Keywords: PANAS, Positive affect, Negative affect, exploratory

factor analysis, Confirmatory

factor analysis.

In order to define new convergence criteria for cluster analysis, we applied

factor analysis to cross-sectional data of 28 EU members from 2014.

The introduction describes the purpose of the book as, "to provide clinicians and researchers practical understanding of the complex statistical procedures involved in

factor analysis.

Factor analysis criteria make the content variance of the objects between partitions as high as possible and the style variance of the objects within a partition as low as possible.

Doloi (2009) applied

factor analysis to identify the prominent factors that influence contractors' performance in construction projects.

The principal

factor analysis method explained by Harman [6] was followed in the extraction of the factor loadings.

Similarly, although the exploratory

factor analysis has provided a seven-factor structure, studies that have evaluated the psychometric properties of the MBI with other populations show a greater number of factors than the original version (13,14,15) by this same method.

There are various types of

factor analysis and principal components analysis (PCA) has been mostly used by the researchers.

Key words:

Factor Analysis Scores, Milk yield, Udder trait, Stepwise Regression, Regression Tree, Saanen Goat.

One of the most effective methods to remove the problem is to use

factor analysis scores for multiple regression analysis in different species as reported by many authors (Keskin et al.

Analyze the construct validity obtained from confirmatory

factor analysis, comparing it to the validity obtained from the initial exploratory

factor analysis.

To summarize data,

factor analysis desires dimension that, when interpreted and understood, describes data in terms of a much smaller number of items than do the individual variables.

To analyze such information of different regions, regarding multivariate nature of data, it is appropriate to use statistical multivariate techniques such as Principal Component Analysis (PCA),

Factor Analysis (FA), Cluster Analysis (CA), etc.

The PAS was then analyzed using Cronbach's alpha reliability coefficient and Comrey's minimum residual

factor analysis with tandem criteria rotation (Comrey, 1962, Comrey, 1967, Comrey & Lee, 1992).

Factor analysis is a mathematical model which attempts to reduce a large number of inter-correlated variables to a smaller number of unobserved and uncorrelated latent factors or dimensions.