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 | 5,772 | 28,858 | 28,858 | 5,772 | 28,858 | 28,858 | 3,218 | 16,092 | 16,092 |
2 | 2,945 | 14,724 | 43,582 | 2,945 | 14,724 | 43,582 | 2,765 | 13,827 | 29,919 |
3 | 2,056 | 10,279 | 53,862 | 2,056 | 10,279 | 53,862 | 2,593 | 12,967 | 42,885 |
4 | 1,390 | 6,951 | 60,812 | 1,390 | 6,951 | 60,812 | 2,477 | 12,387 | 55,272 |
5 | 1,141 | 5,707 | 66,519 | 1,141 | 5,707 | 66,519 | 2,249 | 11,247 | 66,519 |
6 | ,840 | 4,201 | 70,720 | ||||||
7 | ,707 | 3,537 | 74,257 | ||||||
8 | ,678 | 3,388 | 77,645 | ||||||
9 | ,631 | 3,156 | 80,801 | ||||||
10 | ,565 | 2,824 | 83,625 | ||||||
11 | ,542 | 2,709 | 86,334 | ||||||
12 | ,468 | 2,339 | 88,673 | ||||||
13 | ,406 | 2,032 | 90,705 | ||||||
14 | ,361 | 1,804 | 92,509 | ||||||
15 | ,335 | 1,676 | 94,185 | ||||||
16 | ,297 | 1,485 | 95,670 | ||||||
17 | ,252 | 1,258 | 96,928 | ||||||
18 | ,222 | 1,112 | 98,041 | ||||||
19 | ,210 | 1,049 | 99,090 | ||||||
20 | ,182 | ,910 | 100,000 | ||||||
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Maraj Rehman Sofi, Iqbal Ahmad Hakim And Mohd Rafiq (2014), “Service Quality Variables And Tourist Satisfaction At Destination Level – A Study Of J&k Tourism”, International Journal Of -
The Meaning of Improving Tour Service Quality
Extraction Method: Principal Component Analysis.
Rotated Component Matrix a
Component | |||||
1 | 2 | 3 | 4 | 5 | |
HH1 | ,832 | ||||
HH4 | ,805 | ||||
HH2 | ,790 | ||||
HH3 | ,727 | ||||
HH5 | ,708 | ||||
DU2 | ,824 | ||||
DU1 | ,780 | ||||
DU3 | ,743 | ||||
DU4 | ,659 | ||||
SDC4 | ,880 | ||||
SDC2 | ,845 | ||||
SDC3 | ,638 | ||||
SDC1 | ,602 | ||||
DTC4 | ,863 | ||||
DTC3 | ,830 | ||||
DTC1 | ,688 | ||||
DTC2 | ,515 | ||||
SDB3 | ,837 | ||||
SDB2 | ,757 | ||||
SDB1 | ,709 | ||||
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 7 iterations.
APPENDIX 6: LINEAR REGRESSION ANALYSIS
Correlations
SHL | DTC | DU | SDB | SDC | HH | ||
SHL | 1,000 | ,447 | ,695 | ,648 | ,524 | ,444 | |
DTC | ,447 | 1,000 | ,307 | ,330 | ,415 | ,001 | |
DU | ,695 | ,307 | 1,000 | ,538 | ,403 | ,310 | |
Pearson Correlation | SDB | ,648 | ,330 | ,538 | 1,000 | ,270 | ,178 |
SDC | ,524 | ,415 | ,403 | ,270 | 1,000 | ,297 | |
HH | ,444 | ,001 | ,310 | ,178 | ,297 | 1,000 | |
SHL | . | ,000 | ,000 | ,000 | ,000 | ,000 | |
DTC | ,000 | . | ,001 | ,000 | ,000 | ,495 | |
Sig. (1-tailed) | DU SDB | ,000 ,000 | ,001 ,000 | . ,000 | ,000 . | ,000 ,003 | ,001 ,034 |
SDC | ,000 | ,000 | ,000 | ,003 | . | ,001 | |
HH | ,000 | ,495 | ,001 | ,034 | ,001 | . | |
SHL | 106 | 106 | 106 | 106 | 106 | 106 | |
N | DTC | 106 | 106 | 106 | 106 | 106 | 106 |
DU | 106 | 106 | 106 | 106 | 106 | 106 |
SDB
106 | 106 | 106 | 106 | 106 | 106 | |
SDC | 106 | 106 | 106 | 106 | 106 | 106 |
HH | 106 | 106 | 106 | 106 | 106 | 106 |
Model Summary b
Model
R | R Square | Adjusted R Square | Std. Error of the Estimate | Durbin-Watson | |
1 | , 841a | ,707 | ,692 | ,34082 | 1,736 |
a. Predictors: (Constant), HH, DTC, SDB, SDC, DU
b. Dependent Variable: SHL
