Open outdoor lifestyle data (Outdoor.sav) file. Run factor analysis on following
ID: 3222897 • Letter: O
Question
Open outdoor lifestyle data (Outdoor.sav) file. Run factor analysis on following five variables: the importance attached to enjoying nature, relating to the weather, living in harmony with the environment, exercising regularly, and meeting other people (V2 to V6)· Run rotation if necessary.
1. Interpret (label and explain) the factors extracted.
2. Report factor scores for each respondent.
3. Report and explain the model fit statistics.
Prefer. nature weather enviro exercise oeople sex residents
7 3 6 4 5 2 1 1 1 1 1 2 1 2 1 1 6 2 5 4 4 5 1 1 4 3 4 6 3 2 1 1 1 2 2 3 1 2 1 1 6 3 5 4 6 2 1 1 5 3 4 3 4 5 1 1 6 4 5 4 5 1 1 1 3 3 2 2 2 2 1 1 2 4 2 6 2 2 1 1 6 4 5 3 5 5 1 2 2 3 1 4 2 1 1 2 7 2 6 4 5 6 1 2 4 6 4 5 3 3 1 2 1 3 1 2 1 4 1 2 6 6 6 3 4 5 2 2 5 5 6 4 4 6 2 2 7 7 4 4 7 7 2 2 2 6 3 7 4 3 2 2 3 7 3 6 4 4 2 2 1 5 2 6 3 3 2 3 5 6 4 7 5 6 2 3 2 4 1 5 4 4 2 3 4 7 4 7 4 6 2 3 6 7 4 2 1 7 2 3 3 6 4 6 4 4 2 3 4 7 7 4 2 5 2 3 3 7 2 6 4 3 2 3 4 6 3 7 2 7 2 3 5 6 2 6 7 2 2 3Explanation / Answer
1.
Extraction Method: Principal Component Analysis.
Extraction inkdicates the proportion of each variable's variance that can be explained by retained factors. Variance with high value are well represented in lcommon factor space for example( Nature,Weather and enviro).
b)
c)
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .505
Bartlett's Test of Sphericity Approx. Chi-Square 28.370
df 10
Sig. .002
Conclusion : Since the P-value is 0.002 which is less than 0.05, we will reject null and conclude that there is significant difference between the factors.
Extraction Method: Principal Component Analysis.
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