Luận văn Thạc sĩ Kinh tế: Giải pháp hoàn thiện hoạt động marketing cho sản phẩm sơn tại Công ty cổ phần L.Q JOTON
2,977
308
117
Phân tích nhân tố KMO và EFA
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy.
.719
Bartlett's Test of
Sphericity
Approx. Chi-Square
2.005E3
df
378
Sig.
.000
Total Variance Explained
Co
mpo
nent
Initial Eigenvalues
Extraction Sums of Squared
Loadings
Rotation Sums of Squared
Loadings
Total
% of
Varianc
e
Cumula
tive %
Total
% of
Variance
Cumulati
ve %
Total
% of
Variance
Cumulative
%
1
3.907
13.954
13.954
3.907
13.954
13.954
3.414
12.192
12.192
2
3.329
11.888
25.842
3.329
11.888
25.842
3.050
10.894
23.086
3
3.070
10.966
36.807
3.070
10.966
36.807
2.696
9.627
32.714
4
2.666
9.523
46.331
2.666
9.523
46.331
2.639
9.424
42.138
5
2.352
8.400
54.730
2.352
8.400
54.730
2.552
9.113
51.251
6
2.030
7.250
61.980
2.030
7.250
61.980
2.497
8.918
60.169
7
1.782
6.364
68.344
1.782
6.364
68.344
2.289
8.175
68.344
8
.844
3.014
71.357
9
.738
2.636
73.993
10
.681
2.433
76.427
11
.642
2.294
78.721
12
.610
2.180
80.900
13
.561
2.004
82.904
14
.502
1.794
84.699
15
.443
1.582
86.281
16
.433
1.547
87.828
17
.408
1.456
89.283
18
.379
1.355
90.638
19
.359
1.281
91.919
20
.335
1.195
93.114
21
.306
1.092
94.206
22
.305
1.091
95.297
23
.283
1.011
96.308
24
.243
.870
97.178
25
.235
.838
98.016
26
.219
.781
98.796
27
.181
.646
99.442
28
.156
.558
100.000
Total Variance Explained
Co
mpo
nent
Initial Eigenvalues
Extraction Sums of Squared
Loadings
Rotation Sums of Squared
Loadings
Total
% of
Varianc
e
Cumula
tive %
Total
% of
Variance
Cumulati
ve %
Total
% of
Variance
Cumulative
%
1
3.907
13.954
13.954
3.907
13.954
13.954
3.414
12.192
12.192
2
3.329
11.888
25.842
3.329
11.888
25.842
3.050
10.894
23.086
3
3.070
10.966
36.807
3.070
10.966
36.807
2.696
9.627
32.714
4
2.666
9.523
46.331
2.666
9.523
46.331
2.639
9.424
42.138
5
2.352
8.400
54.730
2.352
8.400
54.730
2.552
9.113
51.251
6
2.030
7.250
61.980
2.030
7.250
61.980
2.497
8.918
60.169
7
1.782
6.364
68.344
1.782
6.364
68.344
2.289
8.175
68.344
8
.844
3.014
71.357
9
.738
2.636
73.993
10
.681
2.433
76.427
11
.642
2.294
78.721
12
.610
2.180
80.900
13
.561
2.004
82.904
14
.502
1.794
84.699
15
.443
1.582
86.281
16
.433
1.547
87.828
17
.408
1.456
89.283
18
.379
1.355
90.638
19
.359
1.281
91.919
20
.335
1.195
93.114
21
.306
1.092
94.206
22
.305
1.091
95.297
23
.283
1.011
96.308
24
.243
.870
97.178
25
.235
.838
98.016
26
.219
.781
98.796
27
.181
.646
99.442
Component Matrix
a
Component
1
2
3
4
5
6
7
PP5
-.704
.393
PP1
-.651
.406
.303
PP2
-.618
.403
PP3
-.611
.487
QT4
.580
.410
-.394
PP4
-.529
.516
QT2
.522
.369
-.371
-.458
QT3
.496
.469
-.356
-.397
QT1
.492
.392
-.330
-.455
CT2
.460
.332
.375
CN3
.476
.426
CN1
.446
-.333
.367
-.419
GC3
.343
-.630
.347
GC2
-.624
.401
GC4
-.621
.381
GC1
-.598
CT1
.423
.428
.309
.420
CN2
.373
.501
-.421
CS3
.388
.475
-.356
.426
CN4
.436
.451
-.349
SP1
-.325
.607
SP2
.367
-.401
.533
-.334
SP4
-.508
.530
SP3
-.378
.449
CT3
.405
.303
.533
CT4
.427
.302
.310
.453
CS2
.434
.381
.539
CS1
.486
.344
.505
Extraction Method: Principal Component Analysis.
Component Matrix
a
Component
1
2
3
4
5
6
7
PP5
-.704
.393
PP1
-.651
.406
.303
PP2
-.618
.403
PP3
-.611
.487
QT4
.580
.410
-.394
PP4
-.529
.516
QT2
.522
.369
-.371
-.458
QT3
.496
.469
-.356
-.397
QT1
.492
.392
-.330
-.455
CT2
.460
.332
.375
CN3
.476
.426
CN1
.446
-.333
.367
-.419
GC3
.343
-.630
.347
GC2
-.624
.401
GC4
-.621
.381
GC1
-.598
CT1
.423
.428
.309
.420
CN2
.373
.501
-.421
CS3
.388
.475
-.356
.426
CN4
.436
.451
-.349
SP1
-.325
.607
SP2
.367
-.401
.533
-.334
SP4
-.508
.530
SP3
-.378
.449
CT3
.405
.303
.533
CT4
.427
.302
.310
.453
CS2
.434
.381
.539
CS1
.486
.344
.505
a. 7 components extracted.
Rotated Component Matrix
a
Component
1
2
3
4
5
6
7
PP1
.851
PP5
.839
PP3
.823
PP2
.817
PP4
.725
QT2
.878
QT3
.868
QT1
.841
QT4
.836
CT1
.832
CT4
.811
CT3
.809
CT2
.770
GC2
.812
GC3
.804
GC4
.803
GC1
.741
CN1
.807
CN2
.793
CN4
.773
CN3
.743
SP2
.829
SP4
.810
SP1
.753
SP3
.688
CS2
.869
CS1
.843
CS3
.839
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser
Normalization.
Rotated Component Matrix
a
Component
1
2
3
4
5
6
7
PP1
.851
PP5
.839
PP3
.823
PP2
.817
PP4
.725
QT2
.878
QT3
.868
QT1
.841
QT4
.836
CT1
.832
CT4
.811
CT3
.809
CT2
.770
GC2
.812
GC3
.804
GC4
.803
GC1
.741
CN1
.807
CN2
.793
CN4
.773
CN3
.743
SP2
.829
SP4
.810
SP1
.753
SP3
.688
CS2
.869
CS1
.843
CS3
.839
a. Rotation converged in 6
iterations.