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Parallel Analysis: Iteration 0 Parallel Analysis: Iteration 1 Parallel Analysis: Iteration 2 Parallel Analysis: Iteration 3 Parallel Analysis: Iteration 4 Parallel Analysis: Iteration 5 Parallel Analysis: Iteration 6 Parallel Analysis: Iteration 7 Parallel Analysis: Iteration 8 Parallel Analysis: Iteration 9 Parallel Analysis: Iteration 10 Parallel Analysis: Iteration 11 Parallel Analysis: Iteration 12 Parallel Analysis: Iteration 13 Parallel Analysis: Iteration 14 Parallel Analysis: Iteration 15 Parallel Analysis: Iteration 16 Parallel Analysis: Iteration 17 Parallel Analysis: Iteration 18 Parallel Analysis: Iteration 19 Parallel Analysis: Iteration 20 Parallel Analysis: Iteration 21 Parallel Analysis: Iteration 22 Parallel Analysis: Iteration 23 Parallel Analysis: Iteration 24 Parallel Analysis: Iteration 25 Parallel Analysis: Iteration 26 Parallel Analysis: Iteration 27 Parallel Analysis: Iteration 28 Parallel Analysis: Iteration 29 Parallel Analysis: Iteration 30 Parallel Analysis: Iteration 31 Parallel Analysis: Iteration 32 Parallel Analysis: Iteration 33 Parallel Analysis: Iteration 34 Parallel Analysis: Iteration 35 Parallel Analysis: Iteration 36 Parallel Analysis: Iteration 37 Parallel Analysis: Iteration 38 Parallel Analysis: Iteration 39 Parallel Analysis: Iteration 40 Parallel Analysis: Iteration 41 Parallel Analysis: Iteration 42 Parallel Analysis: Iteration 43 Parallel Analysis: Iteration 44 Parallel Analysis: Iteration 45 Parallel Analysis: Iteration 46 Parallel Analysis: Iteration 47 Parallel Analysis: Iteration 48 Parallel Analysis: Iteration 49 Analysis 2016-03-26 02:42:37 +0000 = Statsample::Factor::ParallelAnalysis There are 3 real factors on data == Principal Component Analysis Number of factors: 8 Communalities +----------+---------+------------+--------+ | Variable | Initial | Extraction | % | +----------+---------+------------+--------+ | v0 | 1.000 | 0.718 | 71.814 | | v1 | 1.000 | 0.806 | 80.592 | | v10 | 1.000 | 0.742 | 74.220 | | v11 | 1.000 | 0.672 | 67.184 | | v12 | 1.000 | 0.767 | 76.672 | | v13 | 1.000 | 0.525 | 52.483 | | v14 | 1.000 | 0.613 | 61.319 | | v15 | 1.000 | 0.767 | 76.689 | | v16 | 1.000 | 0.580 | 58.006 | | v17 | 1.000 | 0.614 | 61.435 | | v18 | 1.000 | 0.571 | 57.060 | | v19 | 1.000 | 0.606 | 60.624 | | v2 | 1.000 | 0.745 | 74.486 | | v20 | 1.000 | 0.735 | 73.461 | | v21 | 1.000 | 0.835 | 83.501 | | v22 | 1.000 | 0.874 | 87.361 | | v23 | 1.000 | 0.830 | 82.958 | | v24 | 1.000 | 0.900 | 90.029 | | v25 | 1.000 | 0.930 | 93.029 | | v26 | 1.000 | 0.940 | 94.045 | | v27 | 1.000 | 0.957 | 95.748 | | v28 | 1.000 | 0.975 | 97.489 | | v29 | 1.000 | 0.979 | 97.931 | | v3 | 1.000 | 0.675 | 67.468 | | v4 | 1.000 | 0.676 | 67.614 | | v5 | 1.000 | 0.639 | 63.899 | | v6 | 1.000 | 0.707 | 70.699 | | v7 | 1.000 | 0.702 | 70.152 | | v8 | 1.000 | 0.593 | 59.331 | | v9 | 1.000 | 0.774 | 77.365 | +----------+---------+------------+--------+

