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4 September 2022 to 7 September 2024
Klagenfurt
Europe/Vienna timezone

Sharing “living” meta-analytic data with PsychOpen CAMA: The implementation of a community-augmented meta-analysis on the Dark Triad of personality

Speakers

Lisa Bucher (University of Vienna) Ulrich Tran (University of Vienna) Gerhard M. Prinz (University of Vienna) Tanja Burgard (Leibniz Institute for Psychology (ZPID)) Michael Bosnjak (Leibniz Institute for Psychology (ZPID); University of Trier) Martin Voracek (Universität Wien)

Description

Various open-repository concepts have been developed to improve the accessibility, reproducibility, and timeliness of research syntheses. One such concept, community-augmented meta-analysis (CAMA), aims to keep meta-analyses up-to-date by allowing the research community to contribute and continuously include new evidence. In 2021, the Leibniz Institute for Psychology (ZPID) released the first version of a web-based platform, PsychOpen CAMA, which enables this new publication format in psychological research. This contribution presents a primer on how to conduct a CAMA with PsychOpen CAMA, using as an exemplary illustration 6 large-scale, “living” meta-analyses on the Dark Triad of personality (k = 400+ effect sizes each), focusing on trait interrelations as well as on sex differences regarding the 3 traits Machiavellianism, narcissism, and psychopathy. In addition, we provide insights into the implementation process of a CAMA in PsychOpen CAMA, including data curation, aggregation, and using web-based analysis tools. Finally, we derive and discuss possibilities and benefits for data contributors, as well as for users of “living” meta-analyses in PsychOpen CAMA.

Primary author

Lisa Bucher (University of Vienna)

Co-authors

Ulrich Tran (University of Vienna) Gerhard M. Prinz (University of Vienna) Tanja Burgard (Leibniz Institute for Psychology (ZPID)) Michael Bosnjak (Leibniz Institute for Psychology (ZPID); University of Trier) Martin Voracek (Universität Wien)

Presentation Materials

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