Comparison 3: No lesion (group 1) vs. lesions (groups 2, 3, and 4 combined) HO: H...

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Comparison 3: No lesion (group 1) vs. lesions (groups 2, 3, and 4 combined) HO: H (+ 3+ 4) 3 or H- (+ 3+4) 3 0 M- (M+ M3+ M) 3 = effect size Here are the coefficients for comparison three, notice again how they fit the comparison as expressed in HO and the measure of effect size. Group 1 (no Group 2 lesion) Group 3 Group 4 (right side) (left side) (both sides) Comparison 3 1 -.33 -.33 -.34* Coefficients * The coefficients must sum to zero, and as SPSS won't let us put -1/3 as a coefficient (it only accepts decimal values and also won't allow more than two places to the right of the decimal point) we need to make group 4 be -.34, this slightly alters the analysis but we hope not enough to make a difference. efficie ests /CONTRAST=1 .33 -.33 -.64 /MISSING ANALYSIS /CRITERIA CILEVEL (0.95). Oneway efficie sts Y ANOVA Sum of Squares df Mean Square F Sig. Between Groups 3543.845 3 Within Groups efficie sts Total 12466.197 16010.043 116 1181.282 107.467 10.992 Comparison 3: No lesion (group 1) vs. lesions (groups 2, 3, and 4 combined) HO: H (+ 3+ 4) 3 or H- (+ 3+4) 3 0 M- (M+ M3+ M) 3 = effect size Here are the coefficients for comparison three, notice again how they fit the comparison as expressed in HO and the measure of effect size. Group 1 (no Group 2 lesion) Group 3 Group 4 (right side) (left side) (both sides) Comparison 3 1 -.33 -.33 -.34* Coefficients * The coefficients must sum to zero, and as SPSS won't let us put -1/3 as a coefficient (it only accepts decimal values and also won't allow more than two places to the right of the decimal point) we need to make group 4 be -.34, this slightly alters the analysis but we hope not enough to make a difference. efficie ests /CONTRAST=1 .33 -.33 -.64 /MISSING ANALYSIS /CRITERIA CILEVEL (0.95). Oneway efficie sts Y ANOVA Sum of Squares df Mean Square F Sig. Between Groups 3543.845 3 Within Groups efficie sts Total 12466.197 16010.043 116 1181.282 107.467 10.992