Hướng dẫn phân tích định lượng trong nghiên cứu khoa học với chương trình MBA- Tài liệu tham khảo | Đại học Hoa Sen

Bootstrap Specifications Sampling Method Simple Number of Samples 1000 Confidence Interval Level 95.0% Confidence Interval Type Percentile Descriptive Statistics Statistic Std. Error Bootstrapa Bias Std. Error 95% Confidence Interval Lower Upper N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C1 Sum 374 Mean 3.78 .123 .00 .12 3.54 4.01 Std. Deviation 1.225 -.010 .077 1.064 1.363 Variance 1.501 -.017 .186 1.133 1.859 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C2 Sum 375 Mean 3.79 .100 .00 .10 3.59 3.98 Std. Deviation .993 -.013 .077 .834 1.126 Variance .985 -.020 .151 .696 1.267 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C3 Sum 379 Mean 3.83 .110 .00 .11 3.61 4.03 Std. Deviation 1.098 -.010 .064 .962 1.212 Variance 1.205 -.018 .139 .926 1.469 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C4 Sum 370 Mean 3.74 .112 .00 .11 3.52 3.95 Std. Deviation 1.112 -.009 .065 .968 1.226 Variance 1.236 -.017 .144 .937 1.504 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C5 Sum 374 Mean 3.78 .104 .00 .10 3.58 3.96 Std. Deviation 1.036 -.009 .064 .900 1.150 Variance 1.073 -.015 .131 .811 1.323 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C6 Sum 349 Mean 3.53 .116 .00 .12 3.28 3.76 Std. Deviation 1.155 -.009 .063 1.023 1.271 Variance 1.334 -.017 .144 1.047 1.615 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C7 Sum 356 Mean 3.60 .118 .00 .12 3.36 3.82 Std. Deviation 1.177 -.011 .067 1.033 1.304 Variance 1.386 -.021 .157 1.067 1.699 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C8 Sum 363 Mean 3.67 .119 .00 .12 3.42 3.90 Std. Deviation 1.187 -.012 .073 1.028 1.313 Variance 1.408 -.023 .171 1.058 1.724 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C9 Sum 366 Mean 3.70 .125 .00 .12 3.45 3.95 Std. Deviation 1.241 -.010 .075 1.077 1.375 Variance 1.540 -.020 .185 1.160 1.889 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C10 Sum 365 Mean 3.69 .118 .00 .12 3.45 3.91 Std. Deviation 1.175 -.009 .064 1.037 1.290 Variance 1.381 -.016 .150 1.075 1.665 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C11 Sum 361 Mean 3.65 .112 .00 .11 3.42 3.87 Std. Deviation 1.109 -.009 .068 .969 1.222 Variance 1.231 -.015 .149 .940 1.493 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C12 Sum 369 Mean 3.73 .118 .00 .12 3.48 3.95 Std. Deviation 1.176 -.009 .075 1.014 1.304 Variance 1.384 -.015 .174 1.028 1.701 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C13 Sum 369 Mean 3.73 .113 .00 .11 3.51 3.94 Std. Deviation 1.123 -.009 .072 .970 1.256 Variance 1.262 -.015 .160 .941 1.577 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C14 Sum 374 Mean 3.78 .114 .00 .11 3.55 4.00 Std. Deviation 1.139 -.011 .068 .993 1.256 Variance 1.297 -.021 .153 .987 1.578 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C15 Sum 380 Mean 3.84 .115 .00 .12 3.61 4.06 Std. Deviation 1.149 -.009 .074 .988 1.284 Variance 1.321 -.015 .168 .976 1.649 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C16 Sum 374 Mean 3.78 .115 .00 .11 3.55 4.00 Std. Deviation 1.148 -.010 .077 .983 1.288 Variance 1.317 -.017 .175 .967 1.660 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C17 Sum 374 Mean 3.78 .112 .00 .11 3.56 3.99 Std. Deviation 1.112 -.009 .080 .938 1.256 Variance 1.236 -.013 .176 .880 1.578 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C18 Sum 384 Mean 3.88 .113 .00 .11 3.66 4.09 Std. Deviation 1.127 -.011 .088 .930 1.280 Variance 1.271 -.017 .195 .865 1.638 N 99 0 0 99 99 Range 4 Minimum 1 Maximum 5 C19 Sum 371 Mean 3.75 .117 .00 .12 3.52 3.96 Std. Deviation 1.164 -.008 .070 1.014 1.288 Variance 1.354 -.014 .162 1.028 1.659 Valid N (listwise) N 99 0 0 99 99
