Publications

Free Access and Open Access Articles

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Beblo, T., Pelster, S., Schilling, C., Kleinke, K., Iffland, B., Driessen, M., & Fernando, S. (2018). Breath versus emotions: The impact of different foci of attention during mindfulness meditation on the experience of negative and positive emotions. Behavior Therapy, 49(5), 702–714. https://doi.org/10.1016/j.beth.2017.12.006
Bürgler, S., Kleinke, K., & Hennecke, M. (2022). The metacognition in self-control scale (MISCS). Personality and Individual Differences, 199, Article 111841. https://doi.org/10.1016/j.paid.2022.111841
de Haan, A., Kleinke, K., Degen, E., & Landolt, M. A. (2024). Longitudinal relationship between posttraumatic cognitions and internalising symptoms in children and adolescents. European Journal of Psychotraumatology, 15(1), Article 2398357. https://doi.org/10.1080/20008066.2024.2398357
de Haan, A., Landolt, M. A., Fried, E. I., Kleinke, K., Alisic, E., Bryant, R., Salmon, K., Chen, S.-H., Liu, S.-T., Dalgleish, T., McKinnon, A., Alberici, A., Claxton, J., Diehle, J., Lindauer, R., Roos, C. de, Halligan, S. L., Hiller, R., Kristensen, C. H., … Meiser-Stedman, R. (2020). Dysfunctional posttraumatic cognitions, posttraumatic stress and depression in children and adolescents exposed to trauma: A network analysis. Journal of Child Psychology and Psychiatry, 61(1), 77–87. https://doi.org/10.1111/jcpp.13101
Exner, A., Kampa, M., Finke, J. B., Stalder, T., Klapperich, H., Hassenzahl, M., Kleinke, K., & Klucken, T. (2023). Repressive and vigilant coping styles in stress and relaxation: Evidence for physiological and subjective differences at baseline, but not for differential stress or relaxation responses. Frontiers in Psychology, 14, Article 1196481. https://doi.org/10.3389/fpsyg.2023.1196481
Forstmeier, S., Zimmermann, S., van der Hal, E., Auerbach, M., Kleinke, K., Maercker, A., & Brom, D. (2023). Effect of life review therapy for holocaust survivors: A randomized controlled trial. Journal of Traumatic Stress, 36(3), 628–641. https://doi.org/10.1002/jts.22933
Kaiser, F., Oberwittler, D., Thielmann, I., Kleinke, K., & Greifer, N. (2024). When does criminal victimization undermine generalized trust? A weighted panel analysis of the effects of crime type, frequency, and variety. Social Science Research, 124, Article 103086. https://doi.org/10.1016/j.ssresearch.2024.103086
Kiendl, K., Wenzel, M., Kleinke, K., & Hennecke, M. (2024). Conscientiousness, trait self-control, and neuroticism predict individual differences in the variability of goal dimensions. European Journal of Personality, Article 08902070241295321. https://doi.org/10.1177/08902070241295321
Kleinke, K. (2017). Multiple imputation under violated distributional assumptions – a systematic evaluation of the assumed robustness of predictive mean matching. Journal of Educational and Behavioral Statistics, 42(4), 371–404. https://doi.org/10.3102/1076998616687084
Kleinke, K. (2018). Multiple imputation by predictive mean matching when sample size is small. Methodology, 14(1), 3–15. https://doi.org/10.1027/1614-2241/a000141
Kleinke, K. (2021). Estimation of partially observed non-linear terms in a multilevel model: An evaluation of the robustness of ad hoc and state-of-the-art missing data methods. Psychological Test and Assessment Modeling, 63(3), 432–455. https://www.psychologie-aktuell.com/fileadmin/Redaktion/Journale/ptam-2021-3/PTAM__3-2021_6_kor.pdf
Kleinke, K., Fritsch, M., Stemmler, M., & Lösel, F. (2024). Multiple imputation of longitudinal data – a comparison of robust imputation methods regarding sample size requirements, with an application to corporal punishment data. In M. Stemmler, W. Wiedermann, & F. Huang (Eds.), Dependent data in social sciecnes research – forms, issues and methods of analysis (second edition) (pp. 565–588). Springer Nature. https://doi.org/10.1007/978-3-031-56318-8_23
Kleinke, K., Fritsch, M., Stemmler, M., Reinecke, J., & Lösel, F. (2021). Quantile regression-based multiple imputation of missing values – an evaluation and application to corporal punishment data. Methodology, 17(3), 205–230. https://doi.org/https://doi.org/10.5964/meth.2317
Kleinke, K., Jong, R. de, Spiess, M., & Reinecke, J. (2011). Multiple imputation of incomplete ordinary and overdispersed count data [Technical Report]. University of Bielefeld, Faculty of Sociology. https://kkleinke.de/static/pdf/2011_technical.pdf
Kleinke, K., & Reinecke, J. (2013a). countimp 1.0 – A multiple imputation package for incomplete count data (Technical Report 01-2013). University of Bielefeld, Faculty of Sociology. https://doi.org/10.13140/RG.2.1.3889.3286
Kleinke, K., & Reinecke, J. (2013b). Multiple imputation of incomplete zero-inflated count data. Statistica Neerlandica, 67(3), 311–336. https://doi.org/10.1111/stan.12009
Kleinke, K., & Reinecke, J. (2014). Multiple imputation of zero-inflated and overdispersed multilevel count data [Technical Report]. University of Bielefeld, Faculty of Sociology & Centre for Statistics. https://kkleinke.de/static/pdf/2014_technical.pdf
Kleinke, K., & Reinecke, J. (2015a). Multiple imputation of multilevel count data. In U. Engel, B. Jann, P. Lynn, A. Scherpenzeel, & P. Sturgis (Eds.), Improving Survey Methods: Lessons from Recent Research (pp. 381–396). Routledge, Taylor & Francis.
