NotesFAQContact Us
Collection
Advanced
Search Tips
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ1106364
Record Type: Journal
Publication Date: 2016-Aug
Pages: 29
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0013-1644
EISSN: N/A
The Role of Measurement Quality on Practical Guidelines for Assessing Measurement and Structural Invariance
Kang, Yoonjeong; McNeish, Daniel M.; Hancock, Gregory R.
Educational and Psychological Measurement, v76 n4 p533-561 Aug 2016
Although differences in goodness-of-fit indices (?GOFs) have been advocated for assessing measurement invariance, studies that advanced recommended differential cutoffs for adjudicating invariance actually utilized a very limited range of values representing the quality of indicator variables (i.e., magnitude of loadings). Because quality of measurement has been found to be relevant in the context of assessing data-model fit in single-group models, this study used simulation and population analysis methods to examine the extent to which quality of measurement affects ?GOFs for tests of invariance in multiple group models. Results show that ?McDonald's NCI is minimally affected by loading magnitude and sample size when testing invariance in the measurement model, while differences in comparative fit index varies widely when testing both measurement and structural variance as measurement quality changes, making it difficult to pinpoint a common value that suggests reasonable invariance.
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A