Relationships Among Subsystem Context, Structure, Climate, and Performance from the Perspective of an Integrating Model.

Abstract

Potential correlates of performance for divisions within 20 U.S. Navy ships were examined from the perspective of an integrating model. The correlates included variables representing selected domains in the model, namely context, structure, climate, and accumulated individual differences. Intradomain analyses suggested that large subsystems were of questionable relevance for interpreting many situational variables. Interdomain analyses indicated that situations and individuals were confounded, and that division climate scores were at best only moderately related to context and structure. Predictive validities for the division criteria suggested that a multivariate integrating model provided a promising paradigm for both the prediction of subsystem performance and the understanding of the underlying relationships.

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1975
Accession Number
ADA021420

Entities

People

  • Allan P. Jones
  • Christopher W. Hornick
  • John R. Bruni
  • Lawrence R. James
  • Saul B. Sells

Organizations

  • Texas Christian University

Tags

Fields of Study

  • Psychology

Readers

  • Computational Modeling and Simulation
  • Organizational Psychology.