t**a
发帖数: 6 | 1 有一个关于analysis 的问题，如下：
controal variable: C1, C2, C3
Independent variable: IV1
Dependent variable: DV1, DV2, DV3 (DV1, DV2, DV3 are correlated with each
other)
How should I test the effect of IV1 on DV1, DV2, DV3?
One way is to run separate linear regression on each DV. But this method
doesn't count into the correlation among DVs.
Should I use MANCOVA? If so, in SPSS, should I put IV1 into fixed variable
or covariate? and should I put control variables into fixed or covariate? I'
m always confuse | t**a
发帖数: 6 | 2 in addition, all variables are continuous variables.呼唤牛人！！！！！ | t**a
发帖数: 6 | 3 my IV is continuous variable. Maybe I should say GLM upstairs. I think in
SPSS, they are the same procedures.
I cannot use SEM because my sample size too small.
Also, anyone heard about SUR (seemingly unrelated regression)? it allows the
error of each equation to be correlated.SUR is an extension of the linear
regression model which allows correlated errors between equations.
I think in GLM, all DVs are entered into one same model, where as in SUR,
there are a few different equations/models with |
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