1997
DOI: 10.1207/s15327906mbr3201_3
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Mean and Covariance Structures (MACS) Analyses of Cross-Cultural Data: Practical and Theoretical Issues

Abstract: Practical and theoretical issues are discussed for testing (a) the comparability, or measurement equivalence, of psychological constructs and (b) detecting possible sociocultural difference on the constructs in cross-cultural research designs. Specifically, strong factorial invariance (Meredith, 1993) of each variable's loading and intercept (mean-level) parameters implies that constructs are fundamentally the same in each sociocultural group, and thus comparable. Under this condition, hypotheses about the nat… Show more

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Cited by 1,206 publications
(1,296 citation statements)
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“…Assured anonymity and confidentiality were implemented to reduce the possibility of social desirability influencing survey responses. covariance structures modeling (MACS; Little 1997). Each sample (previously published and present) has its own representative model reflecting factor structure.…”
Section: Eals Long-form Measurement Invariancementioning
confidence: 99%
“…Assured anonymity and confidentiality were implemented to reduce the possibility of social desirability influencing survey responses. covariance structures modeling (MACS; Little 1997). Each sample (previously published and present) has its own representative model reflecting factor structure.…”
Section: Eals Long-form Measurement Invariancementioning
confidence: 99%
“…Measurement invariance (MI) analyses are accomplished through specification of a series of increasingly restrictive factor models. Generally speaking, there are four tests of MI (or what Little, 1997, referred to as Category 1 analyses) and two additional tests to assess construct-level invariance (or what Little referred to as Category 2 analyses). Only the Category 1 tests pertain to the question of measurement bias per se.…”
Section: Measurement Biasmentioning
confidence: 99%
“…The statistical differences and similarities may support partial measurement invariance of some of the constructs in some countries. However, the constrained (metrically invariant) model is substantially more parsimonious and meaningful than the model with only configural invariance, and it is reasonable to accept it (Little 1997). Table 5 about here 10 As the sample size is very large, we do not apply the chi-square difference test (Cheung and Rensvold 2002).…”
mentioning
confidence: 99%