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Publikationen

 2017 - 2016 - 2015 - 2014 - 2013 und davor

  • Königbauer, J., Letsch, J., Doebler, P., Ebert, D., & Baumeister, H. (accepted). Internet- and mobile-based depression interventions for people with diagnosed depression: a systematic review and meta-analysis. Journal of Affective Disorders.
  • Bürkner, P.-C., Doebler, P. & Holling, H. (accepted). Optimal design of the Wilcoxon-Mann-Whitney-test. Biometrical Journal.
  • Rupp, C., Doebler, P., Ehring, T. & Voßbeck-Elsebusch, A. (accepted). Emotional processing theory put to test: a meta-analysis on the association between process and outcome measures in exposure therapy. Clinical Psychology & Psychotherapy.
  • Forthmann, B., Wilken, A., Doebler, P. & Holling, H. (accepted). Strategy induction enhances creativity in figural divergent thinking. Journal of Creative Behavior.

 

2017

  • 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]
  • 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]

2016

  • 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]

2015

  • 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]

2014

  • 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]

2013

  • 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.

2012

  • 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]

2009

  • 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.