Predictive Validity of Thin-Slice Nonverbal Behavior from Social Interactions

Details

Serval ID
serval:BIB_FE8552FF2A1D
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Predictive Validity of Thin-Slice Nonverbal Behavior from Social Interactions
Journal
Personality and Social Psychology Bulletin
Author(s)
Murphy Nora A., Hall Judith A., Ruben Mollie A., Frauendorfer Denise, Schmid Mast Marianne, Johnson Kirsten E., Nguyen Laurent
ISSN
0146-1672
1552-7433
Publication state
Published
Issued date
07/2019
Peer-reviewed
Oui
Volume
45
Number
7
Pages
983-993
Language
english
Abstract
We present five studies investigating the predictive validity of thin slices of nonverbal behavior (NVB). Predictive validity of thin slices refers to how well behavior slices excerpted from longer video predict other measured variables. Using six NVBs, we compared predictive validity of slices of different lengths with that obtained when coding is based on full-length (5-min) video, investigating the relative predictive validity of 1-min slices as well as of cumulative slices. Results indicate some loss in predictive validity with 1-min slices, but relatively little loss when Slices 1 and 2 were combined for five of the six NVBs. This research establishes an empirical basis on which researchers can decide how much of their recorded corpus needs to be coded for NVB. The results also provide some guidance on effect sizes in power analyses for researchers coding specific behaviors in a thin-slice design.
Keywords
coding, nonverbal behavior, predictive validity, thin slices
Pubmed
Web of science
Create date
11/10/2018 15:16
Last modification date
26/06/2020 6:21
Usage data