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Caption-ing the situation

A lexically-derived taxonomy of psychological situation characteristics

Bibliographic Data

ID6203350
AuthorsScott Parrigon, Sang Eun Woo (0000-0002-3232-5913), Louis Tay (0000-0002-5522-4728), Tong Wang (0000-0002-9483-0050, University of Toronto)
Year2017
Volume112
Issue4
Pages642-681
Publication date2017-04-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Personality and Social Psychology (JOURNAL)
Journal identifiersISSN: 0022-3514 • E-ISSN: 1939-1315
PublisherAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037/pspp0000111
PMID27537274
OpenAlexW2510058772
LanguageEN
Citations received52
References cited79

In comparison with personality taxonomic research, there has been much less advancement toward establishing an integrative taxonomy of psychological situation characteristics (similar to personality characteristics for persons). One of the main concerns has been the limited content coverage of the characteristics being used. To address this issue, we present a collection of 4 lexically based studies using the largest-to-date number of situation characteristics to identify the major dimensions of the psychological situation. These studies each implemented a unique sampling and analytic methodology-namely, a qualitative dimensional exploration; the factor analyses of 2, independent samples of large-scale in situ ratings of situations; and the use of lexical-vector representations from neural-network-based models derived from millions of sources of natural-language usage with a total of 146.7 billion words. Across these studies, a clear 7-dimensional structure emerged: Complexity, Adversity, Positive Valence, Typicality, Importance, Humor, and Negative Valence-collectively referred to as the "CAPTION" model, which parsimoniously integrates the diversity of dimensions found in the extant literature. We then introduce both full- and short-form measures of these CAPTION. Data from 2 additional diverse samples of native English speakers suggest that the measures have good psychometric properties, and are able to predict a broad range of important psychological outcomes (e.g., behaviors, affect, motivation, and need satisfaction), even when pitted against extant situation taxonomic frameworks. We conclude by discussing how the CAPTION framework may serve as a useful tool for conceptualizing and measuring a broad range of psychological situations across all areas of psychology. (PsycINFO Database Record

Affect (linguistics) · Cognitive psychology · Extant taxon · Personality · Psychological research · Taxonomy (biology) · Valence (chemistry) · Communication · Media Influence and Health · Mental Health Research Topics · Personality Traits and Psychology · Psychology · Social Psychology

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Unique citing works52
Citations per year6,5
Citation span2018 - 2026 (9)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 45

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