Assessing The Measurement Invariance Of Latent Job Satisfaction Ratings Across Survey Administration Modes For Respondent Subgroups: A MIMIC Modeling Approach
- ASU Author/Contributor (non-ASU co-authors, if there are any, appear on document)
- Brian Whitaker Ph.D., Assistant Professor (Creator)
- Institution
- Appalachian State University (ASU )
- Web Site: https://library.appstate.edu/
Abstract: To date, many studies have assessed the measurement invariance of a wide variety of measures across Internet and paper-and-pencil conditions; however a relative dearth exists in the literature investigating measurement invariance across administration modes for differing subgroups of respondents. Using MIMIC modeling, this study assessed whether gender and age of the respondent systematically influenced responding according to administration mode above and beyond measurement invariance. Consistent with past research, this study demonstrated that job satisfaction ratings were indeed measurement invariant across Internet and paper-and-pencil conditions, however, older respondents tend to differentially rate job satisfaction according to administration mode. Implications are discussed .
Assessing The Measurement Invariance Of Latent Job Satisfaction Ratings Across Survey Administration Modes For Respondent Subgroups: A MIMIC Modeling Approach
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Created on 6/27/2016
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Additional Information
- Publication
- Brian G. Whitaker & Jessica L. McKinney (2007) "Assessing The Measurement Invariance Of Latent Job Satisfaction Ratings Across Survey Administration Modes For Respondent Subgroups: A MIMIC Modeling Approach." Behavior Research Methods #39, pp. 502-509 Version of Record available At www.springer.com [DOI: 10.3758/BF03193019]
- Language: English
- Date: 2007
- Keywords
- mimic modeling, measurement invariance, mgcfa