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Document type:
Zeitschriftenaufsatz
Author(s):
Schönbrodt, F. D.; Hagemeyer, B.; Brandstätter, V.; Czikmantori, T.; Gröpel, P.; Hennecke, M.; Israel, L. S. F.; Janson, K.; Kemper, N.; Köllner, M.; Kopp, P. M.; Mojzisch, A.; Müller-Hotop, R.; Prüfer, J.; Quirin, M.; Scheidemann, B.; Schiestel, L.; Schulz-Hardt, S.; Sust, L.; Zygar, C.; Schultheiss, O. C.
Non-TUM Co-author(s):
ja
Cooperation:
national
Title:
Measuring Implicit Motives With the Picture Story Exercise (PSE): Databases of Expert-Coded German Stories, Pictures, and Updated Picture Norms
Abstract:
Dataset for: Schönbrodt, F. D., Hagemeyer, B., Brandstätter, V., Czikmantori, T., Gröpel, P., Hennecke, M., Israel, L. S. F., Janson, K., Kemper, N., Köllner, M., Kopp, P. M., Mojzisch, A., Müller-Hotop, R., Prüfer, J., Quirin, M., Scheidemann, B., Schiestel, L., Schulz-Hardt, S., Sust, L., Zygar, C., Schultheiss, O. C. (2018). Measuring Implicit Motives With the Picture Story Exercise (PSE): Databases of Expert-Coded German Stories, Pictures, and Updated Picture Norms.
Keywords:
database; implicit motives; machine learning; manual coding; picture story exercise; pictures
Intellectual Contribution:
Discipline-based Research
Journal title:
Journal of Personality Assessment
Journal listet in FT50 ranking:
nein
Year:
2020
Covered by:
Scopus
Fulltext / DOI:
doi:10.1080/00223891.2020.1726936
Publisher:
Taylor & Francis
Judgement review:
0
Key publication:
Ja
Peer reviewed:
Ja
Commissioned:
not commissioned
Technology:
Ja
Interdisciplinarity:
Ja
Mission statement:
;
Ethics and Sustainability:
Ja
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