A tale of three perspectives: Examining post hoc statistical techniques for detection and correction of common method variance

Hettie A. Richardson; Marcia J. Simmering; Michael C. Sturman

doi:10.1177/1094428109332834

A tale of three perspectives: Examining post hoc statistical techniques for detection and correction of common method variance

Hettie A. Richardson
, Marcia J. Simmering
, Michael C. Sturman

Management and Sustainable Supply Chain Management

Louisiana State University
Cornell University

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	762-800
Number of pages	39
Journal	Organizational Research Methods
Volume	12
Issue number	4
DOIs	https://doi.org/10.1177/1094428109332834
State	Published - Oct 2009

ASJC Scopus Subject Areas

General Decision Sciences
Strategy and Management
Management of Technology and Innovation

Keywords

Common method variance
Data simulation
Post hoc statistical detection and correction
Self-report data

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10.1177/1094428109332834

Cite this

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KW - Data simulation

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A tale of three perspectives: Examining post hoc statistical techniques for detection and correction of common method variance

ASJC Scopus Subject Areas

Keywords

Access to Document

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