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原文連結
論文資訊
- 類型：已發表論文
- 日期：2021-08-19
摘要
In recent years, 網絡 analysis has been applied to identify and analyse patterns of 統計 association in multivariate psychological data. In these approaches, 網絡 nodes represent variables in a data set, and edges represent pairwise conditional associations between variables in the data, while conditioning on the remaining variables. This Primer provides an anatomy of these techniques, describes the current state of the art and discusses open problems. We identify relevant data structures in which 網絡 analysis may be applied: cross-sectional data, repeated measures and intensive longitudinal data. We then discuss the estimation of 網絡 structures in each of these cases, as well as assessment techniques to evaluate 網絡 robustness and replicability. Successful applications of the technique in differen
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