ANOVA a
Model
Sum of Squares | df | Mean Square | F | Sig. | ||
Regression | 27,986 | 5 | 5,597 | 48,185 | ,000 b | |
1 | Residual | 11,616 | 100 | ,116 | ||
Total | 39,602 | 105 |
a. Dependent Variable: SHL
b. Predictors: (Constant), HH, DTC, SDB, SDC, DU
Coefficients a
Model
Unstandardized Coefficients | Standardize and Coefficient S | t | Sig. | 95.0% Confidence Interval for B | Collinearity Statistics | |||||
B | Std. Error | Beta | Lower Bound | Upper Bound | tolerance | VIF | ||||
(Constant) | -,768 | ,328 | -2,343 | ,021 | -1,418 | -,118 | ||||
DTC | ,177 | ,066 | ,169 | 2,702 | ,008 | ,047 | ,308 | ,747 | 1,339 | |
1 | DU | ,303 | ,064 | ,327 | 4,715 | ,000 | ,175 | ,430 | ,611 | 1,638 |
SDB | ,304 | ,060 | ,331 | 5,042 | ,000 | ,184 | ,423 | ,680 | 1,471 | |
SDC | ,186 | ,074 | ,162 | 2,503 | ,014 | ,039 | ,333 | ,698 | 1,432 | |
HH | ,233 | ,059 | ,235 | 3,968 | ,000 | ,116 | ,349 | ,838 | 1,194 | |
a. Dependent Variable: SHL
APPENDIX 7: INDEPENDENT SAMPLE T-TEST AND ONE WAY ANOVA
1. Gender
Group Statistics
sex | N | Mean | Std. Deviation | Std. Error Mean | |
male SHL woman | 67 39 | 3,8657 3,8034 | ,62781 ,59588 | ,07670 ,09542 | |
Independent Samples Test
Levene's Test for Equality of Variances | t-test for Equality of Means | ||||||||
F | Sig. | t | df | Sig. (2- tailed) | Mean Difference | Std. Error Difference | 95% Confidence Interval of the Difference | ||
Lower | Upper | ||||||||
Equal variances SHL assumed Equal variances not assumed | ,285 | ,595 | ,501 ,509 | 104 83,016 | ,617 ,612 | ,06225 ,06225 | ,12414 ,12242 | -,18391 -,18124 | ,30842 ,30575 |
2. Age
Descriptions
SHL
N | Mean | Std. Deviation | Std. Error | 95% Confidence Interval for Mean | Minimum | Maximum | ||
Lower Bound | Upper Bound | |||||||
under 20 years old | 9 | 3,8519 | ,37680 | ,12560 | 3.5622 | 4,1415 | 3.33 | 4.33 |
20-35 years old | 53 | 3.8868 | ,66649 | ,09155 | 3,7031 | 4.0705 | 2.00 | 5.00 |
35-50 years old | 36 | 3,8333 | ,59362 | ,09894 | 3.6325 | 4,0342 | 2.00 | 4.67 |
over 50t | 8 | 3,5833 | ,58418 | ,20654 | 3,0949 | 4,0717 | 2.67 | 4.67 |
Total | 106 | 3,8428 | ,61413 | ,05965 | 3.7245 | 3,9610 | 2.00 | 5.00 |
Test of Homogeneity of Variances
SHL
Levene Statistic
df1 | df2 | Sig. | |
1,398 | 3 | 102 | ,248 |
3. Occupation
SHL
ANOVA
Sum of Squares | df | Mean Square | F | Sig. | |
Between Groups | ,645 | 3 | ,215 | ,563 | ,641 |
Within Groups | 38,957 | 102 | ,382 | ||
Total | 39,602 | 105 |
Descriptions
SHL
N | Mean | Std. Deviation | Std. Error | 95% Confidence Interval for Mean | Minimum | Maximum | ||
Lower Bound | Upper Bound | |||||||
students, students, civil servants business other general labor Total | 24 53 9 3 9 8 106 | 3,9583 3,8491 3,7407 3,6667 3.8889 3,5833 3,8428 | ,50421 ,64572 ,52116 1.45297 ,52705 ,58418 ,61413 | ,10292 ,08870 ,17372 ,83887 ,17568 ,20654 ,05965 | 3,7454 3,6711 3,3401 ,0573 3,4838 3,0949 3.7245 | 4,1712 4,0270 4,1413 7,2760 4,2940 4,0717 3,9610 | 2.67 2.00 3.00 2.00 3.00 2.67 2.00 | 4.67 5.00 4.67 4.67 4.67 4.67 5.00 |