Factorial Invariance: Historical Perspectives and New Problems

By R. Millsap, W. Meredith. 2007

157 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/f0fc2516900a7504bfee84fcd3415dca2d0e7345

How researchers see this paper

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

In Artificial Intelligence

1. J. Nesselroade
2. Nilam Ram
3. S. Hardy
4. D. Gerstorf
5. Jelte M. Wicherts
6. Conor V. Dolan
7. M. H. Lai
8. Myeongsun Yoon

In Management Science and Operations Research

1. Jelte M. Wicherts
2. Conor V. Dolan
3. Nilam Ram
4. J. Nesselroade
5. M. H. Lai
6. Myeongsun Yoon
7. Daniel A. Sass
8. Huy P Phan

Citations in the corpus

• Emphasizing Intraindividual Variability in the Study of Development Over the Life Span (2010, background): “The various elements of the common factor model—loading patterns, factor covariance matrices, unique parts covariance matrices, and JWBT287-02.indd 40 6/7/10 7:15:34 AM intercepts—are central in distinguishing among weak, strong, and strict invariance (Meredith, 1993; Millsap & Meredith, 2007).”
• Measurement invariance in confirmatory factor analysis: an illustration using IQ test performance of minorities (2010, background): “One may look at intercept differences as occurring because of a group difference in the specific ability tapped by the corresponding indicator (Meredith & Horn, 2001; Millsap & Meredith, 2007).”
• Testing Factorial Invariance With Unbalanced Samples (2018, methodology): “…there have been several methodological advances since Jӧreskog (1971) first proposed an approach to testing measurement invariance using the confirmatory factor analysis (CFA) framework, a number of methodological issues in testing factorial invariance remain unsolved (Millsap & Meredith, 2007).”
• Focus Article: Idiographic Filters for Psychological Constructs (2007, background): “Summing up, invariance concepts are crucial in science and important strides in defining them in psychometric terms have been made (see e.g., Meredith, 1993; Millsap & Meredith, 2006).”
• Testing Measurement Invariance and Comparing Latent Factor Means Within a Confirmatory Factor Analysis Framework (2011, background): “Although studies comparing latent factor means within a MCFA framework have increased drastically over the last decade (Millsap & Meredith, 2007), MSEM studies testing both measurement and structural invariance remain scarce.”