How Long? How Many? How Much? Evidence of Convergent Validity Among Thin-Slice Behavioral Coding Metrics.
Despite the ubiquity of thin-slice coding for behavioral measurement, there exists relatively little systematic research into the convergent validity of thin-slice coding metrics for nonverbal behaviors when using human coders. This study utilized five previous datasets to measure four commonly-meas...
| Publicado en: | Journal of Nonverbal Behavior Vol. 49; no. 3; pp. 307 - 324 |
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| Autores principales: | , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Sep2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=187723237&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 187723237 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 01915886 JNV jtl: Journal of Nonverbal Behavior issn: 01915886 maglogo: N pubinfo: dt: Sep2025 vid: 49 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 187723237 10.1007/s10919-025-00489-w ppf: 307 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1MB tig: atl: How Long? How Many? How Much? Evidence of Convergent Validity Among Thin-Slice Behavioral Coding Metrics. aug: au: Murphy, Nora A. Ruben, Mollie A. Stosic, Morgan Renier, Laetitia A. Schlegel, Katja Hall, Judith A. Schmid Mast, Marianne Marroquín, Brett affil: https://ror.org/00xhj8c72 Loyola Marymount University, Los Angeles, USA https://ror.org/013ckk937 University of Rhode Island, Kingston, USA https://ror.org/01adr0w49 University of Maine, Orono, USA https://ror.org/01g1xae87 KBR, Behavioral Health and Performance Laboratory, Biomedical Research and Environmental Sciences Division, Human Health and Performance Directorate, NASA Johnson Space Center, NASA Johnson Space Center, USA https://ror.org/019whta54 University of Lausanne, Lausanne, Switzerland https://ror.org/02k7v4d05 University of Bern, Bern, Switzerland https://ror.org/04t5xt781 Northeastern University, Boston, USA su: Nonverbal communication Body language Interpersonal relations Facial expression Statistical correlation Cronbach's alpha Data analysis T-test (Statistics) Research evaluation Statistical sampling Descriptive statistics Medical coding Research methodology Statistics Video recording Eye movements Predictive validity sug: subj: Nonverbal communication Body language Interpersonal relations Facial expression Marketing Research and Public Opinion Polling Statistical correlation Cronbach's alpha Data analysis T-test (Statistics) Research evaluation Statistical sampling Descriptive statistics Medical coding Research methodology Statistics Video recording Eye movements Predictive validity keyword: Behavioral Coding Convergent Validity Gaze Gesture Nod Smile Thin Slices Behavioral Coding Convergent Validity Gaze Gesture Nod Smile Thin Slices ab: Despite the ubiquity of thin-slice coding for behavioral measurement, there exists relatively little systematic research into the convergent validity of thin-slice coding metrics for nonverbal behaviors when using human coders. This study utilized five previous datasets to measure four commonly-measured nonverbal behaviors (gaze, gestures, nods, smiles) using three different coding metrics (duration, frequency, rating) coded in 2 or 3 min slices. Convergent validity was measured by comparing a given behavior coded with at least two different metrics. Meta-analytic assessments across studies, behaviors, and metrics indicated strong convergent validity for various metrics for each behavior. Results provide confidence to researchers on the validity of using these thin-slice coding metrics for nonverbal behaviors. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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