a. Unless otherwise noted, bootstrap results are based on 1000 bootstrap samples Scale: ALL VARIABLES Case Processing Summary N % Valid 99 100.0 Cases Excludeda 0 .0 Total 99 100.0
a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items .977 19 Item-Total Statistics Scale Mean if Item Scale Variance if Corrected Item- Cronbach's Alpha Deleted Item Deleted Total Correlation if Item Deleted C1 67.20 298.306 .750 .976 C2 67.19 302.810 .803 .976 C3 67.15 300.660 .780 .976 C4 67.24 298.839 .819 .976 C5 67.20 301.102 .817 .976 C6 67.45 297.026 .834 .975 C7 67.38 296.708 .825 .976 C8 67.31 295.401 .852 .975 C9 67.28 295.613 .806 .976 C10 67.29 295.862 .849 .975 C11 67.33 298.061 .842 .975 C12 67.25 295.436 .859 .975 C13 67.25 297.599 .844 .975 C14 67.20 298.714 .801 .976 C15 67.14 295.694 .874 .975 C16 67.20 297.612 .824 .976 C17 67.20 298.469 .829 .976 C18 67.10 300.092 .773 .976 C19 67.23 297.078 .826 .976 Scale: ALL VARIABLES Case Processing Summary N % Valid 99 100.0 Cases Excludeda 0 .0 Total 99 100.0
a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items .977 19 Item-Total Statistics Scale Mean if Item Scale Variance if Corrected Item- Cronbach's Alpha Deleted Item Deleted Total Correlation if Item Deleted C1 67.20 298.306 .750 .976 C2 67.19 302.810 .803 .976 C3 67.15 300.660 .780 .976 C4 67.24 298.839 .819 .976 C5 67.20 301.102 .817 .976 C6 67.45 297.026 .834 .975 C7 67.38 296.708 .825 .976 C8 67.31 295.401 .852 .975 C9 67.28 295.613 .806 .976 C10 67.29 295.862 .849 .975 C11 67.33 298.061 .842 .975 C12 67.25 295.436 .859 .975 C13 67.25 297.599 .844 .975 C14 67.20 298.714 .801 .976 C15 67.14 295.694 .874 .975 C16 67.20 297.612 .824 .976 C17 67.20 298.469 .829 .976 C18 67.10 300.092 .773 .976 C19 67.23 297.078 .826 .976 KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .950 Approx. Chi-Square 2112.549 Bartlett's Test of Sphericity df 171 Sig. .000 Communalities Initial Extraction C1 1.000 .601 C2 1.000 .680 C3 1.000 .646 C4 1.000 .706 C5 1.000 .702 C6 1.000 .726 C7 1.000 .713 C8 1.000 .752 C9 1.000 .682 C10 1.000 .750 C11 1.000 .740 C12 1.000 .767 C13 1.000 .742 C14 1.000 .677 C15 1.000 .793 C16 1.000 .712 C17 1.000 .718 C18 1.000 .635 C19 1.000 .716 Extraction Method: Principal Component Analysis.
Total Variance Explained Component Initial Eigenvalues
Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative % 1 13.457 70.828 70.828 13.457 70.828 70.828 2 .869 4.573 75.400 3 .737 3.877 79.278 4 .578 3.043 82.321 5 .542 2.851 85.172 6 .366 1.924 87.096 7 .357 1.877 88.974 8 .319 1.680 90.653 9 .289 1.521 92.175 10 .254 1.336 93.511 11 .228 1.198 94.708 12 .205 1.079 95.787 13 .152 .802 96.589 14 .143 .754 97.343 15 .131 .691 98.034 16 .109 .573 98.608 17 .105 .551 99.159 18 .089 .466 99.625 19 .071 .375 100.000
Extraction Method: Principal Component Analysis. Component Matrixa Component 1 C15 .890 C12 .876 C8 .867 C10 .866 C13 .861 C11 .860 C6 .852 C17 .847 C19 .846 C7 .845 C16 .844 C4 .840 C5 .838 C9 .826 C2 .825 C14 .823 C3 .804 C18 .797 C1 .775 Extraction Method: Principal Component Analysis. a. 1 components extracted.