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Journal of Cross-Cultural Psychology - Employees Csbsju

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Lucas et al. / MARITAL SATISFACTION INVARIANCE 115TABLE 2MARQ Scale Internal ConsistenciesScale Items Group AlphaLove 9 American husbands .91American wives .91British husbands .89British wives .91Chinese husbands .87Chinese wives .86Turkish husbands .87Turkish wives .89Partnership 9 American husbands .90American wives .91British husbands .87British wives .90Chinese husbands .88Chinese wives .88Turkish husbands .86Turkish wives .86NOTE: MARQ = Marriage and Relationships Questionnaire.Usually, configural equivalency determines a baseline model <strong>of</strong> invariance by providing aplatform for next assessing metric invariance, the second requirement <strong>of</strong> structural equivalency(Vandenberg & Lance, 2000). Metric invariance is generally equated with strongfactorial invariance and is more restrictive than configural invariance in requiring equivalentitem loadings (i.e., factor scores for a given item are equivalent across groups).Historically, researchers have suggested that the means <strong>of</strong> the latent variables can becompared across groups once metric invariance has been established (Cheung & Rensvold,1999). However, more recent recommendations (e.g., Byrne, 2001) have suggested thatintercept invariance may also be required for structural equivalency. We thereforeemployed a third requirement <strong>of</strong> structural equivalency by assessing not only configuraland metric invariance but also the equivalency <strong>of</strong> item intercepts. In cases where all threerequirements <strong>of</strong> structural equivalency were met, we examined one final form <strong>of</strong> invarianceby examining the equivalency <strong>of</strong> latent variable means. Thus, although our primaryanalyses related to the equivalency <strong>of</strong> structure in our measures <strong>of</strong> marital satisfaction, wealso examined equivalency <strong>of</strong> level in cases where structure was invariant.We examined the invariance <strong>of</strong> each <strong>of</strong> our four marital satisfaction measures usingcovariance structure analyses. All analyses were performed using LISREL 8.30 (Jöreskog& Sörbom, 1999) and maximum likelihood estimation. In all instances, scale restrictionwas imposed by constraining the latent variable variances to one. Because <strong>of</strong> our largesample sizes, we expected that the normal weighted theory chi-square statistic would besignificant (Marsh, Balla, & McDonald, 1988). We therefore examined several additionalfit indices, including the nonnormed fit index (NNFI; Bentler & Bonett, 1980), the comparativefit index (CFI; Bentler, 1990; Satorra & Bentler, 1994), and the root mean squareerror <strong>of</strong> approximation (RMSEA; Browne & Cudeck, 1993). Values <strong>of</strong> .90 or higher arethought to indicate good overall fit for the NNFI and the CFI, whereas values up to .08 aregenerally considered acceptable for the RMSEA.Invariance testing requires an assessment <strong>of</strong> changes in overall model fit that occurwhen restricted models impose additional equivalency constraints on items. Generally,Downloaded from http://jcc.sagepub.com at College <strong>of</strong> St. Benedict/St. John's University on April 10, 2008© 2008 SAGE Publications. All rights reserved. Not for commercial use or unauthorized distribution.

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