The consistency of psychometric properties across waves of data collection provides valuable evidence that scores can be interpreted consistently. Evidence supporting the consistency of psychometric properties can come from using a longitudinal extension of item factor analysis to account for the lack of independence of observation when evaluating the cross-wave properties. In this study, we demonstrate how to conduct and interpret a longitudinal examination of psychometric properties. This demonstration uses data on the Comprehensive Measure of Meaning across two waves of data collection. A simplified, structured set of R syntax for analyses is provided, and all remaining code is freely available in the accompanying Open Science Framework repository.