The General Linear Model as Structural Equation Modeling

By J. Graham. 2008

78 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/8fe8f074ec207705e452e22daf54309f86dfff85

How researchers see this paper

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

In Statistics and Probability

1. Linda Reichwein Zientek
2. J. Graham
3. B. Thompson
4. R. Henson
5. T. Vacha-haase
6. Anthony J. Onwuegbuzie
7. Shuyan Sun
8. Carl J. Huberty

Citations in the corpus

• Matrix Summaries Improve Research Reports: Secondary Analyses Using Published Literature (2009, methodology): “Guttmans (1954) eigenvalue-greater-than-1 rule is often used to determine the number of factors, but this method may lead to extraction of too many factors (Gorsuch, 1983; Thompson 2004).”
• Measuring love in romantic relationships: A meta-analysis (2011, methodology): “The models I used were the models used to conduct multiple regression analyses in SEM (Graham, 2008b), save that latent, rather than measured variables served as the predictors.”