Confirmatory Factor Analysis With Different Correlation Types and Estimation Methods

By Randall Schumacker, S. Beyerlein. 2000

71 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management, Monitoring, Policy and Law, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/8c0906fda6b2531672529e856c89dc4adc4b599a

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. Dawn Iacobucci
2. Natalya N. Bazarova
3. Yoon Hyung Choi

In Management, Monitoring, Policy and Law

1. Dawn Iacobucci

In Management Science and Operations Research

1. Dawn Iacobucci
2. J. Edwards
3. Marcello M. Mariani
4. Maria Ek Styvén
5. Christian Martin
6. J. Lucke
7. Mike C. Parent
8. S. Czellár

Citations in the corpus

• Structural Equations Modeling: Fit Indices, Sample Size, and Advanced Topics (2010, result): “Research consistently says the correlations (and corresponding parameter estimates) are attenuated (i.e., underestimated), and standard errors and χ2 values overestimated (Schumacker & Beyerlein, 2000), which is good news because all these results err in the statistically conservative direction.”
• The Growth of Structural Equation Modeling: 1994-2001 (2003, unknown): “…& Molenaar, 1999); canonical correlation (Fan, 1997); MANOVA and discriminant analysis (Cole, Arvey, Salas, & Maxwell, 1993); item response models (Schumacker & Beyerlein, 2000); time series models (Hershberger, Molenaar, & Corneal, 1996); multidimensional scaling (Maydeu-Olivares, 1999); and…”