12:37 Thursday, June 12, 2015 1 The CANCORR Procedure Univariate Multiple Regression Statistics for Predicting the VAR Variables from the WITH Variables Squared Multiple Correlations and F Tests Numerator DF = 3 Denominator DF = 10 Adjusted Approx 95% CL for RSq R-Square R-Square Lower CL Upper CL F Value Pr > F Career 0.491185 0.338540 0.000 0.746 3.22 0.0699 Supervis 0.787385 0.723601 0.289 0.908 12.34 0.0011 Finance 0.207741 -.029936 0.000 0.508 0.87 0.4866 Average R-Square Unweighted 0.495437 Weighted by Variance 0.696500 12:37 Thursday, June 12, 2015 2 The CANCORR Procedure Univariate Multiple Regression Statistics for Predicting the VAR Variables from the WITH Variables Correlations Among the Regression Coefficient Estimates Variety Feedback Autonomy Variety 1.0000 -0.2414 -0.5274 Feedback -0.2414 1.0000 0.0301 Autonomy -0.5274 0.0301 1.0000 Standardized Regression Coefficients Career Supervis Finance Variety -0.0983 -0.1129 0.3080 Feedback 0.4906 0.4653 -0.1213 Autonomy 0.5111 0.7713 0.2243 Raw Regression Coefficients Career Supervis Finance Variety -0.077830651 -0.136276563 0.026394651 Feedback 0.364840891 0.527259775 -0.009759559 Autonomy 0.659430368 1.516437368 0.031326664 Standard Errors of the Raw Regression Coefficients Career Supervis Finance Variety 0.2180743628 0.2148110035 0.0294499154 Feedback 0.1740699939 0.1714651351 0.0235073327 Autonomy 0.3449691584 0.3398068905 0.0465864597 t Values for the Regression Coefficients Career Supervis Finance Variety -0.3569 -0.6344 0.8963 Feedback 2.0959 3.0750 -0.4152 Autonomy 1.9116 4.4626 0.6724 Prob > |t| for the Regression Coefficients Career Supervis Finance Variety 0.7286 0.5401 0.3912 Feedback 0.0625 0.0117 0.6868 Autonomy 0.0850 0.0012 0.5165 12:37 Thursday, June 12, 2015 3 The CANCORR Procedure Univariate Multiple Regression Statistics for Predicting the VAR Variables from the WITH Variables Semi-Partial Correlations Removing from Each Regressor the Effects of All Other Regressors Career Supervis Finance Variety -0.0805 -0.0925 0.2523 Feedback 0.4728 0.4484 -0.1169 Autonomy 0.4312 0.6507 0.1893 Squared Semi-Partial Correlations Removing from Each Regressor the Effects of All Other Regressors Career Supervis Finance Variety 0.0065 0.0086 0.0636 Feedback 0.2235 0.2010 0.0137 Autonomy 0.1859 0.4234 0.0358 Partial Correlations Removing the Effects of All Other Regressors from Both Regressor and Criterion Career Supervis Finance Variety -0.1121 -0.1967 0.2727 Feedback 0.5525 0.6971 -0.1302 Autonomy 0.5173 0.8159 0.2080 Squared Partial Correlations Removing the Effects of All Other Regressors from Both Regressor and Criterion Career Supervis Finance Variety 0.0126 0.0387 0.0744 Feedback 0.3052 0.4860 0.0169 Autonomy 0.2676 0.6657 0.0433 12:37 Thursday, June 12, 2015 4 The CANCORR Procedure Univariate Multiple Regression Statistics for Predicting the WITH Variables from the VAR Variables Squared Multiple Correlations and F Tests Numerator DF = 3 Denominator DF = 10 Adjusted Approx 95% CL for RSq R-Square R-Square Lower CL Upper CL F Value Pr > F Variety 0.280308 0.064401 0.000 0.584 1.30 0.3283 Feedback 0.382752 0.197578 0.000 0.670 2.07 0.1684 Autonomy 0.640719 0.532935 0.052 0.834 5.94 0.0136 Average R-Square Unweighted 0.434593 Weighted by Variance 0.380652 12:37 Thursday, June 12, 2015 5 The CANCORR Procedure Univariate Multiple Regression Statistics for Predicting the WITH Variables from the VAR Variables Correlations Among the Regression Coefficient Estimates Career Supervis Finance Career 1.0000 -0.5318 -0.1324 Supervis -0.5318 1.0000 -0.1066 Finance -0.1324 -0.1066 1.0000 Standardized Regression Coefficients Variety Feedback Autonomy Career 0.0536 0.3631 0.0999 Supervis 0.3281 0.3611 0.6654 Finance 0.3149 -0.1707 0.2125 Raw Regression Coefficients Variety Feedback Autonomy Career 0.067703803 0.488207721 0.077463244 Supervis 0.271908158 0.318651375 0.338431037 Finance 3.674031182 -2.120769874 1.521631184 Standard Errors of the Raw Regression Coefficients Variety Feedback Autonomy Career 0.410496295 0.404818385 0.178008613 Supervis 0.268545486 0.264831014 0.116452719 Finance 3.230652827 3.185967031 1.400948163 t Values for the Regression Coefficients Variety Feedback Autonomy Career 0.1649 1.2060 0.4352 Supervis 1.0125 1.2032 2.9062 Finance 1.1372 -0.6657 1.0861 Prob > |t| for the Regression