A step-by-step approach to using SAS for factor analysis and structural equation modeling
By L. Hatcher, N. O’Rourke. 2014
735 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/fd3d1ddff4b4bb0956c81903919b33c054d5632d
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Citations in the corpus
- A Structure–Conduct–Performance Perspective of How Strategic Supply Chain Integration Affects Firm Performance (2015, background): “This also indicates convergent validity as the constructs account for more than 50% of the variance explained in the constructs (Hatcher, 1994).”
- Applications of Structural Equation Modeling in Social Sciences Research (2014, methodology): “SEM allows the use of confirmatory factor analysis to reduce measurement error by testing multiple indicators per latent variable while offering superior model visualization through its graphical modeling interface ( Hatcher, 2005; Joreskog, 1993; Kline, 2005).”
- Common Method Variance Techniques (2014, background): “The recommendations by Kline (2005), Hatcher (1994) and Johnson and Creech (1983) refer to the number of manifest variables remaining after removing those that did not load as hypothesized.”
- The Moderating Effect of Perceived Product Innovativeness and Product Knowledge on New Product Adoption: An Integrated Model (2013, background): “Although the ρ vc(η) of intention to purchase was slightly below 0.50, we believe the reliabilities are still acceptable as the variances extracted estimate test is a conservative measure of reliability (Hatcher 1994; Jelinek and Ahearne 2010).”
- Exploratory Factor Analysis: A Guide to Best Practice (2018, unknown): “…Stata) and tutorials on the use of EFA and supplemental statistical routines are accessible for those packages (e.g., Child, 2006; Fabrigar & Wegener, 2012; Garson, 2013; Lloret et al., 2017; Mehmetoglu & Jakobsen, 2017; O’Connor, 2000; O’Rourke & Hatcher, 2013; Pett et al., 2003; Price, 2017).”