Testing Dependent Correlation Coefficients via Structural Equation Modeling

By Mike W.-L. Cheung, Wai-Sum Chan. 2004

75 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/ce4d72acc9ba708d2801a92da3dcffc9410f9596

How researchers see this paper

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

In Information Systems and Management

1. Mike W.-L. Cheung
2. Tina Kiefer
3. Laurie J. Barclay
4. Xu Huang
5. Hamed Qahri-Saremi
6. Ali Reza Montazemi

In Organizational Behavior and Human Resource Management

1. Laurie J. Barclay
2. Mike W.-L. Cheung
3. Tina Kiefer
4. K. Leung
5. Wai-Sum Chan
6. A. Au
7. Xu Huang
8. Maria Vakola

Citations in the corpus

• Approach or Avoid? Exploring Overall Justice and the Differential Effects of Positive and Negative Emotions (2014, methodology): “…emotions and our outcomes (i.e., performance, psychological withdrawal, helping) and the procedure recommended by Olkin and Finn (1990; see also Cheung & Chan, 2004; Fornell & Larcker, 1981) for testing relationships within latent variables (i.e., the three justice dimensions to overall…”
• A Two-Stage Approach to Synthesizing Covariance Matrices in Meta-Analytic Structural Equation Modeling (2009, background): “…factor correlation matrix ˆ.g/ and the diagonal factor loading matrix ƒ.g/ represent the sample correlation matrix and the standard deviations, respectively (also see M. W. L. Cheung, in press; M. W. L. Cheung & Chan, 2004; Raykov, 2001, for other applications of similar parameterizations).”
• Social axioms and values: a cross‐cultural examination (2007, methodology): “Recently, Cheung and Chan (2004) propose that the equality of a set of correlations across several samples can be tested efficiently by”
• Comparison of Approaches to Constructing Confidence Intervals for Mediating Effects Using Structural Equation Models (2007, background): “…to name a few instances, to meta-analytic SEM (Cheung & Chan, 2005), multilevel models (Curran, 2003; Mehta & Neale, 2005), latent growth models (Chan, 1998; Willett & Sayer, 1994), and to the testing of hypotheses involving covariances and correlations (Cheung & Chan, 2004; Raykov, 2001b).”
• Constructing Approximate Confidence Intervals for Parameters With Structural Equation Models (2009, methodology): “Many research hypotheses involving covariances and correlations can be easily formulated in SEM ( Cheung & Chan, 2004 ; Raykov, 2001b ).”