Journalism and mass communication research is underutilizing structural equation modeling (SEM) for the purposes of specifying, estimating, and evaluating measurement models. The analytical exercises undertaken for this essay reveal SEM-based confirmatory factor analysis (CFA) to be a multifaceted tool that can aid researchers in generating greater understanding of the measurement elements of their research endeavors. Secondary analyses of 2014 World Values Survey (N = 9,901) data emphasize the following: testing competing models, model identification, proper evaluation of covaried error terms, absolute and incremental model fit statistics, the chi-square distributed test statistic, model equivalency, multiple-group models, and assessing equality constraints.