On the equivalency of factor and network loadings

Recent research has demonstrated that the network measure node strength or sum of a node’s connections is roughly equivalent to confirmatory factor analysis (CFA) loadings. A key finding this represents combination different latent causes. In present research, we sought circumvent issue by formulating loadings, which call two simulations, evaluated whether these loadings could effectively (1) separate effects multiple causes and (2) estimate simulated loading matrix models. Our findings suggest can do both. addition, leveraged second simulation derive effect size guidelines for third simulation, similarities differences between when data were generated from random, factor, We found sufficient allowed us develop an algorithm predict generating model called Loadings Comparison Test (LCT). The LCT had high sensitivity specificity predicting model. sum, our results provide similar information are therefore be used in way (e.g., item selection, measurement invariance, scores).