A Test for Cluster Bias: Detecting Violations of Measurement Invariance Across Clusters in Multilevel Data

By S. Jak, F. Oort, Conor V. Dolan. 2013

138 citations recorded by the source corpus.

Subfields: Education, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7ada957b54eaa7ec742a5e5e729690839ef44d04

How researchers see this paper

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

In Education

1. Daniel M. McNeish
2. Ji Seung Yang
3. Tammy D. Allen
4. Cary L. Cooper
5. Ulla Kinnunen *
6. E. S. Kim
7. Yan Wang
8. Chang‐qin Lu

In Management Science and Operations Research

1. Paul E. Spector
2. Daniel M. McNeish
3. O. Siu
4. M. O’driscoll
5. Tammy D. Allen
6. Ulla Kinnunen *
7. E. S. Kim
8. Yan Wang

In Statistics and Probability

1. Daniel M. McNeish
2. Ji Seung Yang
3. Laura M. Stapleton
4. O. Siu
5. M. O’driscoll
6. Tammy D. Allen
7. Cary L. Cooper
8. Ulla Kinnunen *

Citations in the corpus

• Measurement Invariance of the Satisfaction With Life Scale Across 26 Countries (2017, methodology): “Second, we were unable to examine why the intercepts of Items 2, 4, and 5 were noninvariant, although we demonstrated how to investigate the source of noninvariance by including potential predictors of noninvariance using the ML-MIMIC model.”
• Minimum sample size estimation in PLS‐SEM: The inverse square root and gamma‐exponential methods (2018, unknown): “A frequently used option to implement this, which is not without problems (as discussed below), is to include variables storing the group means associated with existing variables (Grilli & Rampichini, 2011; Jak et al., 2013).”
• Multilevel and Single-Level Models for Measured and Latent Variables When Data Are Clustered (2016, background): “This situation suggests that either there is one or more shared constructs at the cluster level that are affecting all individuals within a cluster or the measurement tool is working differentially across the clusters (Jak et al., 2013).”
• Recent Methods for the Study of Measurement Invariance With Many Groups (2018, unknown): “Three random intercept models are fitted, following the suggestions of Jak et al. (2013). Model 1 lets factor loadings be different on the two levels and lets the residual variances on the between level be free (lB 61⁄4 lW , yB free).”
• Measurement Invariance Testing with Many Groups: A Comparison of Five Approaches (2017, methodology): “For the mathematical proof of metric and scalar invariance, refer to Jak et al. (2013).”