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Related Experiment Videos

Team assessment utilizing a many-facet Rasch model

J M Allen1, R E Schumacker

  • 1University of North Texas, Denton 76203, USA.

Journal of Outcome Measurement
|July 14, 1998
PubMed
Summary

Team performance assessment is shifting from individual to team-based evaluations. This study used the many-facet Rasch model to analyze rater leniency and severity in team performance ratings.

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Area of Science:

  • Organizational Psychology
  • Psychometrics

Background:

  • Organizations are increasingly adopting team-based work structures.
  • Traditional individual performance assessments are transitioning to team-based strategies.
  • Team assessment necessitates multiple raters and criteria, introducing potential rater bias.

Purpose of the Study:

  • To analyze statistical differences in team performance ratings.
  • To investigate rater leniency and severity in team assessments.
  • To evaluate the application of the many-facet Rasch model in team performance evaluation.

Main Methods:

  • Analysis of ratings for individual members across 31 teams.
  • Evaluation of performance based on 12 distinct criteria.
  • Application of the many-facet Rasch model for statistical analysis.

Main Results:

  • Identified statistically significant differences between teams in performance ratings.
  • Quantified variations in ratings attributed to individual rater leniency or severity.
  • Demonstrated the utility of the many-facet Rasch model in dissecting rater effects.

Conclusions:

  • Team performance assessment requires robust methods to account for rater variability.
  • The many-facet Rasch model provides a valuable framework for analyzing complex team rating data.
  • Findings inform the development of fairer and more accurate team compensation strategies.

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