Stadler, M., Doebler, P., Mertins, B. & Delucchi Danhier, R. (accepted). Statistical Modeling of Dynamic Eye Tracking Experiments: Relative Importance of Visual Stimulus Elements for Gaze Behavior in the Multi-Group Case. Behavior Research Methods. doi.org/10.3758/s13428-021-01576-8.
Welz, T., Doebler, P. & Pauly, M. (accepted). Fisher transformation based Confidence Intervals of Correlations in Fixed- and Random-Effects Meta-Analysis. British Journal of Mathematical and Statistical Psychology. doi.org/10.1111/bmsp.12242.
Doebler, A. & Doebler, P. (online first). Rotate and Project: Measurement of the Intended Concept with Unidimensional Item Response Theory from Multidimensional Ordinal Items. Multivariate Behavioral Research, 17 pages. doi.org/10.1080/00273171.2020.1794776.
Gühne, D., Condon, D. M., Luo, F., Sun, L. & Doebler, P. (online first). Validity and reliability of automatically generated propositional reasoning items: A multilingual study of the challenges of verbal item generation. European Journal of Psychological Assessment. doi.org/10.1027/1015-5759/a000616.
Dworak, E. M., Revelle, W., Doebler, P. & Condon, D. M. (accepted). Using the International Cognitive Ability Resource as an open source tool to explore individual differences in cognitive ability. Personality and Individual Differences.
Interests, Motives and Psychological Burdens in Times of Crisis and Lockdown: Google Trends as Information Source for Policy Makers. (accepted). Journal of Medical Internet Research. doi.org/10.2196/26385.
Preprint
Doebler, P., Doebler, A., Buczak, P., & Groll, A. (2020). Interactions of Genetic and Environment Scores: Alternating Lasso Regularization Avoids Overfitting and Finds Interpretable Scores. doi.org/10.31234/osf.io/7k8xz
2021
Forthmann, B. & Doebler, P. (2021). Reliability of Researcher Capacity Estimates and Count Data Dispersion: A Comparison of Poisson, Negative Binomial, and Conway-Maxwell Poisson Models. Scientometrics, 126, 3337–3354. doi.org/10.1007/s11192-021-03864-8.
DeVries, J. M., Szardenings, C., Doebler, P. & Gebhardt, M. (2021). Subject-Specific Self-Concept and Global Self-Esteem Mediate Risk Factors for Lower Competency in Mathematics and Reading. Social Sciences, 10(1), 11p. doi.org/10.3390/socsci10010011.
Olderbak, S., Riggenmann, O., Wilhelm, O., & Doebler, P. (2021). Reliability generalization of tasks and recommendations for assessing the ability to perceive facial expressions of emotion. Psychological Assessment. Advance online publication. https://doi.org/10.1037/pas0001030
2020
Forthmann, B., Gühne, D. & Doebler, P. (2020). Revisiting Dispersion in Count Data Item Response Theory Models: The Conway-Maxwell-Poisson Counts Model. British Journal of Mathematical and Statistical Psychology, 73(S1), 32–50. doi.org/10.1111/bmsp.12184.
Beisemann, M., Doebler, P. & Holling, H. (2020). Comparison of random-effects metaanalysis models for the relative risk in the case of rare events: A simulation study. Biometrical Journal, 62(7), 1597–1630. doi.org/10.1002/bimj.201900379.
Beisemann, M.,Wartlick, O. & Doebler, P. (2020). Comparison of Recent Acceleration Techniques for the EM algorithm in One-and Two-Parameter Logistic IRT models. Psych, 2(4), 209–252.
Ravand, H., Baghaei, P. & Doebler, P. (2020). Examining Parameter Invariance in a General Diagnostic Classification Model. Frontiers in Psychology, 10, 10 p. doi.org/10.3389/fpsyg.2019.02930.
Büscher, R., Beisemann, M., Doebler, P., Steubl, L., Domhardt, M., Cuijpers, P., Kerkhof, A. & Sander, L. B. (2020). Effectiveness of Internet- and Mobile-Based Cognitive Behavioral Therapy to Reduce Suicidal Ideation and Behaviours: Protocol for a Systematic Review and Meta-Analysis of Individual Participant Data. International Journal of Environmental Research and Public Health, 17(14), 11p. doi.org/10.3390/ijerph17145179.
