التحليل الموازي لتقدير عدد العوامل في التحليل العاملي الاستكشافي

Abstract EN

One of the most important decisions that can be made in the use of factor analysis is the number of factors to retain.

Numerous studies have consistently shown that Horn's parallel analysis is the most nearly accurate methodology for determining the number of factors to retain in an exploratory factor analysis.

Horn based his original procedure on the average eigenvalues derived from this set of distributions.

Parallel analysis enables researchers to have a high degree of confidence of the number of factors to extract..