Within-Group Agreement: On the Use (and Misuse) of rWG and rWG(J) in Leadership Research and Some Best Practice Guidelines

Biemann, Torsten ; Cole, Michael S. ; Voelpel, Sven

DOI: https://doi.org/10.1016/j.leaqua.2011.11.006
URL: http://www.sciencedirect.com/science/article/pii/S...
Document Type: Article
Year of publication: 2012
The title of a journal, publication series: The Leadership Quarterly
Volume: 23
Issue number: 1
Page range: 66-80
Place of publication: Amsterdam
Publishing house: Elsevier
ISSN: 1048-9843
Publication language: English
Institution: Business School > ABWL, Personalmanagement u. Führung (Biemann 2013-)
Subject: 330 Economics
Keywords (English): Data aggregation , Multilevel methods , Within-group agreement
Abstract: Multilevel leadership researchers have predominantly applied either direct consensus or referent-shift consensus composition models when aggregating individual-level data to a higher level of analysis. Consensus composition assumes there is sufficient within-group agreement with respect to the leadership construct of interest; in the absence of agreement, the aggregate leadership construct is untenable. At the same time, guidelines to help leadership researchers make decisions regarding data aggregation issues have received little explicit attention. In particular, a discussion of how data aggregation decisions can enhance or obscure a study's theoretical contribution – a central focus of this article – has not been addressed thoroughly. Recognizing that empirical generalization depends on the accuracy with which aggregation decisions are applied, we revisit the often neglected assumptions associated with the most common agreement statistic used to justify data aggregation — rWG and rWG(J) (James, Demaree, and Wolf, 1984). Thereafter, using a dataset published as part of a Leadership Quarterly special issue (Bliese, Halverson, & Schriesheim, 2002), we highlight the potential misuse of rWG and rWG(J) as the sole statistic to justify aggregation to a higher level of analysis. We conclude with prescriptive implications for promoting consistency in the way multilevel leadership research is conducted and reported.

Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation.

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