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EASP – European Association of Social Psychology

Meta-analysis on “Suitability of indirect/implicit (as opposed to direct/explicit) measures of aggressiveness for predicting aggressive behavior: A systematic meta-analysis”

24.01.2024, by Lena Miketta

Deadline: 26 February, 2024

Dear colleagues,

We are currently conducting a comprehensive meta-analysis assessing whether indirect measures of aggressiveness are suitable for predicting aggressive behavior, and whether they have additional explanatory power beyond direct measures of aggressiveness. We would be grateful for any empirical study (unpublished, in press or very recently published) or data set that investigates the validity of indirect and direct measures of aggressiveness for predicting aggressive behavior.

Our inclusion criteria:

1) Any empirical study that allows us to determine the three zero-order correlations of interest:
a. between indirect measures of aggressiveness and the observed aggressive behavior
b. between direct measures of aggressiveness and the observed aggressive behavior
c. between indirect and direct measures of aggressiveness
d. or, alternatively, the corresponding multiple regression analyses.
2) We are interested in all forms of indirect measures of aggressiveness (e.g., IAT variants, priming paradigms, Stroop Tasks, Go-NoGo Tasks, etc.).
3) For the criterion of “aggressive behavior”, we are considering:
a. All behavioral observations, excluding self-reports.
b. Data related to aggressive behavior in various contexts (such as schools, sports, prisons, social life), excluding rule violations or other dissocial behaviors.
c. Exclusion of sexually aggressive behavior towards children and adults.

If you have studies or datasets that meet the above criteria, please contact us at miketta@uni-bonn.de. We will only include the materials sent to us in the above meta-analysis and will not use them for any other purpose. If you wish, we can also provide you with a template for completing the required information.

The deadline for inclusion in our meta-analysis is February 26, 2024. Please do not hesitate to contact us if you have any questions. We would be happy if you would forward this email to people who might have the relevant data.

Thank you for considering our request!

M.Sc. Lena Miketta
University of Bonn
miketta@uni-bonn.de

Assistant Professor Dr. Verena Oberlader
University of Mainz
Verena.oberlader@uni-mainz.de

Prof. Dr. Rainer Banse
University of Bonn
banse@uni-bonn.de