The SAGE Handbook of Multilevel Modeling SAGE.
Reijntjes, A. H. A., Vermande, M. M., Goossens, F. A., Olthof, T., Van de Schoot, R., Aleva, A. E., & van der Meulen, M. (2013). Costs and benefits of bullying in the context of the peer group: A three wave longitudinal analysis. Journal of Abnormal Child Psychology, 41(8), 1217-1229. [DOI]
van de Schoot, R., Yerkes, M. A., Mouw, J., & Sonneveld, H. (2013). What took them so long? Explaining PhD delays among doctoral candidates. PLoS One, 8(7), Article e68839. [DOI] [Repository]

Other output

Zondervan - Zwijnenburg, M. A. J., van de Schoot, A. G. J., & Johnson, A. R. (2013). Computing complexity for the Bayes Factor in inequality constrained hypotheses. https://rensvandeschoot.files.wordpress.com/2014/05/complexity.pdf
Knies, E., Leisink, P. L. M., & van de Schoot, A. G. J. (2013). People management: The development of a measurement scale. Paper. Paper presented at The 8th International Conference of the Dutch HRM Network, Leuven.

2012

Scholarly publications

Stefanek, E., Strohmeier, D., van de Schoot, A. G. J., & Spiel, C. (2012). Bullying and Victimization in Ethnically Diverse Schools. In M. Messer, R. Schroeder, & R. Wodak (Eds.), Migrations: Interdisciplinary Perspectives (pp. 79-88). Springer. https://www.springer.com/us/book/9783709109496
van de Schoot, A. G. J. (2012). Aggressive Behaviour in Native, First- and Second-Generation Immigrant Youth: Testing Inequality Constrained Hypotheses. In M. Messer, R. Schroeder, & R. Wodak (Eds.), Migrations: Interdisciplinary Perspectives (pp. 89-98). Springer. https://www.springer.com/us/book/9783709109496
van Loey, N. E., van Beeck, E. F., Faber, B. W., van de Schoot, R., & Bremer, M. (2012). Health-related quality of life after burns: a prospective multicenter cohort study with 18 months follow-up. Journal of Trauma and Acute Care Surgery, 72(2), 513-20. [DOI]
Van Loey, N. E., van de Schoot, R., & Faber, A. W. (2012). Posttraumatic Stress Symptoms after Exposure to Two Fire Disasters: Comparative Study. PLoS One, 7(7), Article e41532. [DOI] [Repository]
Kesselring, M. C., de Winter, M., Horjus, B., Van de Schoot, R., & Van Yperen, T. (2012). Do parents think it takes a village? Parents' attitudes towards nonparental adults' involvement in the upbringing and nurture of children. Journal of Community Psychology, 40(8), 921-937. [DOI]
Peeters, M., Wiers, R. W., Monshouwer, K., Van de Schoot, R., Janssen, T., & Vollebergh, W. A. M. (2012). Automatic Processes in At-Risk Adolescents: The role of Alcohol-Approach Tendencies and Response Inhibition in Drinking Behavior. Addiction, 107(11), 1939-1946. [DOI]
Van de Schoot, R., & Wong, T. M. L. (2012). Do Delinquent Young Adults have a High or a Low Level of Self-concept? Self and Identity, 11(2), 148-169. [DOI]
Lüftenegger, M., Schober, B., Van de Schoot, R., Wagner, P., Finsterwald, M., & Spiel, C. (2012). Lifelong Learning as a goal - Do autonomy and self-regulation in school result in well prepared pupils? Learning and Instruction, 22(1), 27-36. [DOI]
Yerkes, M., Van de Schoot, R., & Sonneveld, H. (2012). Who are the job seekers? Explaining unemployment among doctoral recipients. International Journal of Doctoral Studies, 7, 153-166. [DOI]
Gorlova, N., Romanyuk, L., Vanbrabant, L. G. F., & Van de Schoot, R. (2012). Meaning-in-life orientations and values in youth: Cross-cultural comparison. European Journal of Developmental Psychology, 9(6), 744-750. [DOI]
Van de Schoot, R., Hoijtink, H. J. A., Romeijn, J. W., & Brugman, D. (2012). A Prior Predictive Loss Function for the Evaluation of Inequality Constrained Hypotheses. Journal of Mathematical Psychology, 56(1), 13-23. [DOI]
