Factor analyse which is a method several dimension that based on among the relations of many variables, more meaningful of variables, apparent and providing interpret as summary (Buyukozturk 2006, 43, Albayrak 2006, 68).

Confirmatory

factor analyses (CFA) were then conducted on the second subsample (n = 660) to investigate whether the structure found with the first subsample was sound.

Nevertheless, if we wish to determine which variables are the most similar or different using the results of the derived principle factors of Varimax technique, it is worth using cluster analysis approach to define similarities and differences among obtained variables more directly by determining the multi-dimensional distances between various groups of variables and then selecting those groups of variables within which the distances are relatively small [11] Since the implantation of

factor analyses helped in reducing the dimensions and minimizing multicollinearity effect in our data, it made it easier to run the cluster analyses.

Factor analyses of several personality instruments showed that Openness and Intellect appeared to be distinctive, while still connected (DeYoung, Quilty, & Peterson, 2007; Johnson, 1994).

Descriptive statistics, exploratory and confirmatory

factor analyses were used for reliability and validity evaluations.

Confirmatory

factor analyses were run for a one-factor model, a two-factor model, and both a one- and two-factor model with correlated errors between items 1 and 2 of the CTDS.

Although the DAS has been widely accepted as a measure of dysfunctional schemas, exploratory

factor analyses (EFA) have yielded mixed results with regard to the number of factors extracted, with most of the studies showing between two-factor and four-factor solutions (e.

Both exploratory

factor analyses (EFA) and confirmatory

factor analyses (CFA) were conducted in this study to clarify and confirm the structure of teachers' Internet self-efficacy and the structure of their information commitments.

They employed

factor analyses revealing five factors for students' attitude toward STEM project based learning indicating students' learning style and preference for studying.

college students' life experiences are patterned differently using exploratory and confirmatory

factor analyses, multiple regression analyses, and group-level comparisons.

A series of

factor analyses have yielded 10 items per each of the 20 facets.

In the validity study, analysis of the validity of the language was done firstly and afterwards exploratory and confirmatory

factor analyses were performed.