Factor Analysis Using Spss
Autor: Mikki • September 30, 2017 • 1,674 Words (7 Pages) • 651 Views
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- - - - - - - - - - - - - - - - - - - - - - - - F A C T O R A N A L Y S I S - - - - - - - - - - - - - - - - - - - - - - - -
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
.750
Bartlett's Test of Sphericity
Approx. Chi-Square
629.769
df
153
Sig.
.000
Communalities
Initial
Extraction
How important is the on-road price of a car to you?
1.000
.603
How important is the brand name to you while making a purchase decision?
1.000
.839
What is your view about the engine capacity of car?
1.000
.539
Do the looks and design (interior and exterior) matter to you?
1.000
.613
How important is fuel efficiency of a car ?
1.000
.788
How important are the discount schemes at the time of car purchase?
1.000
.798
What is the significance of a car's resale value?
1.000
.688
What is your view about the after-sales services of your car?
1.000
.472
What is your view about the running and maintenance cost of your car?
1.000
.647
How about convenience features(power steering, power windows, etc) of your car?
1.000
.614
How relevant is the purpose of purchase while buying a car?
1.000
.586
How important is the performance information available when buying a car?
1.000
.639
How important is driving pleasure to you?
1.000
.650
Importance of image of a brand when buying a car?
1.000
.766
Should the car be economical to use?
1.000
.671
How important is the variety in colors of car available?
1.000
.806
How much does the advertisement and marketing affect your decision to buy a car?
1.000
.815
Are the safety features of car important ?
1.000
.669
Extraction Method: Principal Component Analysis.
Factor Analysis
Total Variance Explained
Component
Initial Eigenvalues
Extraction Sums of Squared Loadings
Rotation Sums of Squared Loadings
Total
% of Variance
Cumulative %
Total
% of Variance
Cumulative %
Total
% of Variance
Cumulative %
1
5.402
30.014
30.014
5.402
30.014
30.014
2.603
14.460
14.460
2
1.748
9.710
39.724
1.748
9.710
39.724
2.580
14.334
28.794
3
1.551
8.619
48.343
1.551
8.619
48.343
2.547
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