Literature DB >> 31120262

Situational strength interactions: Are variance patterns consistent with the theory?

Kathleen R Keeler1, Wenmo Kong2, Reeshad S Dalal2, Jose M Cortina1.   

Abstract

Mischel's (1973, 1977) theory of situational strength has been used widely within the organizational sciences to help explain why contextual factors moderate predictor-criterion relationships. Situational strength interactions represent a particular type known as a restricted variance (RV) interaction (Cortina, Köhler, & Nielsen, 2015). The theory proposes that the strength of a given situation constrains or compresses the variance of the dependent variable, weakening its prediction from other variables. Other theories and models, such as self-determination theory and the job characteristics model, also make implicit references to variance compression based on the level of autonomy in a given situation and to the interactions that this compression creates. It is unclear, however, whether differences in strength (or degree of constraint) actually yield variance differences that are consistent with the theoretical framework. In this meta-analysis, we reviewed 132 articles that imply RV effects, 100 of which allowed for variance comparisons. We found that only a handful of authors explicitly connect their theoretical arguments and interaction hypotheses to changes in variance in the Introduction section of their articles. Moreover, our findings also reveal that, for the most part, variance differences between weak and strong situations are minimal. Where differences exist, they are often in the opposite of the expected direction (i.e., larger variance in "strong" situations). We discuss our findings and their theoretical and practical implications. We also provide recommendations for designing studies and testing for such interactions. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Mesh:

Year:  2019        PMID: 31120262     DOI: 10.1037/apl0000416

Source DB:  PubMed          Journal:  J Appl Psychol        ISSN: 0021-9010


  1 in total

1.  Understanding the Relationship between Situational Strength and Burnout: A Multi-Sample Analysis.

Authors:  José García-Arroyo; Isabel Cárdenas Moncayo; Antonio Ramón Gómez García; Amparo Osca Segovia
Journal:  Int J Environ Res Public Health       Date:  2020-12-28       Impact factor: 3.390

  1 in total

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