Conducting Tetrad Tests of Model Fit and Contrasts of Tetrad-Nested Models: A New SAS Macro
By John R. Hipp, Daniel J. Bauer, Kenneth A. Bollen. 2005
54 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/4a092d59de7939bce6e4138d74a79a89b7f41d5d
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
- J. Grace
- Mathias Drton
- Hélène Massam
- Ingram Olkin
- Kenneth A. Bollen
- Kayvan Sadeghi
- Nanny Wermuth
- Huy P Phan
In Management Science and Operations Research
- J. Grace
- Hélène Massam
- Mathias Drton
- Ingram Olkin
- Kenneth A. Bollen
- Peter M. Bentler
- Denny Borsboom
- Albert Maydeu-Olivares
Citations in the corpus
- Representing general theoretical concepts in structural equation models: the role of composite variables (2008, methodology): “We used the SAS macro for vanishing tetrads provided in Hipp et al. (2005) and found that the fit of Model A is significantly worse than is the fit of Model B or C (p < .05).”
- Moments of minors of Wishart matrices (2006, methodology): “This approach allows one in particular to avoid numerical maximization of the complicated likelihood functions of hidden variable models and we refer the reader to the examples discussed, for example, in [3, 8, 15].”