Dr. Kristian Kleinke
Kristian Kleinke

Kristian Kleinke

senior lecturer for psychological methods (tenured)

University of Siegen

Biography

I am a psychologist and licensed psychotherapist (behavior therapy) employed with the University of Siegen, Germany, and also the guy responsible for teaching statics in our BSc and MSc psychology programs. I happend upon missing data when I embarked on my diploma thesis in 2006 (well, who didn’t?) and got ensnarled in this fascinating topic ever since. My methodological research interests today (still) include missing data and multiple imputation, as well as robust multiple imputation procedures that can be applied, when parametric assumptions of standard imputation models are violated. I am furthermore interested in structural equation models for longitudinal data (mainly in latent growth curve models).

My non-methods related research focusses on – well it doesn’t really focus. I am interested in many different fields including criminology and various subdomains of clinical psychology. For an overview, see my publications. MI-related publications are listed here.

short CV

Interests
  • missing data
  • multiple imputation
  • structural equation modelling
Education

  • licensed psychotherapist (behavior therapy), 2021

    Landesamt für Soziales, Jugend und Versorgung, Rheinland-Pfalz, Germany

  • Dr. rer. nat., 2014

    Bielefeld University, Germany

  • Diplom in Psychology, 2008

    University of Erlangen-Nürnberg, Germany

  • BSocSc(Hons), 2008

    University of Waikato, New Zealand

MI

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Applied Multiple Imputation
Applied Multiple Imputation

My Missing Data Software

package countimp: Multiple imputation of incomplete count data

Description

Count data require special analysis and imputation techniques. countimp provides addon-functions to the popular multiple imputation package mice, and extends mice’s functionality. Imputation models include:

  • the standard Poisson model,
  • the quasi-poisson, and negative binomial model for overdispersed count data,
  • zero-inflation and hurdle models for count data with an excess of zero counts
  • multilevel versions of these models.

Download / Installation

  • countimp version 2 is available from github under the GPL-3 licence.
  • The latest version can be installed from GitHub using function install_github from package remotes:
# install.packages('remotes')
remotes::install_github('kkleinke/countimp')
  • If you find any bugs, please let me know.
  • countimp version 2 is described in detail (+ tutorials, examples) in Chapter 6 of our book.
  • The user’s guide with some applications and Monte Carlo Simulations is available from https://countimp.kleinke.io.

Previous versions

  • For more information about the old countimp 1, see this technical report. Note that countimp version 1 only works with mice version 2.35 or older.

Recent & Upcoming Talks

Robust multiple imputation based on quantile forests
Feb 9, 2023 3:00 PM Bielefeld, Germany
Multiple imputation of incomplete panel data based on a piecewise growth curve model
Feb 9, 2023 11:00 AM Bielefeld, Germany
Invited Talk / Seminar at Georgetown University, Washington DC
Nov 12, 2021 10:00 AM Online via Zoom
Multiple imputation of zero‐inflated longitudinal count data based on a piecewise growth curve model
Sep 16, 2021 12:00 AM Mannheim
How to and how not to impute incomplete count data
Paper will be published in the conference proceedings
Jul 21, 2021 12:00 AM Valencia, Spain
See all events

Textbooks

February 2020 Springer International Publishing, Springer Nature Switzerland AG
Applied Multiple Imputation. Advantages, Pitfalls, New Developments and Applications in R

Chapters Introduction and Basic Concepts pp 1-22 Missing Data Mechanism and Ignorability pp 23-52 Missing Data Methods pp 53-83 Multiple Imputation: Theory pp 85-131 Multiple Imputation: Application pp.
April 2017 München: Oldenbourg / DeGruyter
Strukturgleichungsmodelle mit Mplus - Eine praktische Einführung (2. Auflage)

Kleinke, K., Schlüter, E., & Christ, O. (2017). Strukturgleichungsmodelle mit Mplus – eine praktische Einführung (2. Auflage). München: Oldenbourg. Link zu DeGruyter / Oldenbourg

Featured Journal Articles

September 2023 International Journal of Mental Health and Addiction
Mobile phone‐based approach bias retraining for smokers seeking abstinence: a randomized‐controlled study
September 2023 Frontiers in Psychology
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
May 2023 Journal of Traumatic Stress
Effect of Life Review Therapy for Holocaust Survivors: A randomized controlled trial
July 2022 Personality and Individual Differences
The Metacognition in Self-Control Scale (MISCS)
June 2022 Behavior Research Methods
Same same, but different: A psychometric examination of three frequently used experimental tasks for cognitive bias assessment in a sample of healthy young adults
September 2021 Methodology, Vol. 17 No. 3 (2021)
Quantile regression based multiple imputation of missing data - An evaluation and application to corporal punishment data
September 2021 Psychological Test and Assessment Modeling, Volume 63 (3), 432-455
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
April 2018 Methodology, 14, 3-15
Multiple Imputation by Predictive Mean Matching When Sample Size Is Small
January 2017 Journal of Educational and Behavioral Statistics, 42(4), 371–404 MI
Multiple Imputation Under Violated Distributional Assumptions: A Systematic Evaluation of the Assumed Robustness of Predictive Mean Matching
May 2013 Statistica Neerlandica, 67(3), 311–336
Multiple imputation of incomplete zero‐inflated count data

