Wolfgang Viechtbauer

Below, you can find PDFs of a selection of my publications, with focus on journal articles and book chapters related to my more methodological/statistical research, especially with respect to meta-analysis and mixed-effects models in general.

Viechtbauer, W., Lopez-Lopez, J. A., Sanchez-Meca, J., & Marin-Martinez, F. (in press). A comparison of procedures to test for moderators in mixed-effects meta-regression models. Psychological Methods.

Crutzen, R., Viechtbauer, W., Spigt, M., & Kotz, D. (2015). Differential attrition in health behaviour change trials: A systematic review and meta-analysis. Psychology and Health, 30(1), 122-134.

Jackson, D., Turner, R., Rhodes, K., & Viechtbauer, W. (2014). Methods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models. BMC Medical Research Methodology, 14(103).

López-López, J. A., Marín-Martínez, F., Sánchez-Meca, J., Van den Noortgate, W., & Viechtbauer, W. (2014). Estimation of the predictive power of the model in mixed-effects meta-regression: A simulation study. British Journal of Mathematical and Statistical Psychology, 67(1), 30-48.

Crutzen, R., Viechtbauer, W., Kotz, D., & Spigt, M. (2013). No differential attrition was found in randomized controlled trials published in general medical journals: A meta-analysis. Journal of Clinical Epidemiology, 66(9), 948-954.

Viechtbauer, W. (2010). Meta-analyse. In H. Holling & B. Schmitz (Eds.), Handbuch Statistik, Methoden und Evaluation (pp. 743-756). Göttingen, Germany: Hogrefe.

Viechtbauer, W. (2010). Learning from the past: Refining the way we study treatments. Journal of Clinical Epidemiology, 63(9), 980-982.

Viechtbauer, W., & Cheung, M. W.-L. (2010). Outlier and influence diagnostics for meta-analysis. Research Synthesis Methods, 1(2), 112-125.

Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1-48. URL: http://www.jstatsoft.org/v36/i03/.

van Amelsvoort, L. G. P. M., Viechtbauer, W., & Spigt, M. (2009). Spuriously precise results from meta-analysis: Is better statistical correction or a more critical methodological assessment warranted? Journal of Clinical Epidemiology, 62(2), 123-125.

Viechtbauer, W. (2008). Analysis of moderator effects in meta-analysis. In J. Osborne (Ed.), Best practices in quantitative methods (pp. 471-487). Thousand Oaks, CA: Sage.

Roberts, B. W., Kuncel, N. R., Viechtbauer, W., & Bogg, T. (2007). Meta-analysis in personality psychology: A primer. In R. W. Robins, R. C. Fraley, & R. F. Krueger (Eds.), Handbook of research methods in personality psychology (pp. 652-672). New York: Guilford Press.

Viechtbauer, W. (2007). Review of 'Publication bias in meta-analysis: Prevention, assessment and adjustment' by Hannah R. Rothstein, Alexander J. Sutton, and Michael Borenstein (Eds). Psychometrika, 72(2), 269-271.

Viechtbauer, W. (2007). Approximate confidence intervals for standardized effect sizes in the two-independent and two-dependent samples design. Journal of Educational and Behavioral Statistics, 32(1), 39-60.

Viechtbauer, W. (2007). Accounting for heterogeneity via random-effects models and moderator analyses in meta-analysis. Zeitschrift für Psychologie (Journal of Psychology), 215(2), 104-121.

Viechtbauer, W. (2007). Confidence intervals for the amount of heterogeneity in meta-analysis. Statistics in Medicine, 26(1), 37-52.

Viechtbauer, W. (2007). Hypothesis tests for population heterogeneity in meta-analysis. British Journal of Mathematical and Statistical Psychology, 60(1), 29-60.

Viechtbauer, W., & Budescu, D. (2005). A model selection approach to testing dependent ICCs. In F. Dansereau & F. Yammarino (Eds.), Multi-level issues in strategy and research methods: Vol. 4. Research in multi-level issues (pp. 433-454). Amsterdam: JAI Press/Elsevier.

Viechtbauer, W. (2005). Bias and efficiency of meta-analytic variance estimators in the random-effects model. Journal of Educational and Behavioral Statistics, 30(3), 261-293.