Exploratory factor analysis/Quiz

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Exploratory factor analysis practice quiz

1. A statistical technique for studying interrelationships among variables, usually for the purposes of data reduction and the discovery of underlying constructs or latent dimensions is known as:

Multiple regression
Factor analysis
Discriminant analysis
Canonical correlation analysis

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

Factor loadings
Communalities
Eigen values
Beta coefficients

3. 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
None of the above

4. If a researcher wanted to determine which variables were associated with which factors s/he would look at:

Factor scores
Factor loadings
Factors
Factor associations
None of the above

5. Which of the following can be used to determine how many factors to take from a factor analysis:

Eigen values
Scree plots
Percentage of variance
All of the above
None of the above

6. In exploratory factor analysis, the percentage of variance criteria specifies that the number of factors to be extracted is determined by the cumulative percentage of variance extracted reaching a satisfactory level. This level should be at least:

30%
50%
70%
90%
100%

7. If a researcher uses factor rotation in a factor analysis, what will be the likely outcome:

The pattern of loadings changes and the total variance explained by the factors remains the same.
The pattern of loadings stays the same and the total variance explained by the factors remains the same.
The pattern of loadings changes and the total variance explained by the factors changes also.
The pattern of loadings stays the same and the total variance explained by the factors changes.

8. Which of the following is an orthogonal rotation in factor analysis:

Oblimin
Oblimax
Oblique
Varimax
None of the above

9. Which of the following is an oblique rotation in factor analysis:

Oblimin
Oblimax
Orthogonal
Varimax
None of the above

10. The total of all eigen values will equal:

1
50
100
The number of variables in the analysis
Impossible to tell without further information

Your score is 0 / 0

Acknowledgments

Many of these questions are based on items from http://www.johnwiley.com.au/highered/mr2e/content017/ch15/mc_ch15_aak07.html

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