Research on team faultlines - hypothetical dividing lines splitting a team into homogeneous subgroups based on several demographic attributes such as ethnicity, age, and gender - is burgeoning. In this paper, we extend the faultline construct to the individual level and propose a corresponding measure, AISW. AISW maximizes subgroup homogeneity for each team member and delivers one value per team member denoting how similar this person is to his or her subgroup. We further criticize the somewhat arbitrary practice of faultline research to weigh attributes (e.g., to equate an age difference of ten years to a difference in gender) in the calculation of faultline measures. With a sample of within-team communication of undergraduate student teams, we show that AISW faultlines based on gender, age, and ethnicity, provide better predictive validities than a measure that is based on the common team-level conceptualization of faultlines. We also show that different weightings of the three diversity attributes have a significant impact on predictive validities, and that an empirical determination of attribute weights has better predictive validities than the attribute weightings that are commonly employed in faultline research. Theoretical and practical implications are also discussed.
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