1. Tutorial Papers

Introducing Bayesian statistics:

  • Van de Schoot, R., Winter, S., Ryan, O., Zondervan-Zwijnenburg, M. & Depaoli, S. (2016). A Systematic Review of Bayesian Papers in Psychology: The Last 25 Years. Psychological Methods, 4(21). DOI: 10.1037/met0000100
    Pre-print  Additional information
  • Depaoli, Sarah, Van de Schoot, R. (2015). The WAMBS-Checklist: When to Worry, and how to Avoid the Misuse of Bayesian Statistics. Psychological Methods. Additional information
  • Depaoli, S., Rus, H. M., Clifton, J. P., Van de Schoot, R., & Tiemensma, J. (in press). An introduction to Bayesian statistics in health psychology. Health Psychology Review. Additional Information
  • van de Schoot, R. & Depaoli, S. (2014). Bayesian analyses: Where to start and what to report.  EHP, 16(2), 75-84. PDF
  • van de Schoot, R., Kaplan, D.,  Denissen, J.,  Asendorpf , J.B., Neyer, F.J. & van Aken, M.A.G. (2013). A Gentle Introduction to Bayesian Analysis: Applications to Developmental ResearchChild Development85 (3), 842–860.  PDF ADDITIONAL INFORMATION

Latent Growth (Mixture) Models:

Measurement Invariance:

  • Van De Schoot R, Schmidt P, De Beuckelaer A, Lek K and Zondervan-Zwijnenburg M (2015) Editorial: Measurement Invariance. Front. Psychol. 6:1064. doi: 10.3389/fpsyg.2015.01064
  • Van de Schoot, R., Lugtig, P., & Hox. J. (2012). A checklist for testing measurement invariance. European Journal of Developmental Psychology, 9, 486-492. doi: 10.1080/17405629.2012.686740 Supplementary materials
  • van de Schoot, R., Kluytmans, A., Tummers, L., Lugtig, P., Hox, J. & Muthén, B. (2013).  Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance. Frontiers in Psychology,  doi: 10.3389/fpsyg.2013.00770PDF ADDITIONAL INFORMATION

Missing data handling:

  • 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 Behaviroural Development, 38(5), 453–460. PDF
  • Peeters, Margot, Zondervan – Zwijnenburg, Mariëlle, Vink, Gerko & Van de Schoot, Rens (2015). How to handle missing data: A comparison of different approaches. European Journal of Developmental Psychology
    open acces

Multilevel Models:

  • Hox, J., van de Schoot. R., & Matthijsse, S. (2012). How few countries will do? Comparative survey analysis from a Bayesian perspective. Survey Research Methods, 6, 87-93. PDF
  • Hox, J., Van de Schoot, R. (2013). Robust Methods for Multilevel Models. In M.A. Scott, J.S. Simono and B.D. Marx (ed.). The SAGE Handbook of Multilevel Modeling. Sage. PDF

Informative Hypotheses:

  • Vanbrabant, L., Van de Schoot, R., Van Loey, N., & Rosseel, Y. (in press). A General procedure for Testing Inequality constrained Hypotheses in SEM. Methodology.
  • Vanbrabant L, Van De Schoot R and Rosseel Y (2015) Constrained statistical inference: sample-size tables for ANOVA and regression. Front. Psychol. 5:1565. doi: 10.3389/fpsyg.2014.01565
  • 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, 81-98, DOI:10.1080/17405629.2012.732719
  • Kluytmans, A., van de Schoot, R., Mulder, J. & Hoijtink,H. (2012). Illustrating Bayesian evaluation of informative hypotheses for regression models. Frontiers in Psychology 3:2. doi: 10.3389/fpsyg.2012.00002  PDF
  • Zondervan-Zwijnenburg, M.A.J., Van de Schoot, R., Johnson, A.R. Computing complexity for the Bayes Factor in inequality constrained hypotheses. PDF
  • Rens van de Schoot & Wim Meeus (2014). Various positions on testing Inequality constrained hypotheses for LTA results. PDF
  • Van de Schoot, R. (2011). Rechtstreeks verwachtingen evalueren of de nul hypothese    toetsen? [Directly evaluate expectations or testing the null hypothesis?]. Stator, 2, 22-24 PDF
  • Van de Schoot, R., Mulder, J., Hoijtink, H., van Aken, M.A.G. , Dubas, J.S., de Castro, B. O., Meeus, W. & Romeijn, J.-W. (2011). An introduction to Bayesian model selection for evaluating informative hypotheses. European Journal of Developmental Psychology, 8(6), 713–729. doi:10.1080/17405629.2011.621799.
  • Van de Schoot, R., Hoijtink, H., & Romeijn, J-W (2011). Moving beyond traditional null hypothesis testing: Evaluating expectations directly. Frontiers in Quantitative Psychology and Measurement, 2:24. doi: 10.3389/fpsyg.2011.00024. PDF
  • 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, 180-190.
  • Van de Schoot, R., Hoijtink, H., Mulder, J., Van Aken, M. A. G., Orobio de Castro, B., Meeus, W. & Romeijn, J.-W. (2011). Evaluating expectations about negative emotional states of aggressive boys using Bayesian model selection. Developmental Psychology, 47, 203-212.
  • Van de Schoot, R., Hoijtink, H. & Doosje, S. (2009). Rechtstreeks verwachtingen evalueren of de nul hypothese toetsen? Nul hypothese toetsing versus Bayesiaanse model selectie. [Directly evaluating expectations or testing the null hypothesis: Null hypothesis testing versus Bayesian model selection]. De Psycholoog 4, 196-203.
    PDF Data
  •  Romeijn, J. W. & Van de Schoot, R. (2008). A philosopher’s view on Bayesian evaluation of informative hypotheses. In H. Hoijtink, I. Klugkist, & P. Boelen (ed.). Bayesian evaluation of informative hypotheses (pp. 329-358). New-York: Springer.
  • Van de Schoot, R., & Hoijtink, H. (2008). Tutorial for inequality constrained latent class modeling (LCM version 1.0).



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