Title 'Grice & Iwasaki Confidence Interval for Simplified Composite'. * First: Run Means procedure to obtain group means. * Copy and Paste the Means in the 'M' (means) matrix below. * You will need to separate the numbers by commas and enter semi-colons at the end of each row. * Enter the lowest sample sizes for each group in the 'N' matrix below. * Order is important for all of the matrices. The order here is European Americans (EA), * Asian International (AI), and Asian American (AA) for the groups; N E O A C for the dependent * variables. MEANS TABLES=n e o a c BY grp /CELLS MEAN COUNT. * Second: Run the GLM procedure to obtain the SSCP Error matrix for the MANOVA. * Copy and Paste the 'Sums of Squares and Cross Products' matrix from the output to the 'E' * matrix below. You will need to separate the numbers by commas and enter semi-colons at the * end of each row. GLM n e o a c BY grp /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /PRINT = RSSCP /* RSSCP keyword prints the residual matrix */ /CRITERIA = ALPHA(.05) /DESIGN = grp . * Third: Fill in contrast coefficients in the 'C' matrix below. Again, group order is important * (EA, AI, AA). * Fourth: Fill in the weights for the multivariate composite in the 'A' matrix below. Again the order * of the dependent variables is important (N E A O C). * Fifth: Input the value for 'gcr' below. This value must be obtained from Harris' gcr tables or program * using s, m, and n degrees of freedom and a priori alpha (e.g., .05, .01). * Sixth: Run the program. The 'ci_low' and 'ci_high' values constitute the confidence interval. matrix. compute C={-1, .5, .5}. compute A={0, -1, 1, -1, 0}. compute N={75, 72, 56}. compute X={ 93.9467, 126.2267, 113.4000, 116.8400, 113.8667; 97.0694, 108.1944, 111.3611, 106.4167, 108.3750; 97.0357, 114.9821, 126.9821, 119.6786, 113.3393}. compute cXa=c * X * T(a). print cXa. compute E={ 90650.368, -19544.030, -2139.170, -6905.080, -31111.087; -19544.030, 68087.407, 25963.127, -5340.435, 24283.356; -2139.170, 25963.127, 58283.593, 10117.645, 6850.589; -6905.080, -5340.435, 10117.645, 61033.794, 3838.257; -31111.087, 24283.356, 6850.589, 3838.257, 68134.095}. compute aEa=A * E * T(A). print aEa. compute gcr = 0.0706. compute lamcrit = gcr / (1 - gcr). compute cjs=(c &* c) * (1 / T(N)). compute ci_low=cxa - sqrt(cjs * aEa * lamcrit). compute ci_high=cxa + sqrt(cjs * aEa * lamcrit). print ci_low. print ci_high. end matrix.