Total Variance Explained

+--------------+---------+---------+---------+ | Component | E.Total | % | Cum. % | +--------------+---------+---------+---------+ | Component 1 | 11.635 | 38.784% | 38.784 | | Component 2 | 2.228 | 7.425% | 46.209 | | Component 3 | 1.868 | 6.225% | 52.434 | | Component 4 | 1.781 | 5.936% | 58.371 | | Component 5 | 1.503 | 5.009% | 63.380 | | Component 6 | 1.275 | 4.250% | 67.630 | | Component 7 | 1.149 | 3.830% | 71.460 | | Component 8 | 1.009 | 3.362% | 74.822 | | Component 9 | 0.948 | 3.162% | 77.984 | | Component 10 | 0.813 | 2.709% | 80.692 | | Component 11 | 0.776 | 2.585% | 83.278 | | Component 12 | 0.688 | 2.292% | 85.570 | | Component 13 | 0.584 | 1.945% | 87.515 | | Component 14 | 0.516 | 1.719% | 89.235 | | Component 15 | 0.490 | 1.633% | 90.868 | | Component 16 | 0.454 | 1.512% | 92.380 | | Component 17 | 0.416 | 1.388% | 93.768 | | Component 18 | 0.345 | 1.149% | 94.916 | | Component 19 | 0.322 | 1.073% | 95.990 | | Component 20 | 0.276 | 0.919% | 96.908 | | Component 21 | 0.240 | 0.800% | 97.708 | | Component 22 | 0.206 | 0.685% | 98.394 | | Component 23 | 0.132 | 0.439% | 98.832 | | Component 24 | 0.098 | 0.327% | 99.159 | | Component 25 | 0.095 | 0.315% | 99.475 | | Component 26 | 0.064 | 0.215% | 99.690 | | Component 27 | 0.050 | 0.167% | 99.857 | | Component 28 | 0.030 | 0.100% | 99.957 | | Component 29 | 0.010 | 0.034% | 99.990 | | Component 30 | 0.003 | 0.010% | 100.000 | +--------------+---------+---------+---------+

Component matrix

+-----+-------+-------+-------+-------+-------+-------+-------+-------+ | | PC_1 | PC_2 | PC_3 | PC_4 | PC_5 | PC_6 | PC_7 | PC_8 | +-----+-------+-------+-------+-------+-------+-------+-------+-------+ | v0 | .029 | .599 | .211 | -.365 | -.017 | -.128 | -.379 | .145 | | v1 | -.011 | .431 | .139 | .104 | -.148 | .729 | -.163 | -.096 | | v10 | -.309 | .211 | -.302 | -.367 | -.453 | .220 | .102 | .335 | | v11 | -.386 | .373 | .258 | .394 | -.326 | -.091 | -.001 | .217 | | v12 | -.351 | .063 | .544 | -.128 | .016 | .019 | .567 | -.070 | | v13 | -.450 | .432 | .243 | .120 | .114 | -.130 | -.172 | -.046 | | v14 | -.539 | -.069 | .166 | .273 | .024 | .395 | .018 | .242 | | v15 | -.576 | -.032 | -.210 | .192 | -.494 | .202 | .215 | -.147 | | v16 | -.546 | -.378 | .264 | -.110 | .074 | -.006 | .060 | .218 | | v17 | -.627 | .258 | .005 | .151 | .093 | .131 | -.271 | -.181 | | v18 | -.716 | -.171 | -.084 | .120 | .020 | .049 | -.050 | .045 | | v19 | -.718 | .088 | -.063 | .054 | -.249 | .111 | .007 | .047 | | v2 | -.064 | -.591 | .400 | .197 | -.086 | .126 | -.361 | -.199 | | v20 | -.826 | -.133 | .017 | .069 | .132 | .099 | -.008 | -.053 | | v21 | -.882 | -.147 | .001 | -.034 | .014 | .091 | -.141 | -.081 | | v22 | -.904 | .033 | -.012 | -.147 | .040 | -.149 | -.059 | .078 | | v23 | -.890 | .023 | .109 | -.112 | .085 | -.012 | .041 | -.056 | | v24 | -.924 | .125 | -.011 | -.025 | .097 | -.089 | .101 | .054 | | v25 | -.937 | .054 | -.084 | -.060 | .083 | -.176 | -.006 | -.025 | | v26 | -.961 | -.054 | -.052 | -.028 | .076 | -.061 | .006 | -.022 | | v27 | -.965 | -.016 | -.070 | .006 | .122 | -.048 | .016 | -.058 | | v28 | -.970 | .015 | -.106 | -.009 | .126 | -.070 | .029 | -.012 | | v29 | -.974 | -.007 | -.108 | .002 | .117 | -.057 | .004 | -.035 | | v3 | -.036 | .422 | .209 | -.062 | -.345 | -.231 | .368 | -.374 | | v4 | -.107 | -.546 | .428 | -.164 | -.320 | .069 | .046 | -.217 | | v5 | .010 | .055 | .656 | .203 | .004 | -.067 | .015 | .400 | | v6 | .078 | .131 | .503 | -.612 | .130 | .076 | -.140 | -.115 | | v7 | -.091 | -.236 | .063 | .227 | -.528 | -.439 | -.230 | .240 | | v8 | -.318 | .010 | -.048 | -.248 | -.445 | -.162 | -.337 | -.300 | | v9 | -.203 | -.302 | -.115 | -.713 | -.142 | .164 | .011 | .269 | +-----+-------+-------+-------+-------+-------+-------+-------+-------+

