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Factor Analysis

Total questions: 10

Worksheet time: 10mins

Name
Class
Date
1.

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

a)

Multiple regression

b)

Factor analysis

c)

Discriminant analysis

d)

Canonical correlation analysis

2.

In SPSS, orthogonal rotation in factor analysis is called:

a)

Oblimin

b)

Oblimax

c)

Oblique

d)

Varimax

3.

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

a)

Factor loadings

b)

Communalities

c)

Eigen values

d)

Beta coefficients

4.

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

a)

Factor loadings

b)

Communalities

c)

Eigen values

d)

Beta coefficients

5.

Each new variable created in a factor analysis is called a

a)

Factor

b)

Indicator

c)

Vector

d)

Design

6.

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

a)

Exploratory factor analysis

b)

Confirmatory factor analysis

7.

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

a)

KMO

b)

PCA

c)

CFA

d)

EFA

8.

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

a)

Extracting factors

b)

Rotating factors

c)

Naming factors

d)

Revising factors

9.

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

a)

Extracting factors

b)

Determining the number of factors before the analysis

c)

Rotating the factors

d)

Refining and interpreting the factors

10.

Select the correct SPSS path of Factor analysis

a)

Analyse --Factor Analysis--Factor

b)

Analyse --Classify --Factor

c)

Analyse --Dimension Reduction --Factor

d)

Analyse --Scale --Factor