Testing Configural, Metric, Scalar, and Latent Mean Invariance Across Genders in Sociotropy and Autonomy Using a Non-Western Sample

By Sehee Hong, M. Malik, Min-Kyu Lee. 2003

457 citations recorded by the source corpus.

Subfields: Clinical Psychology, Experimental and Cognitive Psychology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/f660b133baf75475669ff83571c6227a04486d1c

How researchers see this paper

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

In Clinical Psychology

In Experimental and Cognitive Psychology

In Social Psychology

Citations in the corpus

Life Satisfaction in Brazil: Testing the Psychometric Properties of the Satisfaction With Life Scale (SWLS) in Five Brazilian Samples (2008, background): “Configural invariance is tested by constraining the factorial structure to be equal across groups, and it is satisfied if the basic model structure is invariant across samples ( Hong et al. 2003; Shevlin et al. 1998; Steenkamp and Baumgartner 1998).”
Usability and Sociability in Online Communities: A Comparative Study of Knowledge Seeking and Contribution (2009, methodology): “As the survey questionnaire was administered to two groups of respondents, i.e., one for knowledge seeking and another for knowledge contribution, it is important to establish measurement invariance prior to comparing responses from the two groups (Cheung and Rensvold, 2002; Hong et al., 2003).”
A Cross-Cultural Study of Environmental Motive Concerns and Their Implications for Proenvironmental Behavior (2006, methodology): “So establishing scalar invariance indicates that individuals who have the same value on the construct would obtain the same value on the observed variable regardless of their group membership (Finney & Davis, 2003; Hong et al., 2003; Steenkamp & Baumgartner, 1998).”
On Chi-Square Difference and z Tests in Mean and Covariance Structure Analysis when the Base Model is Misspecified (2004, methodology): “…observe that fit indices are often used when judging a covariance structure because of the need to accept the model, whereas chi-squares or z tests are generally used when judging a mean difference because of the need to find significance (see Hong et al., 2003; Whiteside-Mansell & Corwyn, 2003).”