S5E21 Multilevel Factor Analysis: But What Do The Factors Mean?!
Quantitude
Importance of Cross-Level Measurement Invariance in Factor Modeling
Cross-level measurement invariance is crucial in factor modeling to effectively characterize constructs at different levels, allowing for the modeling of information across clusters. By imposing invariance on loadings at the within and between levels, additional insights can be obtained regarding the variability of the characteristics being studied. This approach is particularly valuable when modeling constructs that span multiple levels, such as trust of cadets within squads, enabling a deeper understanding of individual and cluster-level dynamics.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
