RFAS Algorithm – Let our algorithm power your data

Replicable Factor Analytic Solutions

A factor analysis algorithm designed to selection replicable factor solutions

About RFAS

an algorithm to power your data

The RFAS algorithm was designed to obtain factor structures that follows sound statistical and psychometric practices, examine the factor structure’s replicability, and compare the viability of the solution across EFA and CFA models. The primary functions of the RFAS algorithm are as follows:

Provides analysts with greater evidence that the correct number of factors was selected and a good fitting EFA model is obtainable across subsample
Measures the replicability of an observed variable by testing the selection criteria on subsamples and only selecting observed variables that most commonly appear across subsamples
Provides estimates of the EFA and CFA structure replicability and model fit
Allows the analyst to perform the analysis from start to finish within a single, user-friendly, program in R. The algorithm result is an approximate simple structure (or complex structure if desired) that can be replicated (if not, the algorithm will provide this information also) and meets the factor structure criteria set forth by the analyst

Downloads

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Algorithm

There are four different algorithm files to download. Select the button to download the files.

DOWNLOAD ALGORITHM FILES

Sample Data Files

We’ve provided sample data to use along with the RFAS function. Select the button to download the files.

Replicable Factor Analytic Solutions

About RFAS

Downloads

Algorithm

Sample Data Files

Documentation

In Action