Testing Equivalence in the Structure, Means, and Variances of Higher-Order Constructs With Structural Equation Modeling

By Gordon W. Cheung. 2008

189 citations recorded by the source corpus.

Subfields: Developmental and Educational Psychology, Management Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/cd6262b7f68d375dd26cddbf3361d373d3297a85

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In Developmental and Educational Psychology

In Management Information Systems

In Sociology and Political Science

Citations in the corpus

Interpreting Social Identity in Online Brand Communities: Considering Posters and Lurkers (2017, methodology): “Running multi-group structural models requires initial tests of measurement invariance through multi-sample confirmatory factor analyses (MCFA) (Byrne & Watkins, 2003; Cheung, 2008; Hair et al., 2010).”
Cross-Cultural Generalizability of Paternalistic Leadership: An Expansion of Leader-Member Exchange Theory (2010, background): “For example, 86% of GLOBE study’s Indian sample was male (Chhokar, 2007). The study conducted by Pillai et al. (1999) also reported a sample largely represented by males (70%).”
Structural equation modeling in medical research: a primer (2010, background): “Its applications range from analysis of simple relationships between variables to complex analyses of measurement equivalence for first and higher-order constructs [2].”
Are Commitment Profiles Stable and Predictable? A Latent Transition Analysis (2016, methodology): “The measurement invariance of the first-order factor model was estimated first, without a secondorder latent construct (Cheung, 2008), in the following sequence: (i) configural invariance, (ii) loadings”
A Direct Comparison Approach for Testing Measurement Invariance (2012, background): “…The Chinese University of Hong Kong, Room 810, Cheng Yue Tung Building, CUHK, Shatin, NT, Hong Kong Email: gordonc@cuhk.edu.hk literature (e.g., Cheung, 2008; Cheung & Rensvold, 2002; Vandenberg & Lance, 2000), the ME/I tests, as well as the sequence of tests required in a particular study,…”
Knowledge absorptive capacity: New insights for its conceptualization and measurement☆ (2010, methodology): “This paper's contribution of value rests on an appropriate definition by factorial analysis serving as the basis for the analysis of covariances shared by the dimensions and components under the latent model (Law et al., 1998; Cheung, 2008).”
Internet Privacy Concerns: An Integrated Conceptualization and Four Empirical Studies (2013, background): “Factor loadings can represent how reliably each of the lower-order constructs reflects the higherorder construct and how important each of them is (Cheung 2008).”