Measurement Invariance for Latent Constructs in Multiple Populations

By Tenko Raykov, George A. Marcoulides, Cheng-Hsien Li. 2012

94 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/920757244b2c4c393ad044ed409fe075c47f41ce

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. David Rutkowski
2. N. Bowen
3. Leslie Rutkowski
4. Dubravka Svetina
5. Myeongsun Yoon
6. Eunju Jung
7. R. Masa

In Experimental and Cognitive Psychology

1. David Rutkowski
2. N. Bowen
3. Leslie Rutkowski
4. Dubravka Svetina
5. Myeongsun Yoon

In Management Science and Operations Research

1. David Rutkowski
2. Leslie Rutkowski
3. Dubravka Svetina
4. N. Bowen
5. Myeongsun Yoon
6. Eunju Jung
7. R. Masa
8. Deana Desa

Citations in the corpus

• Comparisons of Three Empirical Methods for Partial Factorial Invariance: Forward, Backward, and Factor-Ratio Tests (2016, background): “Yet measurement invariance studies have long been stuck in the unresolved problem of identifying a truly invariant RV (Cheung & Lau, 2011; Khalid, 2011; Raykov et al., 2012; Whittaker, 2013).”
• Conducting Measurement Invariance Tests with Ordinal Data: A Guide for Social Work Researchers (2015, result): “However, consistent with published studies (Byrne et al., 1989; Raykov et al., 2012), we proceeded to tests of the configural model with our marginally adequate baseline models.”
• Multiple-Group Invariance with Categorical Outcomes Using Updated Guidelines: An Illustration Using Mplus and the lavaan/semTools Packages (2020, methodology): “As Raykov et al. (2012) demonstrated, when conducting ME/I, it is important to control the overall significance error level associated with the multiple tests.”