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Journal ArticleDOI

Demographic diversity and employee attitudes : An empirical examination of relational demography within work units

Christine M. Riordan, +1 more
- 01 Jun 1997 - 
- Vol. 82, Iss: 3, pp 342-358
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TLDR
In this paper, the effects of an individual's similarity to the demographic composition of the workgroup on individual-level attitudes with 98 workgroups from a life insurance company were examined and found that similarity in race-ethnicity affected individuals' attitudes toward their work group, as well as perceptions of advancement opportunities.
Abstract
In this study the authors examined the effects of an individual's similarity to the demographic composition of the workgroup on individual-level attitudes with 98 workgroups from a life insurance company. Results indicated that similarity in race-ethnicity affected individuals' attitudes toward their work group, as well as perceptions of advancement opportunities. Nonsignificant results were found for both similarity in gender and tenure. These findings suggest that demographic variables may have differing complexities in their effects on employee attitudes within work units.

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Social Identity and Self-Categorization Processes in Organizational Contexts

TL;DR: In this article, the authors discuss cohesion and deviance, leadership, subgroup and sociodemographic structure, and mergers and acquisitions in organizational psychology, and show how these developments can address a range of organizational phenomena.
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What's the difference? Diversity constructs as separation, variety, or disparity in organizations.

TL;DR: The authors describe three distinctive types of diversity: separation, variety, and disparity, and present guidelines for conceptualization, measurement, and theory testing, highlighting the special case of demographic diversity.
Journal ArticleDOI

Work group diversity and group performance: an integrative model and research agenda.

TL;DR: The categorization-elaboration model (CEM), which reconceptualizes and integrates information/decision making and social categorization perspectives on work-group diversity and performance, is proposed, which incorporates mediator and moderator variables that typically have been ignored in diversity research.
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Teams in Organizations: From Input-Process-Output Models to IMOI Models

TL;DR: This review examines research and theory relevant to work groups and teams typically embedded in organizations and existing over time, although many studies reviewed were conducted in other settings, including the laboratory.
Journal ArticleDOI

Networks, Diversity, and Productivity: The Social Capital of Corporate R&D Teams

TL;DR: In this article, the authors argue that the debate regarding the performance implications of demographic diversity can be usefully reframed in terms of the network variables that reflect distinct forms of social capital.
References
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Journal ArticleDOI

Structural equation modeling in practice: a review and recommended two-step approach

TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
Book

Applied multiple regression/correlation analysis for the behavioral sciences

TL;DR: In this article, the Mathematical Basis for Multiple Regression/Correlation and Identification of the Inverse Matrix Elements is presented. But it does not address the problem of missing data.
Journal ArticleDOI

Alternative Ways of Assessing Model Fit

TL;DR: In this paper, two types of error involved in fitting a model are considered, error of approximation and error of fit, where the first involves the fit of the model, and the second involves the model's shape.
Journal ArticleDOI

Comparative fit indexes in structural models

TL;DR: A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models and two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes.
Book

Structural Equations with Latent Variables

TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
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