Two Rules of Identification for Structural Equation Models
By Kenneth A. Bollen, W. R. Davis. 2009
97 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/7eb6b112b8cbdfc449be752c360b51aa6b04a02d
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
- Mikoaj Czajkowski
- Karine Nyborg
- N. Hanley
- Paul-Christian Burkner
- W. R. Davis
- Kenneth A. Bollen
- Huy P Phan
- Mike W.-L. Cheung
In Management Science and Operations Research
- Mikoaj Czajkowski
- Karine Nyborg
- N. Hanley
- Paul-Christian Burkner
- Kenneth A. Bollen
- W. R. Davis
- Peter M. Bentler
- Denny Borsboom
Citations in the corpus
- Innovative Behaviour, Trust and Perceived Workplace Performance (2018, unknown): “Both CFA’s are identified via the 3-indicator rule (3 items with factor complexity of 1 for each latent variable) (see Bollen and Davis, 2009).”
- Social Norms, Morals and Self-interest as Determinants of Pro-environment Behaviours: The Case of Household Recycling (2014, methodology): “To assure credibility of our results we followed Bollen and Davis (2009) to ensure the necessary conditions hold for identification of structural equation models.”
- Bayesian Item Response Modeling in R with brms and Stan (2019, background): “If the above implication does not hold, certain parameters need to be fixed to ensure identification or other constraints be made (e.g., San Martín 2015; San Martín and González 2010; Bollen and Davis 2009).”
- Causal Indicator Models: Identification, Estimation, and Testing (2009, methodology): “See Bollen and Davis (2009) for more details.”