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Analysis 2015-06-04 12:37:28 +0530
= Statsample::Factor::ParallelAnalysis
There are 3 real factors on data
== Principal Component Analysis
Number of factors: 7
Communalities
+----------+---------+------------+--------+
| Variable | Initial | Extraction | % |
+----------+---------+------------+--------+
| v0 | 1.000 | 0.598 | 59.807 |
| v1 | 1.000 | 0.801 | 80.128 |
| v10 | 1.000 | 0.569 | 56.925 |
| v11 | 1.000 | 0.677 | 67.746 |
| v12 | 1.000 | 0.439 | 43.904 |
| v13 | 1.000 | 0.727 | 72.661 |
| v14 | 1.000 | 0.552 | 55.151 |
| v15 | 1.000 | 0.678 | 67.813 |
| v16 | 1.000 | 0.624 | 62.360 |
| v17 | 1.000 | 0.604 | 60.404 |
| v18 | 1.000 | 0.624 | 62.436 |
| v19 | 1.000 | 0.754 | 75.400 |
| v2 | 1.000 | 0.731 | 73.064 |
| v20 | 1.000 | 0.773 | 77.278 |
| v21 | 1.000 | 0.821 | 82.106 |
| v22 | 1.000 | 0.820 | 82.046 |
| v23 | 1.000 | 0.923 | 92.273 |
| v24 | 1.000 | 0.941 | 94.130 |
| v25 | 1.000 | 0.930 | 92.954 |
| v26 | 1.000 | 0.953 | 95.287 |
| v27 | 1.000 | 0.978 | 97.808 |
| v28 | 1.000 | 0.979 | 97.869 |
| v29 | 1.000 | 0.979 | 97.871 |
| v3 | 1.000 | 0.584 | 58.402 |
| v4 | 1.000 | 0.740 | 74.035 |
| v5 | 1.000 | 0.742 | 74.217 |
| v6 | 1.000 | 0.673 | 67.334 |
| v7 | 1.000 | 0.549 | 54.927 |
| v8 | 1.000 | 0.411 | 41.079 |
| v9 | 1.000 | 0.705 | 70.541 |
+----------+---------+------------+--------+
Total Variance Explained
+--------------+---------+---------+---------+
| Component | E.Total | % | Cum. % |
+--------------+---------+---------+---------+
| Component 1 | 12.649 | 42.163% | 42.163 |
| Component 2 | 2.835 | 9.451% | 51.613 |
| Component 3 | 1.626 | 5.421% | 57.035 |
| Component 4 | 1.349 | 4.497% | 61.532 |
| Component 5 | 1.216 | 4.054% | 65.586 |
| Component 6 | 1.119 | 3.730% | 69.316 |
| Component 7 | 1.085 | 3.616% | 72.932 |
| Component 8 | 0.980 | 3.268% | 76.200 |
| Component 9 | 0.824 | 2.747% | 78.947 |
| Component 10 | 0.785 | 2.618% | 81.565 |
| Component 11 | 0.725 | 2.416% | 83.981 |
| Component 12 | 0.699 | 2.330% | 86.311 |
| Component 13 | 0.651 | 2.169% | 88.480 |
| Component 14 | 0.538 | 1.792% | 90.272 |
| Component 15 | 0.457 | 1.524% | 91.797 |
| Component 16 | 0.423 | 1.410% | 93.207 |
| Component 17 | 0.402 | 1.339% | 94.547 |
| Component 18 | 0.321 | 1.068% | 95.615 |
| Component 19 | 0.295 | 0.984% | 96.599 |
| Component 20 | 0.240 | 0.800% | 97.398 |
| Component 21 | 0.222 | 0.740% | 98.138 |
| Component 22 | 0.185 | 0.616% | 98.754 |
| Component 23 | 0.107 | 0.356% | 99.110 |
| Component 24 | 0.098 | 0.326% | 99.436 |
| Component 25 | 0.057 | 0.189% | 99.625 |
| Component 26 | 0.052 | 0.173% | 99.798 |
| Component 27 | 0.033 | 0.110% | 99.908 |
| Component 28 | 0.019 | 0.065% | 99.972 |
| Component 29 | 0.006 | 0.021% | 99.993 |
| Component 30 | 0.002 | 0.007% | 100.000 |
+--------------+---------+---------+---------+
Component matrix
+-----+-------+-------+-------+-------+-------+-------+-------+
| | PC_1 | PC_2 | PC_3 | PC_4 | PC_5 | PC_6 | PC_7 |
+-----+-------+-------+-------+-------+-------+-------+-------+
| v0 | .008 | .642 | .122 | -.027 | .261 | .312 | .066 |
| v1 | -.145 | .101 | -.479 | -.279 | .520 | -.385 | -.210 |
| v10 | .410 | .323 | .295 | -.149 | .238 | -.013 | -.362 |
