Attributing the Causes of Group Performance: Effects of Performance Quality, Task Importance, and Future Testing.

Abstract

An egocentric perception model of attribution suggests that three major factors affect self-serving perceptual biases which occur after task performance: performance quality, the importance of the task, and the possibility of continuing to work on similar future tasks. To assess the effects of these variables on attributions, 126 subjects worked in four-person, same-sex groups on a social sensitivity task. The 2 by 2 by 2 by 2 factorial design included: (a) group success or failure, (b) high versus low task importance, (c) expectations of future testing versus no future testing, and (d) sex of subjects. Although the manipulation checks indicated that the task importance and future testing manipulations were quite successful, only group performance consistently affected attributions. As compared to subjects in groups that failed, successful subjects attributed greater responsibility for the performance to self, average group member, and group as a whole, and attributed the cause of the performance more to personal ability and less to internal constraints, situational distractions, and task difficulty. The results support an information processing model of egocentrism rather than a self-serving motivational model, and extend previous findings of attributed causality that were obtained in individual testing situations to group testing situations. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1975
Accession Number
ADA019449

Entities

People

  • Barry R. Schlenker
  • Donelson R. Forsyth

Organizations

  • University of Florida

Tags

DTIC Thesaurus Topics

  • Factorial Design
  • Information Processing
  • Perception
  • Psychological Phenomena And Processes
  • Sensitivity
  • Task Performance And Analysis

Fields of Study

  • Psychology

Readers

  • Psychometric Testing or Psychological Assessment.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.