Measurement models for linking latent variables and indicators: A review of human resource management research using parcels

Larry J. Williams; Ernest H. O'Boyle

doi:10.1016/j.hrmr.2008.07.002

Measurement models for linking latent variables and indicators: A review of human resource management research using parcels

Larry J. Williams, Ernest H. O'Boyle

Business Administration

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195 Scopus citations

Abstract

This paper first reviews the various measurement model options for linking latent variables to indicators that are available to human resource management (HRM) researchers. A special emphasis is placed on the option of parcels, created by combining subsets of items to form indicators. Next, a review is presented of 27 articles from the major HRM journals that have used parcels, with a focus on conceptual/theoretical and empirical issues. Recommendations for HRM researchers for improved use of parcels are also provided.

Original language	English
Pages (from-to)	233-242
Number of pages	10
Journal	Human Resource Management Review
Volume	18
Issue number	4
DOIs	https://doi.org/10.1016/j.hrmr.2008.07.002
State	Published - Dec 2008

Keywords

Drag coefficient
Measurement model
Parceling
Partial aggregation
Structural equation modeling

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10.1016/j.hrmr.2008.07.002

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