4.3 Article

Construct Distinctiveness and Variance Composition of Multi-Dimensional Instruments: Three Short-Form Masculinity Measures

Journal

JOURNAL OF COUNSELING PSYCHOLOGY
Volume 62, Issue 3, Pages 488-502

Publisher

AMER PSYCHOLOGICAL ASSOC
DOI: 10.1037/cou0000092

Keywords

construct distinctiveness; confirmatory factor analysis; Male Role Norms Inventory-Short Form (MRNI-SF); Conformity to Masculine Norms Inventory-46 (CMNI-46); Gender Role Conflict Scale-Short Form (GRCS-SF)

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Focusing on a set of 3 multidimensional measures of conceptually related but different aspects of masculinity, we use factor analytic techniques to address 2 issues: (a) whether psychological constructs that are theoretically distinct but require fairly subtle discriminations by survey respondents can be accurately captured by self-report measures, and (b) how to better understand sources of variance in subscale and total scores developed from such measures. The specific measures investigated were the: (a) Male Role Norms Inventory-Short Form (MRNI-SF); (b) Conformity to Masculine Norms Inventory-46 (CMNI-46); and (c) Gender Role Conflict Scale-Short Form (GRCS-SF). Data (N = 444) were from community-dwelling and college men who responded to an online survey. EFA results demonstrated the discriminant validity of the 20 subscales comprising the 3 instruments, thus indicating that relatively subtle distinctions between norms, conformity, and conflict can be captured with self-report measures. CFA was used to compare 2 different methods of modeling a broad/general factor for each of the 3 instruments. For the CMNI-46 and MRNI-SF, a bifactor model fit the data significantly better than did a hierarchical factor model. In contrast, the hierarchical model fit better for the GRCS-SF. The discussion addresses implications of these specific findings for use of the measures in research studies, as well as broader implications for measurement development and assessment in other research domains of counseling psychology which also rely on multidimensional self-report instruments.

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