Message/Author |
|
|
I want to calculate simple mean differences in a variable (y) depending on the belongniss to one of two institution types X (lower school, higher school). Of both types I have more than 15 institutions (cluster variable = inst). My question: How can I test for mean differences in achievement without neglecting the clustering? Is it right that I only need a between model? BETWEEN = X; CLUSTER = inst; ANALYSIS: TYPE = TWOLEVEL; MODEL: %BETWEEN% maa8 ON insttyp; |
|
|
Your model should be: MODEL: %WITHIN% maa8; %BETWEEN% maa8 ON x; The regression coefficient is the mean difference. |
|
|
Thanks a lot! An additional question: How can it be that my regression coefficients (standardized) are very high, some are even higher than 1 (even though the mean differences in SPSS are quite small). How to interprete this? MAA8 ON INSTTYP 1.336 0.230 5.802 0.000 |
|
|
For us to be able to tell, you have to send the full output to support along with your license number. |
|
|
I am now trying to estimate the student composition effect in an ANCOVA model. and the level 2 predictor will be the agreegated mean of the predictor in level 1 .How should I set the command in Mplus syntax and find the p value? i.e. I want to find if Bc= r01-r10 is significant or not? Thank you very much! |
|
|
You can do that using MODEL TEST or MODEL CONSTRAINT. See the user's guide for further information on these commands. |
|
Back to top |