Multivariate analysis of the interaction of person, situation and response variables in situation-specific interpersonal behavior

Dan M Mungas, James A. Walsh

Research output: Contribution to journalArticle

Abstract

This study attempted to use multivariate statistical methodology to empirically derive and define person, situation and response variables which interact in determining situation-specific behavior of college students, and to clarify the nature of the interaction of those variables. A variant of principal components analysis was used to derive reliable dimensions of persons and situations underlying situation-specific self-reported response. These dimensions appeared to correspond to clusters of grossly similar situations. An attempt to define the derived dimensions using measures based on Murray needs did not provide clear-cut, quantitative definitions. The solution derived using the principal components procedure was found to have validity in terms of predicting overt behavior in a contrived situation. Results were interpreted as being supportive of the principal components technique as a method for deriving determinants of situation-specific behavior, but the need for new technology for defining those dimensions was commented upon.

Original languageEnglish (US)
Pages (from-to)439-448
Number of pages10
JournalPersonality and Individual Differences
Volume5
Issue number4
DOIs
StatePublished - 1984

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Multivariate Analysis
Principal Component Analysis
Students
Technology

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Psychology(all)
  • Social Psychology

Cite this

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abstract = "This study attempted to use multivariate statistical methodology to empirically derive and define person, situation and response variables which interact in determining situation-specific behavior of college students, and to clarify the nature of the interaction of those variables. A variant of principal components analysis was used to derive reliable dimensions of persons and situations underlying situation-specific self-reported response. These dimensions appeared to correspond to clusters of grossly similar situations. An attempt to define the derived dimensions using measures based on Murray needs did not provide clear-cut, quantitative definitions. The solution derived using the principal components procedure was found to have validity in terms of predicting overt behavior in a contrived situation. Results were interpreted as being supportive of the principal components technique as a method for deriving determinants of situation-specific behavior, but the need for new technology for defining those dimensions was commented upon.",
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AB - This study attempted to use multivariate statistical methodology to empirically derive and define person, situation and response variables which interact in determining situation-specific behavior of college students, and to clarify the nature of the interaction of those variables. A variant of principal components analysis was used to derive reliable dimensions of persons and situations underlying situation-specific self-reported response. These dimensions appeared to correspond to clusters of grossly similar situations. An attempt to define the derived dimensions using measures based on Murray needs did not provide clear-cut, quantitative definitions. The solution derived using the principal components procedure was found to have validity in terms of predicting overt behavior in a contrived situation. Results were interpreted as being supportive of the principal components technique as a method for deriving determinants of situation-specific behavior, but the need for new technology for defining those dimensions was commented upon.

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