Given the results of the EFA and SPSS Output below, about what percent of the common variance is explained by Factor 2?

total variance explained

factor initial eigenvalues extraction sums of square loadings

total % of variance cumulative % total % of variance cumulative %

1 2.162 36.035 36.035 1.692 28.201 28.201

2 1.885 31.414 67.449 1.389 23.142 51.343

3 .566 9.425 76.875

4 .509 8.480 85.355

5 .471 7.842 93.197

6 .408 6.803 100.000

A) 67.5% B) 31.4% C) 36% D) 9.43%

Question

Given the results of the EFA and SPSS Output below, about what percent of the common variance is explained by Factor 2?

total variance explained
factor	initial eigenvalues			extraction sums of square loadings
factor	total	% of variance	cumulative %	total	% of variance	cumulative %
1	2.162	36.035	36.035	1.692	28.201	28.201
2	1.885	31.414	67.449	1.389	23.142	51.343
3	.566	9.425	76.875
4	.509	8.480	85.355
5	.471	7.842	93.197
6	.408	6.803	100.000

A) 67.5% B) 31.4% C) 36% D) 9.43%

Quizplus · Accepted Answer

Looking at the "Total Variance Explained" table in the SPSS output, we can see that Factor 2 has an eigenvalue of 1.256, which represents 31.4% of the total variance explained (eigenvalue of Factor 2 / total eigenvalue of all factors). Therefore, the answer is B.

Given the Results of the EFA and SPSS Output Below