ERIC Number: EJ924458
Record Type: Journal
Publication Date: 2011-Jun
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1534-4843
EISSN: N/A
Measurement Invariance: A Foundational Principle for Quantitative Theory Building
Nimon, Kim; Reio, Thomas G., Jr.
Human Resource Development Review, v10 n2 p198-214 Jun 2011
This article describes why measurement invariance is a critical issue to quantitative theory building within the field of human resource development. Readers will learn what measurement invariance is and how to test for its presence using techniques that are accessible to applied researchers. Using data from a LibQUAL+[TM] study of user perceptions of service quality, we demonstrate how measurement invariance can threaten the validity of group comparison tests and ensuing theoretical conclusions. Moreover, we identify how measurement invariance can uncover important relationships in data that would otherwise go left unnoticed. (Contains 4 figures and 6 tables.)
Descriptors: Human Resources, Labor Force Development, Social Theories, Reliability, Measurement Techniques, Factor Analysis, Industrial Psychology, Groups, Comparative Analysis, Test Validity, Social Science Research, Correlation, Predictor Variables
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: Adult Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A