Dispersion-Composition Models in Multilevel Research

Organizational Research Methods - Tập 14 Số 4 - Trang 718-734 - 2011
Michael S. Cole1, Arthur G. Bedeian2, Robert R. Hirschfeld3, Bernd Vogel4
1M. J. Neeley School of Business, Department of Management, Texas Christian University, Fort Worth, TX, USA
2College of Business Administration, Department of Management, Louisiana State University, Baton Rouge, LA, USA
3College of Business Administration, Department of Management and Quantitative Methods, University of Colorado at Colorado Springs, Colorado Springs, CO, USA
4Henley Business School, School of Management, University of Reading, Reading, OXF, United Kingdom

Tóm tắt

Multilevel researchers have predominantly applied either direct consensus or referent-shift consensus composition models when aggregating individual-level data to a higher level of analysis. This prevailing focus neglects both theory and empirical evidence, suggesting that the variance of group members' responses may complement the absolute mean level of group members' judgments. The goals of this article are to demonstrate the application of dispersion-composition models for capturing variability among group members' collective judgments and highlight the statistical challenges (and inherent constraints) of using group means and variances as predictors of study criteria. To this end, the authors present and illustrate a six-step sequential framework for applying dispersion-composition models using data from two independent field samples. The authors contend that the application of dispersion-composition models not only will strengthen a study’s conclusions by eliminating potential rival data interpretations but may also shed new light on past findings, potentially opening new doors to a more complete understanding of multilevel phenomena.

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Organizational Research Methods

Tập 14 Số 4

718-734

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