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Extra resources for SPSS Advanced Models 15.0
Example. A grocery store chain is interested in the effects of various coupons on customer spending. Taking a random sample of their regular customers, they follow the spending of each customer for 10 weeks. In each week, a different coupon is mailed to the customers. Linear Mixed Models is used to estimate the effect of different coupons on spending while adjusting for correlation due to repeated observations on each subject over the 10 weeks. Methods. Maximum likelihood (ML) and restricted maximum likelihood (REML) estimation.
43 Variance Components Analysis Type III. The default. This method calculates the sums of squares of an effect in the design as the sums of squares adjusted for any other effects that do not contain it and orthogonal to any effects (if any) that contain it. The Type III sums of squares have one major advantage in that they are invariant with respect to the cell frequencies as long as the general form of estimability remains constant. Therefore, this type is often considered useful for an unbalanced model with no missing cells.
Datasets are available for subsequent use in the same session but are not saved as files unless explicitly saved prior to the end of the session. Dataset names must conform to SPSS variable naming rules. You can use the MATRIX command to extract the data you need from the data file and then compute confidence intervals or perform tests. VARCOMP Command Additional Features The SPSS command language also allows you to: Specify nested effects in the design (using the DESIGN subcommand). Include user-missing values (using the MISSING subcommand).
SPSS Advanced Models 15.0 by SPSS