Title: Model 3

Data: file is dyscalculia.dat;

Variable: names are
schoolcluster classcluster vr0 - vr8;

usevariables are v1 - v8;

cluster is schoolcluster classcluster ;

Define: v1 = vr1/12; 		!divided by the SD’s (roughly) to
v2 = vr2/10; 			!equalize the scale of the variables
v3 = vr3/10;
v4 = vr4/7;
v5 = vr5/25;
v6 = vr6/9;
v7 = vr7/9;
v8 = vr8/17;

Analysis: TYPE = THREELEVEL;
Estimator = MLF;

Model: %WITHIN%
calc by v1* v2 - v8 (Lambda1-Lambda8); 	! labels
calc@1; 						! L1 factor variance at 1
number by v1@1 v2@1; 			! both factor loadings fixed at 1
number; 					! variance = residual covariance
calc with number@0; 			! factors are uncorrelated
V1-v8; 					! free residual variance

%BETWEEN classcluster%
L2calc by v1* v2 - v8 (Lambda1-Lambda8); 	! same labels
L2calc; 						! L2 factor variance free
L2number by v1@1 v2@1; 			! both factor loadings fixed at 1
L2number;  					! variance = residual covariance
L2calc with L2number@0; 		! factors are uncorrelated
V1-v8; 			! free residual variance (measurement bias)

%BETWEEN schoolcluster%
L3calc by v1* v2 - v8 (Lambda1-Lambda8); 	! same labels
L3calc; 						! L3 factor variance free
L3number by v1@1 v2@1; 			! both factor loadings fixed at 1
L3number; 					! variance = residual covariance
L3calc with L3number@0;
v1-v8@0; 			! residual variance at 0 (no measurement bias)