PUB - Publikationen an der Universität Bielefeld

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• [12]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2931508

  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. doi:10.1016/j.beth.2017.12.006

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [11]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2920361

  Kleinke, K. (2018). Multiple Imputation by Predictive Mean Matching When Sample Size Is Small. METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES, 14(1), 3-15. doi:10.1027/1614-2241/a000141

  PUB | DOI | WoS
   
• [10]
  

  2017 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2909160

  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. doi:10.3102/1076998616687084

  PUB | DOI | WoS
   
• [9]
  

  2015 | Report | PUB-ID: 2909620

  Kleinke, K. (2015). Can we have both simplicity and quality? - A systematic evaluation of the assumed robustness of normal model multiple imputation. University of Hagen, Insitute of Psychology. doi:10.13140/RG.2.1.2751.7041

  PUB | DOI
   
• [8]
  

  2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2909163

  Kleinke, K., & Reinecke, J. (2015). Multiple imputation of overdispersed multilevel count data. In U. Engel (Ed.), Survey Measurements. Techniques, Data Quality and Sources of Error (p. 209–226). Frankfurt a. M.: Campus/The University of Chicago Press.

  PUB
   
• [7]
  

  2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2909161

  Kleinke, K., & Reinecke, J. (2015). 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 (p. 381–396). New York: Routledge, Taylor & Francis Group.

  PUB
   
• [6]
  

  2014 | Report | PUB-ID: 2909621

  Kleinke, K., & Reinecke, J. (2014). Multiple Imputation of Zero-Inflated and Overdispersed Multilevel Count Data. University of Bielefeld, Faculty of Sociology and Centre for Statistics. doi:10.13140/RG.2.1.1566.9361

  PUB | DOI
   
• [5]
  

  2013 | Report | PUB-ID: 2604098

  Kleinke, K., & Reinecke, J. (2013). countimp 1.0 - A multiple imputation package for incomplete count data (technical report). Bielefeld: University of Bielefeld, Faculty of Sociology. doi:10.13140/RG.2.1.3889.3286

  PUB | DOI | Download (ext.)
   
• [4]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2604566

  Kleinke, K., & Reinecke, J. (2013). Multiple imputation of incomplete zero-inflated count data. Statistica Neerlandica, 67(3), 311-336. doi:10.1111/stan.12009

  PUB | DOI | WoS
   
• [3]
  

  2013 | Dissertation | PUB-ID: 2665356

  Kleinke, K. (2013). Efficient multiple imputation of complex data structures (like multilevel data, zero-inflated count data and multilevel count data). Bielefeld.

  PUB
   
• [2]
  

  2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2464350

  Kleinke, K., Stemmler, M., Reinecke, J., & Lösel, F. (2011). Efficient ways to impute incomplete panel data. Advances in Statistical Analysis, 95(4), 351-373. doi:10.1007/s10182-011-0179-9

  PUB | DOI | WoS
   
• [1]
  

  2011 | Report | PUB-ID: 2622022

  Kleinke, K., de Jong, R., Spiess, M., & Reinecke, J. (2011). Multiple imputation of incomplete ordinary and overdispersed count data.

  PUB | PDF | Download (ext.)