Yerkes, M., Van de Schoot, R., & Sonneveld, H. (2012). Genderongelijkheid in het Nederlandse promotiestelsel: Een verkennend onderzoek. Tijdschrift voor Genderstudies, 15(3), 7-23.
Hox, J. J., Van de Schoot, R., & Matthijsse, S. (2012). How few countries will do? Comparative survey analysis from a Bayesian perspective. Survey Research Methods, 6(2), 87-93. [DOI] [Repository]
Sijbrandij, E. M., Engelhard, I. M., Opmeer, B. C., Van de Schoot, R., Carlier, I. V., Gersons, B. P., & Olff, M. (2012). The Structure of Peritraumatic Dissociation: A cross validation in clinical and nonclinical samples. Journal of Traumatic Stress, 25(4), 475-479. [DOI]
Stievenart, M., Casonato, M., Muntean, A., & Van de Schoot, R. (2012). Friends and Family Interview: Measurement invariance across Belgium and Romania. European Journal of Developmental Psychology, 9(6), 737-743. [DOI]
Van de Schoot, R., Lugtig, P. J., & Hox, J. J. (2012). A checklist for testing measurement invariance. European Journal of Developmental Psychology, 9(4), 486-492. [DOI]
Wong, T. M. L., & van de Schoot, R. (2012). The Effect of Offenders' Sex on Reporting Crimes to the Police. Journal of Interpersonal Violence, 27(7), 1276-1292. [DOI]
Van de Schoot, R., Yerkes, M., & Sonneveld, H. (2012). The employment status of doctoral recipients: An exploratory study in the Netherlands. International Journal of Doctoral Studies, 7, 331-348. [DOI]
Romeijn, J. W., Van de Schoot, R., & Hoijtink, H. J. A. (2012). One size does not fit all: Proposal for a prior-adapted BIC. In D. Dieks, W. Gonzales, H. Hartmann, F. Stadler, T. Uebel, & M. Weber (Eds.), Probabilities, Laws, and Structures: The Philosophy of Science in a European Perspective (pp. 87-106). Springer.
Van de Schoot, R., Hoijtink, H. J. A., Hallquist, M. N., & Boelen, P. A. (2012). Bayesian Evaluation of inequality-constrained Hypotheses in SEM Models using Mplus. Structural Equation Modeling, 19(4), 593-609. [DOI]
Sala, M. N., Molina, P., Abler, B., Kessler, H., Vanbrabant, L. G. F., & Van de Schoot, R. (2012). Measurement invariance of the Emotion Regulation Questionnaire (ERQ): A cross-national validity study. European Journal of Developmental Psychology, 9(6), 751-757. [DOI]
Meeus, W. H. J., Van de Schoot, R., Keijsers, L., & Branje, S. J. T. (2012). Identity statuses as developmental trajectories: A five-wave longitudinal study in early to middle and middle to late adolescents. Journal of Youth and Adolescence, 41(8), 1008-1021. [DOI] [Repository]
Mastrotheodoros, S., Dimitrova, R., Motti-Stefanidi, F., Abubakar Ali, A., & Van de Schoot, R. (2012). Measurement invariance of the Multigroup Ethnic Identity Measure (MEIM) across Bulgarian, Dutch and Greek samples. European Journal of Developmental Psychology, 9(4), 508-515. [DOI]
Kluytmans, A., Van de Schoot, R., Mulder, J., & Hoijtink, H. (2012). Illustrating Bayesian evaluation of informative hypotheses for regression models. Frontiers in Psychology, 3, Article 2. [DOI]
De Graaf, H., Van de Schoot, R., Hawk, S. T., Woertman, L., & Meeus, W. H. J. (2012). Family cohesion and Romantic and Sexual Initiation: A three wave longitudinal Study. Journal of Youth and Adolescence, 41(5), 583-592. [DOI]

Professional publications

Van de Schoot, R., Sonneveld, H., & Kroon, A. (2012). Mobiliteitsonderzoek Vernieuwingsimpuls-laureaten. Nederlands Centrum voor de Promotieopleiding IVLOS, Universiteit Utrecht. http://www.phdcentre.eu/nl/publicaties/documents/vandeSchootSonneveldKroon-MobiliteitsonderzoekVernieuwingsimpuls-laureaten-15-12-2011.pdf