Kleinke, K., & Reinecke, J. (2015b). Multiple imputation of overdispersed multilevel count data. In U. Engel (Ed.), Survey Measurements. Techniques, Data Quality and Sources of Error (pp. 209–226). Campus/The University of Chicago Press.
Kleinke, K., & Reinecke, J. (2019). Countimp version 2 – A multiple imputation package for incomplete count data [Technical Report]. University of Siegen, Department of Education Studies; Psychology. https://kkleinke.de/countimp
Kleinke, K., & Reinecke, J. (2022). How to and how not to impute incomplete count data. In A. Hernández & I. Tomás (Eds.), Proceedings from the 9th European Congress of Methodology (pp. 86–92). Universitat de València. https://doi.org/10.7203/PUV-OA-438-5
Kleinke, K., & Reinecke, J. (2024). Multiple imputation of incomplete panel data based on a piecewise growth curve model – an evaluation and application to juvenile delinquency data. In M. Stemmler, W. Wiedermann, & F. Huang (Eds.), Dependent data in social sciecnes research – forms, issues and methods of analysis (second edition) (pp. 589–615). Springer Nature. https://doi.org/10.1007/978-3-031-56318-8_24
Kleinke, K., Reinecke, J., Salfrán, D., & Spiess, M. (2020). Applied multiple imputation. Advantages, pitfalls, new developments and applications in R. Springer Nature.
Kleinke, K., Reinecke, J., & Weins, C. (2021). The development of delinquency during adolescence: A comparison of missing data techniques revisited. Quality & Quantity, 55(3), 877–895. https://doi.org/10.1007/s11135-020-01030-5
Kleinke, K., Schlüter, E., & Christ, O. (2017). Strukturgleichungsmodelle mit Mplus: Eine praktische Einführung (2. Aufl.). de Gruyter.
Kleinke, K., Stemmler, M., Reinecke, J., & Lösel, F. (2011). Efficient ways to impute incomplete panel data. Advances in Statistical Analysis, 95, 351–373. https://doi.org/10.1007/s10182-011-0179-9
Machulska, A., Eiler, T. J., Haßler, B., Kleinke, K., Brück, R., Jahn, K., Niehaves, B., & Klucken, T. (2023). Mobile phone-based approach bias retraining for smokers seeking abstinence: A randomized-controlled study. International Journal of Mental Health and Addiction, 1–22. https://doi.org/10.1007/s11469-023-01107-w
Machulska, A., Eiler, T. J., Kleinke, K., Grünewald, A., Brück, R., Jahn, K., Niehaves, B., & Klucken, T. (2021). Approach bias retraining through virtual reality in smokers willing to quit smoking: A randomized-controlled study. Behaviour Research and Therapy, 141, Article 103858. https://doi.org/10.1016/j.brat.2021.103858
Machulska, A., Kleinke, K., Eiler, T. J., Grünewald, A., Brück, R., Jahn, K., Niehaves, B., Gethmann, C. F., & Klucken, T. (2019). Retraining automatic action tendencies for smoking using mobile phone-based approach-avoidance bias training: A study protocol for a randomized controlled study. Trials, 20, Article 720. https://doi.org/10.1186/s13063-019-3835-0
Machulska, A., Kleinke, K., & Klucken, T. (2023). Same same, but different: A psychometric examination of three frequently used experimental tasks for cognitive bias assessment in a sample of healthy young adults. Behavior Research Methods, 55(3), 1332–1351. https://doi.org/10.3758/s13428-022-01804-9
Machulska, A., Rinck, M., Klucken, T., Kleinke, K., Wunder, J.-C., Remeniuk, O., & Margraf, J. (2022). ’Push it!’ or ’hold it!’? A comparison of nicotine-avoidance training and nicotine-inhibition training in smokers motivated to quit. Psychopharmacology, 239, 105–121. https://doi.org/10.1007/s00213-021-06058-5
Spiess, M., Kleinke, K., & Reinecke, J. (2021). Proper multiple imputation of clustered or panel data. In P. Lynn (Ed.), Advances in longitudinal survey methodology (pp. 424–446). John Wiley & Sons.