Recent Publications

Alla Machulska, Mike Rinck, Tim Klucken, Kristian Kleinke, Jana‐Carina Wunder, Olga Remeniuk, Jürgen Margraf (2022). 'Push it!' or 'Hold it!?' A comparison of nicotine-avoidance training and nicotine-inhibition training in smokers motivated to quit. Psychopharmacology.

PDF DOI

Alla Machulska, Tanja Joan Eiler, Kristian Kleinke, Armin Grünewald, Rainer Brück, Katharina Jahn, Björn Niehaves, Tim Klucken (2021). Approach Bias Retraining through Virtual Reality in smokers willing to quit smoking: A randomized-controlled study. Behaviour Research and Therapy.

DOI

Kristian Kleinke, Jost Reinecke, Cornelia Weins (2020). The development of delinquency during adolescence: a comparison of missing data techniques revisited. Quality & Quantity.

PDF Project DOI

Alla Machulska, Kristian Kleinke, Tanja Joan Eiler, Armin Grünewald, Rainer Brück, Katharina Jahn, Björn Niehaves, Carl Friedrich Gethmann, Tim Klucken (2019). Retraining automatic action tendencies for smoking using mobile phone-based approach-avoidance bias training: A study protocol for a randomized controlled study. Trials volume 20, Article number: 720 (2019).

PDF DOI

Anke de Haan, Markus A. Landolt, Eiko I. Fried, Kristian Kleinke, Eva Alisic, Richard Bryant, Karen Salmon, Sue-Huei Chen, Shu-Tsen Liu, Tim Dalgleish, Anna McKinnon, Alice Alberici, Jade Claxton, Julia Diehle, Ramon Lindauer, Carlijn de Roos, Sarah L. Halligan, Rachel Hiller, Christian H. Kristensen, Beatriz O. M. Lobo, Nicole M. Volkmann, Meghan Marsac, Lamia Barakat, Nancy Kassam-Adams, Reginald D. V. Nixon, Susan Hogan, Raija-Leena Punamäki, Esa Palosaari, Elizabeth Schilpzand, Rowena Conroy, Patrick Smith, William Yule, Richard Meiser-Stedman (2019). Dysfunctional posttraumatic cognitions, posttraumatic stress and depression in children and adolescents exposed to trauma: a network analysis. Journal of Child Psychology and Psychiatry.

DOI

Kristian Kleinke, Jost Reinecke (2019). countimp version 2 – A multiple imputation package for incomplete count data. University of Siegen, Department of Education Studies and Psychology.

PDF Project Source Document

Thomas Beblo, Sarah Pelster, Christine Schilling, Kristian Kleinke, Benjamin Iffland, Martin Driessen, Silvia Fernando (2017). Breath Versus Emotions: The Impact of Different Foci of Attention During Mindfulness Meditation on the Experience of Negative and Positive Emotions. Behavior Therapy.

DOI

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

Project

Kristian Kleinke, Jost Reinecke (2015). Multiple imputation of multilevel count data.. In U. Engel, B. Jann, P. Lynn, A. Scherpenzeel, and P. Sturgis (Eds.), Improving Survey Methods: Lessons from Recent Research (pp. 381–396). New York: Routledge, Taylor & Francis.

Project

Kristian Kleinke, Jost Reinecke (2014). Multiple Imputation of Zero-Inflated and Overdispersed Multilevel Count Data. Technical Report.

PDF Project

See all publications

Workshops

I give one- to three-day workshops on missing data, multiple imputation, and SEM either at your institution or online. To inquire about a workshop, please contact me via Email

Examples

  • Applied multiple imputation. Half day workshop, Heidelberg University Hospital, Heidelberg, Germany (2023)
  • Applied multiple imputation. 3-day workshop, GESIS, Mannheim, Germany (2022)
  • An introduction to structural equation modelling with lavaan in , 2-day workshop, German Centre for Higher Education Research and Science Studies (DZHW), Hannover (2019)
  • An introduction to structural equation modelling in , half-day short course, Hochschule Darmstadt (2019)
  • Missing data imputation in , 3.5-day workshop, Doctorates psychology, University of Zürich (2017)
  • Multiple Imputation, one-day workshop, University of Giessen, Peer mentoring group ‘empirical social research’ (2015).

Consulting

I offer paid statistical consulting for external researchers and for organizations. To inquire about a consulting session, please contact me via Email.

Contact