Teacher's Corner: Testing Measurement Invariance of Second-Order Factor Models
By F. Chen, K. Sousa, S. West. 2005
1,063 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Experimental and Cognitive Psychology, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/b63027742401b6fdb346f1a7b2521587bca134ab
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In Computer Networks and Communications
- Daniel A. Sass
- Eldad Davidov
- P. Schmidt
- Ekaterina Lytkina
- A. Zick
- M. Rudnev
- W. H. Finch
- Brian French
In Experimental and Cognitive Psychology
- M. Matos
- Paul Gilbert
- José Pinto-Gouveia
- Laura Ceresatto
- Jessica J. Hoppner
- Vasiliki Vamvaka
- Choong‐Ki Lee
- W. H. Finch
In Management Science and Operations Research
- Daniel A. Sass
- Stephen A. Sivo
- Xitao Fan
- Ekaterina Lytkina
- Jessica J. Hoppner
- Vasiliki Vamvaka
- Choong‐Ki Lee
- W. H. Finch
Citations in the corpus
- Testing the dimensionality of place attachment and its relationships with place satisfaction and pro-environmental behaviours: A structural equation modelling approach (2013, background): “Chen et al. (2005) argue that a second-order factor model separates variance due to specific factors from measurement error, leading to a theoretically error-free estimate of the specific factors.”
- Reciprocity in Relationship Marketing: A Cross-Cultural Examination of the Effects of Equivalence and Immediacy on Relationship Quality and Satisfaction with Performance (2015, methodology): “Although there was an increase in the chisquare value, following the logic of Chen, Sousa, and West (2005), it can be concluded that first-order metric invariance is exhibited given the lack of substantial change in fit.”
- Testing multidimensional models of youth civic engagement: Model comparisons, measurement invariance, and age differences (2017, methodology): “Finally, in higher-order and bifactor models, invariance of the first-order disturbances (i.e., variances of specific or lower-order factors) must be tested (Chen et al., 2005).”
- Using ΔGoodness-of-Fit Indexes in Assessing Mean Structure Invariance (2009, background): “As discussed in Chen, Sousa, and West (2005), goodness-of-fit indexes were originally designed to assess model fit in terms of the covariance structure.”