Thin-Slicing
Thin-slicing, established by Ambady and Rosenthal's 1992 meta-analysis, is the finding and method that judgments based on very brief samples of expressive behavior -- sometimes only a few seconds -- can predict consequential interpersonal outcomes with surprising accuracy. In the paradigm, short clips (thin slices) of a target's nonverbal and verbal behavior are shown to naive observers who rate a trait or quality, and these ratings are correlated with an independent criterion such as teaching effectiveness, clinical skill, rapport, or relationship outcomes. Ambady and Rosenthal showed across many studies that thin-slice judgments are reliable and valid, and that lengthening the observation often adds little accuracy. The method became a key tool for studying interpersonal perception, first impressions, and the information carried by brief behavioral displays, while also raising questions about the bases and biases of rapid social judgment.
Llegeix el mètode complet
Inicia la sessió amb un compte gratuït per llegir aquesta secció.
Mapa de mètodes
El veïnat de mètodes relacionats — seleccioneu un node per explorar-lo.
Fonts
- Ambady, N., & Rosenthal, R. (1992). Thin slices of expressive behavior as predictors of interpersonal consequences: A meta-analysis. Psychological Bulletin, 111(2), 256-274. DOI: 10.1037/0033-2909.111.2.256 ↗
- Dotsch, R., & Todorov, A. (2012). Reverse correlating social face perception. Social Psychological and Personality Science, 3(5), 562-571. DOI: 10.1177/1948550611430272 ↗
Com citar aquesta pàgina
ScholarGate. (2026, June 23). Thin-Slicing (Brief Observation Judgment Method). ScholarGate. https://scholargate.app/ca/social-psychology/thin-slicing
Quin mètode?
Poseu aquest mètode al costat dels seus parents més pròxims i llegiu-los de costat a costat — la biblioteca disposa els llibres sobre la taula; la tria és vostra.
- Facial EMGPsicologia social↔ compara
- Reverse Correlation TaskPsicologia social↔ compara
- Stereotype Content ModelPsicologia social↔ compara
Mètodes similars
Has vist cap problema en aquesta pàgina? Informa'n o suggereix una correcció →