Procedural Aspects of Replicability Analysis

For those familiar with shrinkage analyses and cross validation of prediction equations in multiple regression, these procedures and suggestions will perhaps feel familiar. Replicability analyses in EFA (e.g., Thompson, 2004) can be conducted in two different ways: via internal or external replication. In internal replication, the researcher splits a single data set into two samples via random assignment. In external replication, the researcher uses two separately gathered data sets. In brief, replicability analysis occurs as follows:
  1. EFA is conducted on each sample by extracting a fixed number of factors using a chosen extraction method (i.e., maximum likelihood or PAF) and rotation method (i.e., ...

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