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

Larry J. Williams, Ernest H. O'Boyle

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)233-242
Number of pages10
JournalHuman Resource Management Review
Volume18
Issue number4
DOIs
StatePublished - Dec 2008

Keywords

  • Drag coefficient
  • Measurement model
  • Parceling
  • Partial aggregation
  • Structural equation modeling

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