* Encoding: UTF-8. FREQUENCIES school. *Rozložení průměrů napříč školami. GGRAPH /GRAPHDATASET NAME="graphdataset" VARIABLES=School[LEVEL=NOMINAL] test MISSING=LISTWISE REPORTMISSING=NO /GRAPHSPEC SOURCE=INLINE. BEGIN GPL SOURCE: s=userSource(id("graphdataset")) DATA: School=col(source(s), name("School"), unit.category()) DATA: test=col(source(s), name("test")) DATA: id=col(source(s), name("$CASENUM"), unit.category()) GUIDE: axis(dim(1), label("Škola")) GUIDE: axis(dim(2), label("Body z testu")) GUIDE: text.title(label("Simple Boxplot of Body z testu by Škola")) SCALE: linear(dim(2), include(0)) ELEMENT: schema(position(bin.quantile.letter(School*test)), label(id)) END GPL. *Prosté srovnání průměrů. REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT test /METHOD=ENTER gender /SAVE=RESID. *Random intercepts model. MIXED test WITH gender /CRITERIA=CIN(95) MXITER(100) MXSTEP(10) SCORING(1) SINGULAR(0.000000000001) HCONVERGE(0, ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE) /FIXED=gender | SSTYPE(3) /METHOD=ML /PRINT=DESCRIPTIVES SOLUTION TESTCOV /RANDOM=INTERCEPT | SUBJECT(School) COVTYPE(VC). *Random slopes model. MIXED test WITH gender /CRITERIA=CIN(95) MXITER(100) MXSTEP(10) SCORING(1) SINGULAR(0.000000000001) HCONVERGE(0, ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE) /FIXED=gender | SSTYPE(3) /METHOD=ML /PRINT=DESCRIPTIVES SOLUTION TESTCOV /RANDOM=gender | SUBJECT(School) COVTYPE(VC). *Random intercept and slope model. MIXED test WITH gender /CRITERIA=CIN(95) MXITER(100) MXSTEP(10) SCORING(1) SINGULAR(0.000000000001) HCONVERGE(0, ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE) /FIXED=intercept gender | SSTYPE(3) /METHOD=ML /PRINT=DESCRIPTIVES SOLUTION TESTCOV /RANDOM=intercept gender | SUBJECT(School) COVTYPE(VC). *Random intercept and slope model s kovariancí random parametrů. MIXED test WITH gender /CRITERIA=CIN(95) MXITER(100) MXSTEP(10) SCORING(1) SINGULAR(0.000000000001) HCONVERGE(0, ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE) /FIXED=intercept gender | SSTYPE(3) /METHOD=ML /PRINT=DESCRIPTIVES SOLUTION TESTCOV /RANDOM=intercept gender | SUBJECT(School) COVTYPE(UN). *Uncoditional means - variance components. MIXED test WITH gender /CRITERIA=CIN(95) MXITER(100) MXSTEP(10) SCORING(1) SINGULAR(0.000000000001) HCONVERGE(0, ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE) /FIXED=intercept | SSTYPE(3) /METHOD=ML /PRINT= SOLUTION TESTCOV /RANDOM=INTERCEPT | SUBJECT(School) COVTYPE(VC). *School-level variable. MIXED test WITH nbrhd /CRITERIA=CIN(95) MXITER(100) MXSTEP(10) SCORING(1) SINGULAR(0.000000000001) HCONVERGE(0, ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE) /FIXED=nbrhd | SSTYPE(3) /METHOD=REML /PRINT=DESCRIPTIVES SOLUTION TESTCOV /RANDOM=INTERCEPT | SUBJECT(School) COVTYPE(VC). *Predictors at both levels. MIXED test WITH gender nbrhd /CRITERIA=CIN(95) MXITER(100) MXSTEP(10) SCORING(1) SINGULAR(0.000000000001) HCONVERGE(0, ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE) /FIXED=intercept gender nbrhd | SSTYPE(3) /METHOD=REML /PRINT=DESCRIPTIVES SOLUTION TESTCOV /RANDOM=INTERCEPT | SUBJECT(School) COVTYPE(VC). *Cross-level interaction. MIXED test WITH gender nbrhd /CRITERIA=CIN(95) MXITER(100) MXSTEP(10) SCORING(1) SINGULAR(0.000000000001) HCONVERGE(0, ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE) /FIXED=intercept gender nbrhd gender*nbrhd | SSTYPE(3) /METHOD=REML /PRINT=DESCRIPTIVES SOLUTION TESTCOV /RANDOM=INTERCEPT | SUBJECT(School) COVTYPE(VC). *Alternativa předchozího, kde je random efekt genderu predikován sousedstvím. MIXED test WITH gender nbrhd /CRITERIA=CIN(95) MXITER(100) MXSTEP(10) SCORING(1) SINGULAR(0.000000000001) HCONVERGE(0, ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE) /FIXED=intercept gender nbrhd gender*nbrhd | SSTYPE(3) /METHOD=REML /PRINT=DESCRIPTIVES SOLUTION TESTCOV /RANDOM=INTERCEPT gender | SUBJECT(School) COVTYPE(VC).