27 research outputs found

    Do faultlines hurt or help? exploring distance, identity, task conflict, and individual performance in diverse groups

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    We introduce the concept of faultline distance that reflects the extent to which subgroups formed by faultlines diverge as a result of accumulated differences across them (e.g., two members of age 20 are closer in age to two members of an opposing faultline of age 25 than of two members of age 50). We further extend faultline theory by showing how different faultline bases (information-based and social category faultlines) have differential effects on outcomes. Using a sample of 76 workgroups from a Fortune 500 information processing company, we examine the relationships between group faultlines, shared identity, work-related conflict, and multiple individual performance indicators. The results reveal that members of groups with strong information-based faultlines had high levels of performance ratings, while members of groups with strong social category faultlines had low levels of bonuses. Faultline distance further exacerbated the negative effects in groups with strong social category faultlines and reversed the positive effects in groups with information-based faultlines. A sense of strong superordinate identity among group members enhanced members\u27 performance. Finally, mediated moderation was confirmed for the groups with strong social category faultlines; such groups had low levels of conflict which then resulted in low levels of bonuses

    Matching With Doses in an Observational Study of a Media Campaign Against Drug Abuse

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    Multivariate matching with doses of treatment differs from the treatment-control matching in three ways. First, pairs must not only balance covariates, but also must differ markedly in dose. Second, any two subjects may be paired, so that the matching is nonbipartite, and different algorithms are required. Finally, a propensity score with doses must be used in place of the conventional propensity score. We illustrate multivariate matching with doses using pilot data from a media campaign against drug abuse. The media campaign is intended to change attitudes and intentions related to illegal drugs, and the evaluation compares stated intentions among ostensibly comparable teens who reported markedly different exposures to the media campaign

    Data pruning in consumer choice models

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    Revisiting faultline conceptualization: measuring faultline strength and distance

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    The purpose of this research is to develop a conceptually and methodologically sound measure of group faultlines (demographic alignment of members along multiple attributes within a group). This measure takes into account the concept of faultline strength (the extent of a demographic alignment across members within a group) and, thus far neglected in past work, the concept of faultline distance. This faultline distance measure reflects how far apart the emerging subgroups are on demographic characteristics. This new, more elaborate conceptualization of faultlines is validated by presenting a number of hypothetical examples that demonstrate the distinct properties of faultline measures. We also validate our measures by empirically examining the relationships between faultline strength and distance, and active, or perceived, faultlines

    Analytical Modeling in Complex Surveys of Work Practices

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    Quantitative industrial relations research frequently relies on data collected from large surveys of establishments that use complex sampling designs, such as stratified and unequal probability sampling. The authors analyze two complex surveys of establishments, the National Organizations Survey and the National Survey of Establishments. They discuss design-based (survey-weighted) and model-based (unweighted) strategies for analyzing these data. They show that the choice of strategy can affect inferences about parameters, and hence conclusions drawn from analyses. They discuss the advantages of model-based approaches that include independent variables corresponding to design features, such as functions of size measures or indicator variables for strata or clusters, relative to purely design-based approaches
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