Does the Spiritual Values/Religion Subscale of the Self-Description Questionnaire III Function Differentially Across Heterosexual and Non-Heterosexual Young Adults? A Measurement Invariance Study

We evaluated the dimensionality and measurement invariance of the Spiritual Values/Religion (SVR) subscale from the Self-Description Questionnaire III across heterosexual and non-heterosexual young adults. We found a one-factor model provided adequate fit to the data for each group, with the SVR items exhibiting configural, metric, and scalar invariance across the two groups. Given that we established measurement invariance, we examined the latent mean difference on the construct and found the heterosexual group reported significantly higher levels of spiritual value/ religion than the non-heterosexual group. Our results provided empirical support for the theorized factor structure of the SVR items and the use of the SVR subscale across heterosexual and non-heterosexual young adults, making the scale a viable option for researchers studying religiosity in these specific subpopulations

The Effects of Item Parceling on Goodness-of-Fit and Parameter Estimate Bias in Structural Equation Modeling

Two simulation studies were conducted to investigate the effects of the practice of item parceling. In Study 1, unidimensional sets of normally and nonnormally distributed item-level data were categorized into 2-, 3-, and 4-item parcels. Analyses revealed that the use of item parcels resulted in better fitting solutions, as measured by the root mean squared error of approximation (RMSEA), comparative fit index (CFI), and chi-square test, when items had a unidimensional structure. Parceled solutions also resulted in less bias in estimates of structural parameters under these conditions than did solutions based on the individual items. In Study 2 the issue of whether the use of item parceling could mask a known multidimensional factor structure among a set of items was investigated. Results indicated that certain types of item parceling can obfuscate a multidimensional factor structure in such a way that acceptable values of fit indexes are found for a misspecified solution. In addition, parceling under these conditions was found to result in bias in the estimates of structural parameters. Although parceling can ameliorate the effects of coarsely categorized and nonnormally distributed item-level data when the items are unidimensional, the use of parceling with items that are multidimensional or for which the factor structure is unknown cannot be recommended

The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models

A Monte Carlo simulation examined the performance of 4 missing data methods in structural equation models: full information maximum likelihood (FIML), listwise deletion, pairwise deletion, and similar response pattern imputation. The effects of 3 independent variables were examined (factor loading magnitude, sample size, and missing data rate) on 4 outcome measures: convergence failures, parameter estimate bias, parameter estimate efficiency, and model goodness of fit. Results indicated that FIML estimation was superior across all conditions of the design. Under ignorable missing data conditions (missing completely at random and missing at random), FIML estimates were unbiased and more efficient than the other methods. In addition, FIML yielded the lowest proportion of convergence failures and provided near-optimal Type 1 error rates across both simulations

Does the Spiritual Values/Religion Subscale of the Self-Description Questionnaire III Function Differentially Across Heterosexual and Non-Heterosexual Young Adults? A Measurement Invariance Study

We evaluated the dimensionality and measurement invariance of the Spiritual Values/Religion (SVR) subscale from the Self-Description Questionnaire III across heterosexual and non-heterosexual young adults. We found a one-factor model provided adequate fit to the data for each group, with the SVR items exhibiting configural, metric, and scalar invariance across the two groups. Given that we established measurement invariance, we examined the latent mean difference on the construct and found the heterosexual group reported significantly higher levels of spiritual value/ religion than the non-heterosexual group. Our results provided empirical support for the theorized factor structure of the SVR items and the use of the SVR subscale across heterosexual and non-heterosexual young adults, making the scale a viable option for researchers studying religiosity in these specific subpopulations

Union commitment and participation in the Chinese context

Department of Management and Marketin