NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)0
Since 2006 (last 20 years)2
Descriptor
Comparative Analysis2
Factor Analysis2
Measurement2
Test Bias2
Item Response Theory1
Models1
Sample Size1
Scaling1
Simulation1
Validity1
Source
Structural Equation Modeling:…2
Author
DuVernet, Amy M.1
Johnson, Emily C.1
Kim, Eun Sook1
Meade, Adam W.1
Yoon, Myeongsun1
Publication Type
Journal Articles2
Reports - Evaluative1
Reports - Research1
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 2 results Save | Export
Testing Measurement Invariance: A Comparison of Multiple-Group Categorical CFA and IRT
Peer reviewed Peer reviewed
Direct linkDirect link
Kim, Eun Sook; Yoon, Myeongsun – Structural Equation Modeling: A Multidisciplinary Journal, 2011
This study investigated two major approaches in testing measurement invariance for ordinal measures: multiple-group categorical confirmatory factor analysis (MCCFA) and item response theory (IRT). Unlike the ordinary linear factor analysis, MCCFA can appropriately model the ordered-categorical measures with a threshold structure. A simulation…
Descriptors: Measurement, Factor Analysis, Item Response Theory, Comparative Analysis
The Role of Referent Indicators in Tests of Measurement Invariance
Peer reviewed Peer reviewed
Direct linkDirect link
Johnson, Emily C.; Meade, Adam W.; DuVernet, Amy M. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Confirmatory factor analytic tests of measurement invariance (MI) require a referent indicator (RI) for model identification. Although the assumption that the RI is perfectly invariant across groups is acknowledged as problematic, the literature provides relatively little guidance for researchers to identify the conditions under which the practice…
Descriptors: Measurement, Validity, Factor Analysis, Models