Factor Analysis:

Analyze and interpret the results (use the model as your guide)

Principal Component Analysis Component Loadings Component 1 2 Uniqueness BSF.6.ClassroomVentilation 0.834 0.247 CCI.4. ClassroomClimate 0.801 0.374 0.219 BSF.4.ComputersAndWifi 0.799 0.282 CCI.3.ClassroomEncourages 0.769 0.412 0.239 CC.3.CampusEnvironment 0.743 0.474 0.223 CCI. 1.ClassroomLighting 0.734 0.424 0.281 CC.1.CampusActivities 0.725 0.466 0.258 BSF.5.StateOfTheAVR 0.724 0.388 0.325 CCI.2. MinimumNoise 0.720 0.388 BSF.3.LibraryBooks 0.699 0.471 0.290 CC.2. EventsStimulate 0.698 0.427 0.330 QF.4.RelevantDegree 0.861 0.218 QF.5.PassedLicensureExam 0.336 0.817 .220 BSF.1.BiggerCampus 0.689 0.444 QF.6.ConcernForStudents 0.554 0.648 0.273 BSF.2.WellConstructedBldg 0.472 0.627 0.385 QF.3.NewTeachingTrends 0.555 0.625 0.302 QF.1.IRC 0.464 0.619 0.402 QF.2.TeachingMethodology 0.458 0.598 0.433 Note. 'varimax' rotation was used Component Statistics Summary Component SS Loadings % of Variance Cumulative % 7.70 40.5 40.5 2 5.54 29.2 69.7 Correlation Matrix 1 2 -5.00e-16 2 Assumption Checks\fInitial Eigenvalues Component Eigenvalue % of Variance Cumulative % 12.109 63.731 63.7 N 1.133 5.965 69.7 0.988 5. 199 74.9 UT A W 0.677 3.565 78.5 0.652 3.433 81.9 0.448 2.359 84.3 0.375 1.972 86.2 00 0.363 1.913 88.1 0.337 1.774 89.9 10 0.270 1.423 91.3 0.263 1.385 92.7 0.249 1.310 94.0 w 0.222 1.169 95.2 14 0.192 1.010 96.2 15 0.172 0.906 97.1 16 0.159 0.838 98.0 17 0.146 0.771 98.7 18 0.136 0.715 99.4 19 0.107 0.564 100.0 Scree Plot 12.5 - 10.0 7.5 Eigenvalue 5.0 - 2.5 0.0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 Component