Exploratory factor analysis/Quiz

Exploratory factor analysis practice quiz

1 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

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 extract from a factor analysis:

	Eigen values and percentage of variance explained by each factor
	Scree plots
	Factor loadings
	All of the above
	None of the above

6 In exploratory factor analysis, how much variance would a good model be likely to explain?

	0 to 25%
	25% to 50%
	50% to 75%
	75% to 100%

7 When a factor loading matrix is rotated, what will be the likely outcome:

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

8 In SPSS, orthogonal rotation in factor analysis is called:

	Oblimin
	Oblimax
	Oblique
	Varimax
	None of the above

9 In SPSS, oblique rotation in factor analysis is called:

	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

Acknowledgments

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