Question: Multivariate Tests Effect Value Hypothesis df Error df Sig Intercept Pillai's Trace 971 313.177 3.000 28.000 000 Wilks' Lambda 029 313.177 3.000 28.000 000 Hotelling's

 Multivariate Tests Effect Value Hypothesis df Error df Sig Intercept Pillai's

Trace 971 313.177 3.000 28.000 000 Wilks' Lambda 029 313.177 3.000 28.000

Multivariate Tests Effect Value Hypothesis df Error df Sig Intercept Pillai's Trace 971 313.177 3.000 28.000 000 Wilks' Lambda 029 313.177 3.000 28.000 000 Hotelling's Trace 33.555 313.177 3.000 28.000 000 Roy's Largest Root 33.555 313.177 3.000 28.000 000 Group Pillai's Trace 265 1.478 6.000 58.000 202 Wilks' Lambda .743 1.495 6.000 56.000 197 Hotelling's Trace 335 1.509 6.000 54.000 193 Roy's Largest Root 299 2.889 3.000 29.000 .052 a. Design: Intercept + Group b. Exact statistic c. The statistic is an upper bound on F that yields a lower bound on the significance level. Tests of Between-Subjects Effects Type Ill Sum of Source Dependent Variable Squares if Mean Square F Sig. Corrected Model Usefulness 27.676" 13.838 630 .540 IN N Difficulty 2.53g 1.270 130 879 Importance 354.688 2 177.344 3.707 036 Intercept Usefulness 15749.852 15749.852 716.669 000 Difficulty 2944.186 2944.186 300.731 000 Importance 3971.669 3971.669 83.013 000 Group Usefulness 27.676 13.838 630 540 NN Difficulty 2.539 1.270 130 879 Importance 354.688 N 177.344 3.707 036 Error Usefulness 659.294 30 21.976 Difficulty 293.703 30 9.790 Importance 1435.312 30 47.844 Total Usefulness 16615.000 33 Difficulty 3265.000 33 Importance 5783.000 33 Corrected Total Usefulness 686.970 32

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