Year: 2002
Type: other
Abstract: Measurement invariance and group differences in intercepts in confirmatory factor analysis Measurement invariance with respect to groups is an essential aspect of the fair use of scores of intelligence tests and other psychological measurements.In this chapter, it is shown why establishing measurement invariance with confirmatory factor analysis requires a statistical test of the equality over groups of measurement intercepts.Without this essential test, latent mean differences are ambiguous and measurement bias may be overlooked.The implications and meaning of group differences in measurement intercepts are discussed.A re-analysis of a study by J. Te Nijenhuis, E. Tolboom, W. Resing, and N. Bleichrodt (2004) illustrates that ignoring intercept differences may lead to the conclusion that bias of IQ tests with respect to minorities is small, while in reality bias is quite severe. 2.19 Formally, the expected values in Groups 1 and 2 equal ( )
Author: Jelte M. Wicherts
Language: English
Field: Decision Sciences
Domain: Social Sciences
SDG: Reduced inequalities
Open Access status: green
OpenAlex ID: W1904217758