rotate, varimax horst 1365 Factor analysis/correlation Method: iterated principal factors Rotation: orthogonal varimax (Horst on) Number of obs Retained factors = Number of params 3 33 Factor Variance Difference Proportion Cumulative Factori Factor2 1 Factor31 2.94943 2.65516 1.41524 0.29428 1.23992 0.4202 0.3782 0.2016 0.4202 0.7984 1.0000 LR test: independent vs. saturated: chi2(66) = 8683.10 Prob>chi2 = 0.0000 Rotated factor loadings (pattern matrix) and unique variances Variable | Factori Factor 2 Factor3| Uniqueness item13 item14 | item15 item16 item171 item18 item19 item20 item211 item22 item23 | item24 0.7714 0.7256 0.6756 0.5908 0.5867 0.2865 0.1702 0.2278 0.4020 0.2178 0.4488 0.3235 0.1740 0.2130 0.2950 0.2926 0.4461 0.7386 0.7281 0.5396 0.5333 0.5584 0.3769 0.3205 0.2260 0.2171 | 0.2187 0.1820 0.2825 0.2255 0.1343 0.1594 0.3210 0.29131 0.6692 0.6528 0.3236 0.3810 0.4086 0.5322 0.3770 0.3216 0.4228 0.6315 0.4509 0.5559 0.2086 0.3665 8. Interpret the above results from factor analysis with rotation rotate, varimax horst 1365 Factor analysis/correlation Method: iterated principal factors Rotation: orthogonal varimax (Horst on) Number of obs Retained factors = Number of params 3 33 Factor Variance Difference Proportion Cumulative Factori Factor2 1 Factor31 2.94943 2.65516 1.41524 0.29428 1.23992 0.4202 0.3782 0.2016 0.4202 0.7984 1.0000 LR test: independent vs. saturated: chi2(66) = 8683.10 Prob>chi2 = 0.0000 Rotated factor loadings (pattern matrix) and unique variances Variable | Factori Factor 2 Factor3| Uniqueness item13 item14 | item15 item16 item171 item18 item19 item20 item211 item22 item23 | item24 0.7714 0.7256 0.6756 0.5908 0.5867 0.2865 0.1702 0.2278 0.4020 0.2178 0.4488 0.3235 0.1740 0.2130 0.2950 0.2926 0.4461 0.7386 0.7281 0.5396 0.5333 0.5584 0.3769 0.3205 0.2260 0.2171 | 0.2187 0.1820 0.2825 0.2255 0.1343 0.1594 0.3210 0.29131 0.6692 0.6528 0.3236 0.3810 0.4086 0.5322 0.3770 0.3216 0.4228 0.6315 0.4509 0.5559 0.2086 0.3665 8. Interpret the above results from factor analysis with rotation