Exploratory factor analysis: Difference between revisions

Revision as of 20:03, 29 February 2020

Revision as of 20:12, 29 February 2020

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===Ruscio and Roche's comparison data===

In 2012 Ruscio and Roche<ref name =Ruscio/> introduced the comparative data (CD) procedure in an attempt improve upon the PA method. The authors state that "rather than generating random datasets, which only take into account sampling error, multiple datasets with known factorial structures are analyzed to determine which best reproduces the profile of eigenvalues for the actual data" (p.&nbsp;258). The strength of the procedure is its ability to not only incorporate sampling error, but also the factorial structure and multivariate distribution of the items. Ruscio and Roche's (2012) simulation study<ref name =Ruscio/> determined that the CD procedure outperformed many other methods aimed at determining the correct number of factors to retain. In that study, the CD technique, making use of Pearson correlations accurately predicted the correct number of factors 87.14% of the time. AlthoughHowever, the simulated study didnever not involveinvolved more than five factors. Therefore, the applicability of the CD procedure to estimate factorial structures beyond five factors is yet to be tested. Courtney includes this procedure in his recommended list and gives guidelines showing how it can be easily carried out from within SPSS's user interface.<ref name="pareonline.net"/>

===Convergence of multiple tests===