The results below pertain to a test conducted to investigate how a group of items in a survey are cab be reduced into a lesser number of condensed constructs. You are required to identify the test, interpret the results and report them in an academic
The results below pertain to a test conducted to investigate how a group of items in a survey are cab be reduced into a lesser number of condensed constructs. You are required to identify the test, interpret the results and report them in an academic
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
The results below pertain to a test conducted to investigate how a group of items in a survey are cab be reduced into a lesser number of condensed constructs. You are required to identify the test, interpret the results and report them in an academic style. You must discuss the assumptions that come with the results of this test. In other words, you are not required to discuss the assumptions that should be checked before the test.

Transcribed Image Text:Component
1
2
3
4
5
6
7
8
9
10
4.247
1.134
.935
.732
.676
.600
.516
481
381
298
Extraction Method: Principal Component Analysis.
Component Matrix
Component
q1a
q2a
q3a
q4a
q5a
q6a
q7a
q8a
q9a
Total
1
451
.547
628
.763
.811
.752
.695
.692
q10a
.692
Extraction Method: Principal
Component Analysis.
a. 2 components
extracted.
1
2
Rotated Component
Matrix
Component
.601
488
846
.822
.625
532
802
q1a
q2a
q3a
q4a
q5a
q6a
q7a
q8a
q9a
q10a
.636
Extraction Method: Principal
Component Analysis.
Rotation Method: Varimax
Initial Eigenvalues
% of Variance Cumulative %
2
749
.705
473
42.465
11.339
9.353
7.320
6.765
5.995
5.164
4.807
3.808
2.984
459
461
42.465
53.804
63.157
70.477
77.242
83.237
88.401
93.208
97.016
100.000
Total Variance Explained
Extraction Sums of Squared Loadings
Total
% of Variance Cumulative %
4.247
1.134
42.465
11.339
42.465
53.804
Rotation Sums of Squared Loadings
Total
% of Variance Cumulative %
33.612
20.192
3.361
2.019
33.612
53.804

Transcribed Image Text:Correlation q1a
q2a
q3a
q4a
q1a
q2a
q3a
q4a
q5a
q6a
q5a
q6a
q7a
q8a
q7a
q8a
q9a
q10a
q1a
Communalities
1.000
374
244
188
275
340
264
151
171
195
Initial Extraction
1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
q9a
1.000
q10a
1.000
Extraction Method: Principal
Component Analysis.
df
Sig.
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of
Approx. Chi-Square
Sphericity
q2a
565
538
421
.723
723
566
493
220
644
487
374
1.000
.346
272
289
320
379
125
238
347
q3a
.244
.346
1.000
342
412
.411
.421
198
.369
325
Correlation Matrix
q4a
q5a
.188
272
342
1.000
.676
540
.431
,133
.585
471
.885
1592.443
45
<.001
275
289
412
.676
1.000
.548
441
233
591
539
q6a
340
320
411
540
548
1.000
491
219
412
.436
q7a
264
.379
421
431
441
.491
1.000
178
.385
411
q8a
.151
125
.198
.133
.233
219
.178
1.000
.078
220
q9a
171
238
.369
.585
.591
412
385
.078
1.000
.408
q10a
195
347
325
471
539
.436
411
220
408
1.000
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