Domhardt, M., Letsch, J., Kybelka, J., Königsbauer, J., Doebler, P. & Baumeister, H. (2020). Are Internet- and mobile-based interventions effective in adults with diagnosed panic disorder and/or agoraphobia? A systematic review and meta-analysis. Journal of Affective Disorders, 276, 169–182. doi.org/10.1016/j.jad.2020.06.059.
DeVries, J. M., Szardenings, C., Doebler, P. & Gebhardt, M. (2020). Individualized Assignments, Group Work and Discussions: How They InteractWith Class Size, Low Socioeconomic Status, and Second Language Learners. Frontiers in Education, 5(65), 13p. doi.org/10.3389/feduc.2020.00065.
Forthmann, B., Grothjahn, R., Doebler, P. & Baghaei, P. (2020). A Comparison of Different Item Response Theory Models for Scaling Speeded C-Tests. Journal of Psychoeducational Assessment, 38. doi.org/10.1177/0734282919889262.
Rupp, C., Gühne, D., Falke, C., Doebler, P., Andor, F. & Buhlmann, U. (2020). Comparing effects of detached mindfulness and cognitive restructuring in obsessivecompulsive disorder using ecological momentary assessment. Clinical Psychology & Psychotherapy, 27, 193–202. doi.org/10.1002/cpp.2418.
Nelson, J., Klumparendt, A., Doebler, P. & Ehring, T. (2020). Everyday Emotional Dynamics in Major Depression. Emotion, 20(2), 179–191. doi.org/10.1037/emo0000541.
2019
Baghaei, P. & Doebler, P. (2019). Introduction to the Rasch Poisson Counts Model: An R Tutorial. Psychological Reports, 122(5). doi.org/10.1177/0033294118797577.
Rupp, C., Jürgens, C., G¨uhne, D., Doebler, P., Andor, F. & Buhlmann, U. (2019). A study on treatment sensitivity of ecological momentary assessment in obsessive-compulsive disorder. ClinicalPsychology&Psychotherapy, 26, 695– 706. doi.org/10.1002/cpp.2392.
Rupp, C., Jürgens, C., Doebler, P., Andor, F. & Buhlmann, U. (2019). A randomized waitlist-controlled trial comparing detached mindfulness and cognitive restructuring in obsessive-compulsive disorder. PLoS ONE, 14(3), e0213895. doi.org/10.1371/journal.pone.0213895.
Jürgens,C.,Rupp,C.,Doebler,P.,Andor,F.&Buhlmann,U.(2019).Metacognitionin obsessive-compulsive disorder symptom dimensions: Role of fusion beliefs, beliefs about rituals and stop signals. Journal of Obsessive-Compulsive and Related Disorders, 21, 102–111. doi.org/10.1016/j.jocrd.2019.03.002.
Olderbak, S., Semmler, M. & Doebler, P. (2019). Four-Branch Model of Ability Emotional Intelligence with Fluidand Crystallized Intelligence:AMeta-Analysis of Relations. Emotion Review, 11(2), 166–183. doi.org/10.1177/1754073918776776.
Forthmann, B., Wilken, A., Doebler, P. & Holling, H. (2019). Strategy Induction Enhances Creativity in Figural Divergent Thinking. Journal of Creative Behavior, 53(1), 18–29. doi.org/10.1002/jocb.159.
Doebler, P., Brunn, G. & Freise, F. (2019). Das Unnmessbare messen: Statistik, Intelligenz und Bildung. In W. Krämer & C. Weihs (Hrsg.), Faszination Statistik (S. 170–176). Berlin, Springer.
2018
Hartung, J., Doebler, P., Schroeders, U. & Wilhelm, O. (2018). Dedifferentiation and Differentiation of Intelligence in Adults Across Age and Years of Education. Intelligence, 69, 37–49. doi.org/10.1016/j.intell.2018.04.003.
Loe, B. S., Sun, L., Simonfy, F. & Doebler, P. (2018). Evaluating an Automated Number Series Item Generator Using Linear Logistic Test Models. Journal of Intelligence, 6(20), 25p. doi.org/doi:10.3390/jintelligence6020020.
Doebler, P., Bürkner, P.-C. & R¨ucker, G. (2018). Statistical Packages for Diagnostic Meta-Analysis and Their Application. In DiagnosticMeta-Analysis: A Useful Tool for Clinical Decision-Making (S. 161–181). New York, Springer.
2017
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, 96–104. [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]
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.
