| dc.contributor.author | Van de Schoot, Rens | |
| dc.contributor.author | Lugtig, Peter | |
| dc.contributor.author | Hox, Joop | |
| dc.date.accessioned | 2016-06-29T12:34:24Z | |
| dc.date.available | 2016-06-29T12:34:24Z | |
| dc.date.issued | 2012 | |
| dc.identifier.citation | Van de Schoot, R. et al. 2012. A checklist for testing measurement invariance. European journal of developmental psychology, 9(4):486-492. [http://www.tandfonline.com/toc/pedp20/current] | en_US |
| dc.identifier.issn | 1740-5629 | |
| dc.identifier.issn | 1740-5610 (Online) | |
| dc.identifier.uri | http://hdl.handle.net/10394/17882 | |
| dc.identifier.uri | http://www.tandfonline.com/doi/full/10.1080/17405629.2012.686740#abstract | |
| dc.identifier.uri | DOI:10.1080/17405629.2012.686740 | |
| dc.description.abstract | The analysis of measurement invariance of latent constructs is important in
research across groups, or across time. By establishing whether factor
loadings, intercepts and residual variances are equivalent in a factor model
that measures a latent concept, we can assure that comparisons that are made
on the latent variable are valid across groups or time. Establishing
measurement invariance involves running a set of increasingly constrained
structural equation models, and testing whether differences between these
models are significant. This paper provides a step-by-step guide to analysing
measurement invariance | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Taylor & Francis | en_US |
| dc.subject | Confirmatory factor analysis | en_US |
| dc.subject | validity | en_US |
| dc.subject | measurement invariance | en_US |
| dc.title | A checklist for testing measurement invariance | en_US |
| dc.type | Article | en_US |
| dc.contributor.researchID | 25959565 - Van de Schoot, Adrianus Gerardus Joanes | |