Coefficients Variety Feedback Autonomy Career 0.8723 0.2556 0.6727 Supervis 0.3352 0.2566 0.0157 Finance 0.2820 0.5207 0.3029 12:37 Thursday, June 12, 2015 6 The CANCORR Procedure Univariate Multiple Regression Statistics for Predicting the WITH Variables from the VAR Variables Semi-Partial Correlations Removing from Each Regressor the Effects of All Other Regressors Variety Feedback Autonomy Career 0.0442 0.2996 0.0825 Supervis 0.2716 0.2989 0.5509 Finance 0.3051 -0.1654 0.2059 Squared Semi-Partial Correlations Removing from Each Regressor the Effects of All Other Regressors Variety Feedback Autonomy Career 0.0020 0.0898 0.0068 Supervis 0.0738 0.0894 0.3034 Finance 0.0931 0.0274 0.0424 Partial Correlations Removing the Effects of All Other Regressors from Both Regressor and Criterion Variety Feedback Autonomy Career 0.0521 0.3563 0.1363 Supervis 0.3049 0.3556 0.6767 Finance 0.3384 -0.2060 0.3248 Squared Partial Correlations Removing the Effects of All Other Regressors from Both Regressor and Criterion Variety Feedback Autonomy Career 0.0027 0.1270 0.0186 Supervis 0.0930 0.1265 0.4579 Finance 0.1145 0.0424 0.1055 12:37 Thursday, June 12, 2015 7 The CANCORR Procedure Canonical Correlation Analysis Adjusted Approximate Squared Canonical Canonical Standard Canonical Correlation Correlation Error Correlation 1 0.919412 0.898444 0.042901 0.845318 2 0.418649 0.276633 0.228740 0.175267 3 0.113366 . 0.273786 0.012852 Test of H0: The canonical correlations in Eigenvalues of Inv(E)*H the current row and all that follow are zero = CanRsq/(1-CanRsq) Likelihood Approximate Eigenvalue Difference Proportion Cumulative Ratio F Value Num DF Den DF Pr > F 1 5.4649 5.2524 0.9604 0.9604 0.12593148 2.93 9 19.621 0.0223 2 0.2125 0.1995 0.0373 0.9977 0.81413359 0.49 4 18 0.7450 3 0.0130 0.0023 1.0000 0.98714819 0.13 1 10 0.7257 Multivariate Statistics and F Approximations S=3 M=-0.5 N=3 Statistic Value F Value Num DF Den DF Pr > F Wilks' Lambda 0.12593148 2.93 9 19.621 0.0223 Pillai's Trace 1.03343732 1.75 9 30 0.1204 Hotelling-Lawley Trace 5.69042615 4.76 9 9.8113 0.0119 Roy's Greatest Root 5.46489324 18.22 3 10 0.0002 NOTE: F Statistic for Roy's Greatest Root is an upper bound. 12:37 Thursday, June 12, 2015 8 The CANCORR Procedure Canonical Correlation Analysis Raw Canonical Coefficients for the VAR Variables V1 V2 V3 Career Career Satisfaction 0.0148378305 -0.026536591 0.0509931964 Supervis Supervisor Satisfaction 0.0252519157 0.0041970746 -0.02920936 Finance Financial Satisfaction 0.0243430387 0.4415920204 0.1507204075 Raw Canonical Coefficients for the WITH Variables W1 W2 W3 Variety Task Variety -0.004300092 0.031408316 0.0351951723 Feedback Amount of Feedback 0.0201108856 -0.028134366 0.0152825384 Autonomy Degree of Autonomy 0.0531209636 0.0064473365 -0.052450863 12:37 Thursday, June 12, 2015 9 The CANCORR Procedure Canonical Correlation Analysis Standardized Canonical Coefficients for the VAR Variables V1 V2 V3 Career Career Satisfaction 0.3028 -0.5416 1.0408 Supervis Supervisor Satisfaction 0.7854 0.1305 -0.9085 Finance Financial Satisfaction 0.0538 0.9754 0.3329 Standardized Canonical Coefficients for the WITH Variables W1 W2 W3 Variety Task Variety -0.1108 0.8095 0.9071 Feedback Amount of Feedback 0.5520 -0.7722 0.4194 Autonomy Degree of Autonomy 0.8403 0.1020 -0.8297 12:37 Thursday, June 12, 2015 10 The CANCORR Procedure Canonical Structure Correlations Between the VAR Variables and Their Canonical Variables V1 V2 V3 Career Career Satisfaction 0.7499 -0.2503 0.6123 Supervis Supervisor Satisfaction 0.9644 0.0362 -0.2618 Finance Financial Satisfaction 0.2873 0.8814 0.3750 Correlations Between the WITH Variables and Their Canonical Variables W1 W2 W3 Variety Task Variety 0.4863 0.6592 0.5736 Feedback Amount of Feedback 0.6216 -0.5452 0.5625 Autonomy Degree of Autonomy 0.8459 0.4451 -0.2938 Correlations Between the VAR Variables and the Canonical Variables of the WITH Variables W1 W2 W3 Career Career Satisfaction 0.6895 -0.1048 0.0694 Supervis Supervisor Satisfaction 0.8867 0.0152 -0.0297 Finance Financial Satisfaction 0.2642 0.3690 0.0425 Correlations Between the WITH Variables and the Canonical Variables of the VAR Variables V1 V2 V3 Variety Task Variety 0.4471 0.2760 0.0650 Feedback Amount of Feedback 0.5715 -0.2283 0.0638 Autonomy Degree of Autonomy 0.7777 0.1863 -0.0333