Factor Analysis

A multivariate statistical technique for studying interrelationships among variables, usually for discovering underlying constructs or data reduction is known as:

• Multiple regression

• Factor analysis

• Discriminant analysis

• Canonical correlation analysis

In SPSS, orthogonal rotation in factor analysis is called:

• Oblimin

• Oblimax

• Oblique

• Varimax

To determine which variables relate to which factors, a researcher would use:

• Factor loadings

• Communalities

• Eigen values

• Beta coefficients

If a researcher wants to determine the amount of variance in the original variables that is associated with a factor, s/he would use:

• Factor loadings

• Communalities

• Eigen values

• Beta coefficients

Each new variable created in a factor analysis is called a

• Factor

• Indicator

• Vector

• Design

In which kind of factor analysis does the researcher have a priori knowledge of the number and nature of the factors?

• Exploratory factor analysis

• Confirmatory factor analysis

Which is the statistics techniques suitable for checking the Sampling adequacy?

• KMO

• PCA

• CFA

• EFA

The techniques of "maximum likelihood," "principal components analysis," and "principal axis factoring" are different options for doing what?

• Extracting factors

• Rotating factors

• Naming factors

• Revising factors

Which of the following is not the part of the exploratory factor analysis process?

• Extracting factors

• Determining the number of factors before the analysis

• Rotating the factors

• Refining and interpreting the factors

Select the correct SPSS path of Factor analysis

• Analyse --Factor Analysis--Factor

• Analyse --Classify --Factor

• Analyse --Dimension Reduction --Factor

• Analyse --Scale --Factor