Not logged in.
Quick Search - Contribution
Contribution Details
Type | Journal Article |
Scope | Discipline-based scholarship |
Title | Testing for measurement invariance by detecting local misspecification and an illustration across online and paper-and-pencil samples |
Organization Unit | |
Authors |
|
Item Subtype | Original Work |
Refereed | Yes |
Status | Published in final form |
Language |
|
Journal Title | European Political Science |
Publisher | Palgrave Macmillan Ltd. |
Geographical Reach | international |
ISSN | 1680-4333 |
Volume | 14 |
Number | 4 |
Page Range | 521 - 538 |
Date | 2015 |
Abstract Text | Political scientists often need to evaluate whether samples are comparable,for example, when analysing different countries or time points or when comparing data collected using different methods. A necessary condition for conducting such meaningful cross-group comparisons is the establishment of measurement invariance. One of the most frequently used procedures for establishing measurement invariance is the multigroup confirmatory factor analysis. This method was criticised in the literature because it may suggest that a model fits the data although it may contain serious misspecifications. We present an alternative method to test for measurement invariance using detection of local misspecifications and illustrate its use on two data sets assessing value priorities that |
Zusammenfassung | Political scientists often need to evaluate whether samples are comparable, for example, when analysing different countries or time points or when comparing data collected using different methods. A necessary condition for conducting such meaningful cross-group comparisons is the establishment of measurement invariance. One of the most frequently used procedures for establishing measurement invariance is the multigroup confirmatory factor analysis. This method was criticised in the literature because it may suggest that a model fits the data although it may contain serious misspecifications. We present an alternative method to test for measurement invariance using detection of local misspecifications and illustrate its use on two data sets assessing value priorities that are often analysed in political science and collected using paper-and pencil and web modes of data collection. |
Free access at | DOI |
Digital Object Identifier | 10.1057/eps.2015.64 |
Other Identification Number | merlin-id:12682 |
PDF File | Download |
Export |
BibTeX
EP3 XML (ZORA) |