

Oneway random effects ancova 

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Hi, I have survey data collected at over 350 colleges. My dependent variable is continuous and all independent variables/covariates are binary  group membership indicators. The dependent variable is the mean of several 01 variables then standardized to have a mean of 50 and a standard deviation of 25. All variables in my model are observed and the model is fully saturated. I have set up a model with the following parameters (skipping Names and usevariables). VARIABLE: cluster is col_id ; missing are all . ; within = q16 enrl female dev ; ANALYSIS: type = twolevel ; MODEL: %WITHIN% ACC ON q16 fulltime female dev ; OUTPUT sampstat stdyx ; The independent variables are all coded as 0/1 where 1 represents the characteristic described by the variable (dev indicates a student is not collegeready  needs developmental courses). The between level means estimate for ACC is 41.602 with a S.E. of 0.274. The between level variance estimate for ACC is 12.942 with a S.E. of 1.584. The mean estimate for ACC is quite a bit lower than I expected. It has been a long time since I have done this type of analysis so I'm wondering if I have missed something. I'm planning to expand this model to a intercept and slopes as outcome model, but I want to make sure I understand what I am doing at a less complex level before I move on. 


On between ACC is a random intercept. The value 12.942 is the mean of the random intercept. See Example 9.1 in the user's guide. 

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