Exploratory Factor Analysis (EFA) - Part 3 (Kaiser Criterion, Scree Plot, Parallel analysis & MAP) скачать в хорошем качестве

Exploratory Factor Analysis (EFA) - Part 3 (Kaiser Criterion, Scree Plot, Parallel analysis & MAP)

This video explains the strategies can be used to determine the number of factors to be retained in EFA. 5 strategies including theory driven approach, Kaiser Criterion, Scree plot, parallel analysis and Velicer's MAP test were introduced and step-by-step tutorial was provided. Determination of number of factors in EFA is critically important as suboptimal decision can have negative impacts on the later stages of EFA. Kaiser Criterion and Scree plot are the most popular method currently as these are the built-in features in most of the statistical packages but it doesn't mean that these methods are more superior than others. Recent research had criticized the use of these two methods and recommended the use of parallel analysis and MAP test as the latter two provide more accurate and precise results. REFERENCES: Costello, Anna B. and Osborne, Jason (2005) "Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis," Practical Assessment, Research, and Evaluation: Vol. 10 , Article 7 Hoyle, R. H. & Duvall, J. L. (2004). Determining the number of factors in exploratory and confirmatory factor analysis. In The SAGE handbook of quantitative methodology for the social sciences (pp. 302-317). SAGE Publications, Inc., https://www.doi.org/10.4135/978141298... O'Connor, B. P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test. Behavior Research Methods, Instrumentation, and Computers, 32, 396-402.