Research synthesis methods 

Aims and scope

Research synthesis techniques such as systematic reviews and meta-analyses have become standard methods for aggregating the results from thematically related research in psychology. They can be used to describe the state of the art in a research field, to test and/or compare theories, and to derive conclusions about the effectiveness of interventions.

The overall aim of our research is to address hotspot topics in any subfield of psychology and related areas with the aid of research synthesis methods. Furthermore, we aim to further develop research synthesis methods. The topics covered include, but are not limited to:

  • Systematic reviews and meta-analyses contributing to the recent discussion on replicability, transparency, and research integrity in psychology;
  • Meta-analytic replications and extensions of previously published syntheses, e.g., by applying more recent approaches and/or by including more recent primary studies;
  • Methodological advances in research synthesis methods relevant for any subfield of psychology;
  • Quality appraisal systems for primary, secondary, and meta-analytic studies;
  • Meta-analytic structural equation modeling (MASEM).

Contact person

Prof. Dr. Michael Bosnjak
Acting Head of Research Synthesis Methods

+49 (0)651 201-2706

 

Research projects

Meta-analytic approaches to synthesize Big Data

(together with Mike Cheung, National University of Singapore)

Research panel conditioning systematic review

(together with Bella Struminskaya, Utrecht University)

Evidence-based data collection methodology

(together with Prof. Dr. Katja Lozar Manfreda and Prof. Dr. Valentina Hlebec, University of Ljubljana)

Events

Research Synthesis 2018, June 10-12, 2018:
researchsynthesis2018.leibniz-psychology.org

Edited volumes and series

Zeitschrift für Psychologie, Hotspots in Psychology:

2019 edition (call for papers)
2018 edition (call for papers)
2016 edition

Bosnjak, M., Cheung, M., & Viechtbauer, W. (Eds.) Systematic reviews and meta-analysis. Springer Briefs Edited Series:
www.springer.com/series/10240

Selected publications

Cornesse, C., & Bosnjak, M. (2018).

Is there an association between survey characteristics and representativeness?

A meta-analysis. Survey Research Methods, 12(1), 1-13.
ojs.ub.uni-konstanz.de/srm/article/view/7205

Lazarevic, L., Bosnjak, M., Knezevic, G., Petrovic, B., Puric, D., Teovanovic, P., Opacic, G., & Bodroza, B. (2016).

Disintegration as an additional trait in the psychobiological model of personality: Assessing discriminant validity via meta-analysis.

Zeitschrift für Psychologie, 224(3), 204-215.
dx.doi.org/10.1027/2151-2604/a000254

Knezevic, G., Lazarevic, L., Bosnjak, M., Puric, D., Petrovic, B., Teovanovic, P., Opacic, G., & Bodroza, B. (2016).

Towards a personality model encompassing a disintegration factor separate from the big five traits: A meta-analysis of the empirical evidence.

Personality and Individual Differences, 95, 214-222.
dx.doi.org/10.1016/j.paid.2016.02.044

Aguirre-Rodriguez, A., Bosnjak, M., & Sirgy, M. J. (2012).

Moderators of the self-congruity effect on consumer decision-making: A meta-analysis.

Journal of Business Research, 65(8), 1179-1188.
dx.doi.org/10.1016/j.jbusres.2011.07.031

Bosnjak, M. & Viechtbauer, W. (2009).

Die Methode der Meta-Analyse zur Evidenzbasierung von Gesundheitsrisiken: Beiträge der Sozial-, Verhaltens- und Wirtschaftswissenschaften.

Zentralblatt für Arbeitsmedizin, Arbeitsschutz und Ergonomie, 59(11), 322-333.
dx.doi.org/10.1007/BF03344247

Lozar Manfreda, K., Bosnjak, M., Berzelak, J., Haas, I., & Vehovar, V. (2008).

Web surveys versus other survey modes: A meta-analysis comparing response rates.

International Journal of Market Research, 50(1), 79-104.

Members

Visiting researchers

  • Prof. Dr. Wolfgang Viechtbauer, Maastricht University
    (Juni 2018)
  • Prof. Dr. Mike Cheung, National University of Singapore
    (Juni 2018)

Cooperation partners

  • Prof. Dr. Mike Cheung,
    National University of Singapore
  • Prof. Dr. Katja Lozar Manfreda,
    University of Ljubljana
  • Prof. Dr. Wolfgang Viechtbauer,
    Maastricht University
  • Dr. Bernd Weiß,
    GESIS - Leibniz Institute for the Social Sciences