SPSS On-Line Training Workshop
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In this Tutorial:
Click on the following movie clips to learn these three techniques:
In this on-line workshop, you will find many movie clips. Each movie clip will demonstrate some specific usage of SPSS.
Univiarate GLM is a technique to conduct Analysis of Variance for experiments with two or more factors. The main dialog box asks for Dependent Variable (response), Fixed Effect Factors, Random Effect Factors, Covariates (continuous scale), and WLS (Weighted Least Square) weight. The sub-menus include:
Model- This is the dialog for creating your model. The default is a full factorial. You can customize this to only include the interactions that you want. Sum of Squares is also set here. If there are no missing cells, Type III is most commonly used. If you have missing cells, you must use Type IV.
Contrasts- These are used to test for differences among the levels of a factor. They are like Post Hoc, but are specified prior to the experiment.
Plots- This is chosen if you want a profile (line) plot of the marginal means.
Post Hoc- Here you can choose multiple comparison procedures test for pair-wise comparison of group means between each pair of factor levels. Tukey's technique is generally used if you have a large number of comparisons. For a small number of comparisons, Bonferroni can also be used.
Save- If you want to save any of your output variables, (i.e. predicted values, residuals, diagnostics), you must choose this. You can save these to your data editor window or save them to a new file.
Options- Options let you select the factors for estimates of marginal means. We can also choose additional tests here (such as the Homogeneity test to confirm the assumption of equal variance) and set the significance level.
The data set used for demonstrating the univariate GLM is the Supermarket data set. See Data Set page for details.
click here to watch Univariate ANOVA