Logit模型
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Logit模型
LOGLINEAR vary (1,2) BY devolve(1,2) data(1,2)
/CRITERIA=DELTA(0)
/PRINT=ESTIM
/DESIGN=vary
vary by devolve
vary by data .
CROSSTABS
/TABLES=vary BY devolve BY data
/FORMAT= A V ALUE TABLES
/CELLS= COUNT .
饱和模型和分层模型
HILOGLINEAR
data(1 2) vary(1 2) devolve(1 2) /METHOD=BACKWARD
/CRITERIA MAXSTEPS(10) P(.05) ITERATION(20) DELTA(0) /PRINT=ASSOCIATION
/DESIGN .
try’s data analyze
HILOGLINEAR
str(1 2) in(1 2) mea(1 2) /METHOD=BACKWARD
/CRITERIA MAXSTEPS(10) P(.05) ITERATION(20) DELTA(0) /PRINT=ASSOCIATION
/DESIGN .
LOGLINEAR str (1,2) BY in(1,2) mea(1,2)
/CRITERIA=DELTA(0)
/PRINT=ESTIM
/DESIGN=str
str by in
str by mea .
CROSSTABS
/TABLES=str BY in BY mea
/FORMAT= A V ALUE TABLES
/CELLS= COUNT .
LOGLINEAR ch (1,2) BY stan(1,2) ore(1,2) sit(1,4)
/CRITERIA=DELTA(0)
/PRINT=ESTIM
/DESIGN=ch
ch by stan
ch by ore
ch by sit .