Traditional Kaiser criterion (k>1) returns 8 factors == Parallel Analysis Bootstrap Method: random Uses SMC: No Correlation Matrix type : correlation_matrix Number of variables: 30 Number of cases: 150 Number of iterations: 50 Number or factors to preserve: 4 Eigenvalues +----+-----------------+----------------------+--------+-----------+ | n | data eigenvalue | generated eigenvalue | p.95 | preserve? | +----+-----------------+----------------------+--------+-----------+ | 1 | 11.6353 | 1.9397 | 2.0744 | Yes | | 2 | 2.2275 | 1.7961 | 1.8770 | Yes | | 3 | 1.8675 | 1.6885 | 1.7637 | Yes | | 4 | 1.7809 | 1.6032 | 1.6780 | Yes | | 5 | 1.5027 | 1.5281 | 1.5856 | | | 6 | 1.2750 | 1.4573 | 1.5253 | | | 7 | 1.1491 | 1.3892 | 1.4417 | | | 8 | 1.0086 | 1.3263 | 1.3981 | | | 9 | 0.9485 | 1.2711 | 1.3060 | | | 10 | 0.8126 | 1.2174 | 1.2501 | | | 11 | 0.7756 | 1.1585 | 1.2080 | | | 12 | 0.6877 | 1.1053 | 1.1429 | | | 13 | 0.5836 | 1.0553 | 1.0955 | | | 14 | 0.5158 | 1.0083 | 1.0468 | | | 15 | 0.4899 | 0.9635 | 1.0054 | | | 16 | 0.4537 | 0.9161 | 0.9573 | | | 17 | 0.4164 | 0.8739 | 0.9153 | | | 18 | 0.3446 | 0.8270 | 0.8561 | | | 19 | 0.3220 | 0.7909 | 0.8310 | | | 20 | 0.2756 | 0.7524 | 0.7944 | | | 21 | 0.2400 | 0.7086 | 0.7465 | | | 22 | 0.2056 | 0.6678 | 0.7227 | | | 23 | 0.1316 | 0.6309 | 0.6700 | | | 24 | 0.0982 | 0.5889 | 0.6263 | | | 25 | 0.0946 | 0.5534 | 0.5885 | | | 26 | 0.0645 | 0.5173 | 0.5562 | | | 27 | 0.0501 | 0.4795 | 0.5195 | | | 28 | 0.0300 | 0.4405 | 0.4791 | | | 29 | 0.0101 | 0.3978 | 0.4305 | | | 30 | 0.0029 | 0.3470 | 0.3938 | | +----+-----------------+----------------------+--------+-----------+

Parallel Analysis returns 4 factors to preserve