2011

Scholarly publications

Stefanek, E., Strohmeier, D., van de Schoot, A. G. J., & Spiel, C. (2011). Bullying and Victimization in Ethnically Diverse Schools: Risk and Protective Factors on the Individual and Class level. International Journal of Developmental Science, 5(1-2), 73-84. [DOI]
Bakker, A., Van der Heijden, P. G. M., Van Son, M. J. M., Van de Schoot, R., & Van Loey, N. E. E. (2011). Impact of pediatric burn camps on participants' self esteem and body image: An empirical study. Burns, 37(8), 1317-1325. [DOI]
Van de Schoot, R., & Strohmeier, D. (2011). Testing informative hypotheses in SEM increases power: An illustration contrasting classical hypothesis testing with a parametric bootstrap approach. International Journal of Behavioral Development, 35(2), 180-190. [DOI]
Van de Schoot, R., & Meeus, W. H. J. (2011). How to move beyond classical null hypothesis testing: A black bear story. In Proceedings of the 15th European Conference on Developmental Psychology: 23-27 August (pp. 9-16)
van Zuiden, M., Heijnen, C. J., Van de Schoot, R., Amarouchi, K., Maas, M. C. T., Vermetten, E., Geuze, E., & Kavelaars, A. (2011). Cytokine Production by Leukocytes of Military Personnel with Depressive Symptoms after Deployment to a Combat-Zone: A Prospective, Longitudinal Study. PLoS One, 6(12), Article e29142. [DOI]
Stefanek, E., Strohmeier, D., Van de Schoot, R., & Spiel, C. (2011). Bully-victim behaviour in ethnically diverse classrooms: risk and protective factors on the individual and the class room level. International Journal of Developmental Science, 5, 73-84.
Meeus, W. H. J., Van de Schoot, R., Klimstra, T., & Branje, S. J. T. (2011). Personality Types in Adolescence: Change and stability and Links With Adjustment and Relationships: A Five-Wave Longitudinal Study. Developmental Psychology, 47(4), 1181-1195. [DOI]
Van de Schoot, R., Hoijtink, H. J. A., Mulder, J., van Aken, M. A. G., Orobio de Castro, B., Meeus, W. H. J., & Romeijn, J. W. (2011). Evaluating expectations about negative emotional states of aggresive boys using bayesian model selection. Developmental Psychology, 47(1), 203-212. [DOI] [Repository]
Doosje, S., De Goede, M. P. M., Van Doornen, L. J. P., & Van de Schoot, R. (2011). The associations of humorous coping styles, affective states, job demands and job control with the frequency of upper respiratory tract infection. South African Journal of Industrial Psychology, 37(2), Article 863. [DOI] [Repository]
Van de Schoot, R., Mulder, J., Hoijtink, H. J. A., van Aken, M. A. G., Dubas, J. S., Orobio de Castro, B., Meeus, W. H. J., & Romeijn, J. (2011). An introduction to Bayesian model selection for evaluating informative hypotheses. European Journal of Developmental Psychology, 8(6), 713-729. [DOI] [Repository]
Schouten, A., Knipscheer, J., Van de Schoot, R., & Woertman, L. (2011). Islamitisch en homoseksueel in Nederland – een dubbele psychische belasting? Psychologie & Gezondheid, 39(3), 138-144. [DOI] [Repository]
Van de Schoot, R., Hoijtink, H., & Romeijn, J. W. (2011). Moving beyond traditional null hypothesis testing: evaluating expectations directly. Frontiers in Psychology, 2, Article 24. [DOI]
Van de Schoot, R. (2011). Rechtstreeks verwachtingen evalueren of de nul-hypothese toetsen? STAtOR, (2), 22-24. [DOI]

