Statistik: mehr als Erbsen zählen

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Im Erscheinen

  • Rupp, C., Jürgens, C., Doebler, P., Andor, F. & Buhlmann, U. (to appear). A randomized waitlist-controlled trial comparing detached mindfulness and cognitive restructuring in obsessive-compulsive disorder. PLOS ONE.
  • Jürgens, C., Rupp, C., Doebler, P., Andor, F. & Buhlmann, U. (to appear). Metacognition in obsessive-compulsive disorder symptom dimensions: Role of fusion beliefs, beliefs about rituals and stop signals. Journal of Obsessive-Compulsive and Related Disorders.
  • Baghaei, P. & Doebler, P. (to appear). Introduction to the Rasch Poisson Counts Model: An R Tutorial. Psychological Reports. doi:10.1177/0033294118797577.
  • Nelson, J., Klumparendt, A., Doebler, P. & Ehring, T. (to appear). Everyday Emotional Dynamics in Major Depression. Emotion.
  • Hartung, J., Doebler, P., Schroeders, U. & Wilhelm, O. (to appear). Dedifferentiation and Differentiation of Intelligence in Adults Across Age and Years of Education. Intelligence.
  • Olderbak, S., Semmler, M. & Doebler, P. (to appear). Four-Branch Model of Ability Emotional Intelligence with Fluid and Crystallized Intelligence: A Meta-Analysis of Relations. Emotion Review.
  • Loe, B. S., Sun, L., Simonfy, F. & Doebler, P. (2018). Predicting Number Series Item Difficulty using Linear Logistic Test Models. Journal of Intelligence.
  • Forthmann, B., Wilken, A., Doebler, P. & Holling, H. (2019). Strategy induction enhances creativity in figural divergent thinking. Journal of Creative Behavior.


  • Bürkner, P.-C., Doebler, P. & Holling, H. (2017). Optimal design of the Wilcoxon-Mann-Whitney-test. Biometrical Journal, 59 (1), 25–40. doi:10.1002/bimj.201600022.
  • Königbauer, J., Letsch, J., Doebler, P., Ebert, D. & Baumeister, H. (2017). Internet-and Mobile-based Depression Interventions for People with Diagnosed Depression: A Systematic Review and Meta-analysis. Journal of Affective Disorders,223, 28–40. doi:10.1016/j.jad.2017.07.021.
  • Kröll, C., Doebler, P., & Nüesch, S. (2017). Meta-analytic evidence of the effectiveness of stress management at work. European Journal of Work and Organizational Psychology, 26, 677--693. [DOI]
  • Nelson, J., Klumparendt, A., Doebler, P. & Ehring, T. (2017). Childhood maltreatment and characteristics of adult depression: a meta-analysis. British Journal of Psychiatry. 210, 96104. [DOI]
  • Rupp, C., Doebler, P., Ehring, T. & Voßbeck-Elsebusch, A. (2017). Emotional Processing Theory put to test: A meta-analysis on the association between process and outcome measures in exposure therapy. Clinical Psychology & Psychotherapy, 24 (3), 697–711. doi:10.1002/cpp.2039.
  • Schwenk, C., Kuhn, J., Gühne, D., Doebler, P. & Holling, H. (2017). Auf Goldmünzenjagd: Psychometrische Kennwerte verschiedener Scoringansätze bei computergestützter Lernverlaufsdiagnostik im Bereich Mathematik. Empirische Sonderpädagogik, 2, 123–142.
  • Schwenk, C., Sasanguie, D., Kuhn, J.-T., Kempe, S., Doebler, P., & Holling, H. (2017). (Non-)symbolic magnitude processing in children with mathematical difficulties: a meta-analysis. Research in Developmental Disabilities.64, 152–167 [DOI]


  • Doebler, P. & Scheffler, B. (2016). The relationship of choice reaction time variability and intelligence: a meta-analysis. Learning and Individual Differences, 52, 157–166. [DOI]


  • Alavash, M., Doebler, P., Holling, H., Thiel, C. & Giessing, C. (2015). Is functional integration of resting state brain networks an unspecific biomarker for working memory performance? NeuroImage, 108, 182–193. [DOI]
  • Biehler, M., Holling, H. & Doebler, P. (2015). Saddlepoint approximations of the distribution of the person parameter in the two parameter logistic model. Psychometrika, 80, 665–688. [DOI]
  • Doebler, P., Alavash, M. & Giessing, C. (2015). Adaptive experiments with a multi-variate Elo-type algorithm. Behavior Research Methods, 47 (2), 384–394. [DOI]
  • Doebler, P. & Holling, H. (2015). Meta-analysis of diagnostic accuracy and ROC curves with covariate adjusted semiparametric mixtures. Psychometrika, 80, 1084–1104. [DOI]


  • Bürkner, P. C. & Doebler, P. (2014). Testing for publication bias in diagnostic meta-analysis: a simulation study. Statistics in Medicine, 33, 3061–3077. [DOI]
  • Doebler, A., Doebler, P. & Holling, H. (2014). A latent ability model for count data and an application to processing speed. Applied Psychological Measurement, 38, 587–598. [DOI]


  • Doebler, A., Doebler, P. & Holling, H. (2013). Optimal and most exact confidence intervals for person parameters in item response theory models. Psychometrika, 78 (1), 98–115. [DOI]
  • Doebler, P. (2013). Rado’s conjecture implies that all stationary set preserving forcings are semiproper. Journal of Mathematical Logic, 13 (1), 8 pages. [DOI]
  • Doebler, P. & Schindler, R. (2013). The extender algebra and vagaries of Σ2 absoluteness. Münster Journal of Mathematics, 6 (1), 117–166.


  • Doebler, P., Holling, H. & Böhning, D. (2012). A mixed model approach to meta-analysis of diagnostic studies with binary test outcome. Psychological Methods, 17 (3), 418–436. [DOI]


  • Doebler, P. & Schindler, R. (2009). Π2 consequences of BMM + NSω1 is precipitous and the semiproperness of stationary set preserving forcings. Mathematical Research Letters, 16 (5), 797–815.