| v11 | .308 | .034 | -.299 | -.122 | .331 | .460 | .394 |
| v12 | .482 | -.121 | -.192 | .110 | -.067 | .209 | -.308 |
| v13 | .448 | .382 | -.264 | .412 | .057 | -.366 | -.060 |
| v14 | .519 | .288 | -.127 | -.355 | -.198 | .028 | -.130 |
| v15 | .624 | .338 | .206 | .161 | -.143 | .012 | -.291 |
| v16 | .707 | .020 | .159 | .291 | .058 | .065 | .080 |
| v17 | .721 | -.110 | -.249 | -.042 | -.006 | -.044 | -.082 |
| v18 | .765 | -.006 | .122 | -.102 | .078 | .035 | .076 |
| v19 | .820 | -.027 | -.143 | -.059 | -.023 | .099 | -.214 |
| v2 | .131 | .703 | .007 | .085 | -.179 | .420 | .059 |
| v20 | .835 | .014 | .043 | -.044 | -.038 | .032 | .262 |
| v21 | .883 | -.072 | .032 | -.038 | .064 | -.012 | .174 |
| v22 | .898 | -.041 | .018 | .061 | .058 | -.075 | .012 |
| v23 | .946 | -.086 | .036 | -.097 | .014 | -.041 | .083 |
| v24 | .964 | -.065 | .002 | .048 | .011 | -.058 | .040 |
| v25 | .956 | -.048 | -.031 | .009 | -.044 | -.090 | .044 |
| v26 | .965 | -.126 | .024 | -.045 | .031 | .017 | .038 |
| v27 | .974 | -.136 | .036 | -.058 | -.027 | -.071 | .034 |
| v28 | .974 | -.139 | .052 | -.045 | .012 | -.058 | .038 |
| v29 | .975 | -.145 | .047 | -.037 | .002 | -.057 | .033 |
| v3 | -.090 | -.161 | -.687 | .065 | .190 | .140 | .135 |
| v4 | -.072 | .734 | -.055 | -.273 | .039 | -.260 | .222 |
| v5 | .066 | .463 | .128 | .552 | .300 | -.210 | .261 |
| v6 | .017 | .478 | -.203 | -.068 | -.515 | -.283 | .232 |
| v7 | .245 | .527 | .061 | -.293 | .189 | .098 | -.276 |
| v8 | .167 | .185 | -.394 | -.207 | -.383 | .030 | .058 |
| v9 | .267 | .161 | -.463 | .497 | -.118 | .186 | -.313 |
+-----+-------+-------+-------+-------+-------+-------+-------+
Traditional Kaiser criterion (k>1) returns 7 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: 2
Eigenvalues
+----+-----------------+----------------------+--------+-----------+
| n | data eigenvalue | generated eigenvalue | p.95 | preserve? |
+----+-----------------+----------------------+--------+-----------+
| 1 | 12.6488 | 1.9482 | 2.0426 | Yes |
| 2 | 2.8352 | 1.8029 | 1.8892 | Yes |
| 3 | 1.6264 | 1.7055 | 1.8083 | |
| 4 | 1.3492 | 1.6212 | 1.7078 | |
| 5 | 1.2162 | 1.5343 | 1.6195 | |
| 6 | 1.1190 | 1.4597 | 1.5586 | |
| 7 | 1.0847 | 1.3873 | 1.4633 | |
| 8 | 0.9804 | 1.3198 | 1.3579 | |
| 9 | 0.8242 | 1.2639 | 1.3108 | |
| 10 | 0.7853 | 1.2097 | 1.2580 | |
| 11 | 0.7248 | 1.1571 | 1.2002 | |
| 12 | 0.6991 | 1.1072 | 1.1427 | |
| 13 | 0.6506 | 1.0566 | 1.0902 | |
| 14 | 0.5376 | 1.0097 | 1.0522 | |
| 15 | 0.4573 | 0.9611 | 1.0041 | |
| 16 | 0.4231 | 0.9127 | 0.9611 | |
| 17 | 0.4018 | 0.8725 | 0.9004 | |
| 18 | 0.3205 | 0.8256 | 0.8674 | |
| 19 | 0.2951 | 0.7902 | 0.8363 | |
| 20 | 0.2399 | 0.7452 | 0.7848 | |
| 21 | 0.2219 | 0.7063 | 0.7378 | |
| 22 | 0.1849 | 0.6680 | 0.7120 | |
| 23 | 0.1067 | 0.6306 | 0.6696 | |
| 24 | 0.0978 | 0.5933 | 0.6302 | |
| 25 | 0.0566 | 0.5507 | 0.5993 | |
| 26 | 0.0520 | 0.5155 | 0.5522 | |
| 27 | 0.0329 | 0.4733 | 0.5060 | |
| 28 | 0.0194 | 0.4336 | 0.4700 | |
| 29 | 0.0063 | 0.3954 | 0.4309 | |
| 30 | 0.0020 | 0.3425 | 0.3953 | |
+----+-----------------+----------------------+--------+-----------+
Parallel Analysis returns 2 factors to preserve