Professional publications

Van de Schoot, R., Sonneveld, H., & Lockhorst, D. (2011). Het lot van promotieprojecten: Rendement van MAGW/NWO-subsidies. De Psycholoog, 4, 10-18. http://www.phdcentre.eu/nl/publicaties/documents/RendementvanMAGW_NWO-Subsidiesapril2011DePsycholoog.pdf
Sonneveld, H., Hello, E., & Van de Schoot, R. (2011). Promovendimonitor 2011: Promovendi van de Universiteit Utrecht en hun oordeel over opleiding, begeleiding en onderzoeksfaciliteiten. Centrum voor Onderwijs en Leren/Expertisecentrum Graduate Schools Universiteit Utrecht. http://www.phdcentre.eu/nl/publicaties/index.html

Other output

Meeus, W. H. J., Van de Schoot, R., Keijsers, L., Schwartz, S., & Branje, S. J. T. (2011). Progression and stability of adolescent identity formation: A five-wave longitudinal study in early-to-middle and middle-to-late adolescence. 59. Abstract from Unknown event.

2010

Scholarly publications

Van de Schoot, R., van der Velden, F., Boom, J., & Brugman, D. (2010). Can at-risk young adolescents be popular and anti-social? Sociometric status groups, anti-social behavior, gender and ethnic background. Journal of Adolescence, 33(5), 583-592. [DOI]
Van de Schoot, R. (2010). Informative hypotheses: How to move beyond classical null hypothesis testing. [Doctoral thesis 1 (Research UU / Graduation UU), Utrecht University]. Utrecht University. [Repository]
Meeus, W. H. J., Van de Schoot, R., Keijsers, L., Schwartz, S., & Branje, S. J. T. (2010). On the Progression and Stability of Adolescent Identity Formation: A Five-Wave Longitudinal Study in Early-to-Middle and Middle-to-Late Adolescence. Child Development, 81(5), 1565-1581. [DOI]
Boelen, P. A., Van de Schoot, R., Van den Hout, M. A., de Keijser, J., & Van den Bout, J. (2010). Prolonged grief disorder, depression, and posttraumatic stress-disorder and distinguishable syndromes. Journal of Affective Disorders, 125(1-3), 374-378. [DOI]
Van de Schoot, R., Hoijtink, H. J. A., & Dekovic, M. (2010). Testing inequality constrained hypotheses in SEM Models. Structural Equation Modeling, 17(3), 443-463. [DOI]

Professional publications

Sonneveld, J. F. M., Yerkes, M., & Van de Schoot, R. (2010). Ph.D. Trajectories and Labour Market Mobility: A survey of recent doctoral recipients at four universities in the Netherlands. Nederlands Centrum voor de Promotieopleiding / IVLOS. http://www.phdcentre.eu/nl/publicaties/documents/Ph.D.LabourmarketFinal4112010.pdf

Other output

Sijbrandij, E. M., Mouthaan, J., Olff, M., Gersons, B., Van de Schoot, R., & Engelhard, I. M. (2010). PTSD and co-occurring presentations: Alcohol use trajectories after traumatic injury.. Presented at annual meeting of the ISTSS, Montreal, Canada.

2009

Scholarly publications

Mulder, J., Klugkist, I. G., Van de Schoot, R., Meeus, W. H. J., van Zalk, M. H. W., & Hoijtink, H. J. A. (2009). Bayesian model selection of informative hypotheses for repeated measurements. Journal of Mathematical Psychology, 53(6), 530-546. [DOI]

Professional publications

Van de Schoot, R., Hoijtink, H. J. A., & Doosje, S. (2009). Rechtstreeks verwachtingen evalueren of de nulhypothese toetsen? Nulhypothesetoetsing versus Bayesiaanse modelselectie. De Psycholoog, 4, 196-203. https://rensvandeschoot.files.wordpress.com/2013/10/van-de-schoot-hoijtink-doosje-2009-de-psycholoog.pdf [Repository]

2008

Scholarly publications

van de Schoot, A. G. J. (2008). A philosopher's view on Bayesian evaluation of informative hypotheses. In H. Hoijtink, I. Klugkist, & P. Boelen (Eds.), Bayesian evaluation of informative hypotheses (pp. 329-358). Springer.

Other output

van de Schoot, A. G. J., & Hoijtink, H. J. A. (2008, Aug). Tutorial For Inequality Constrained Latent Class Modeling (LCM version 1.0). http://informative-hypotheses.sites.uu.nl/wp-content/uploads/sites/23/2015/04/tutorial_v04.pdf