A Statistical Approach for Identifying Redundant Items in Large Datasets with Extensive Missingness: An Empirical Example in Network Modeling

Network modeling is useful for investigating relationships among many psychopathology symptoms simultaneously. But missing data and redundant items can make model estimation and interpretation challenging. In high-quality empirical data, we extend one tool for identifying redundancies to the missing data case and offer insight for researchers dealing with extensive missingness.