Workspace Node: GLM Custom Design - Results - Summary Tab

In the GLM Custom Design node dialog box, under the Results heading, select the Summary tab to access options for the statistics to be computed and placed in the Reporting Documents after running (updating) the project.

Element Name Description
Test all effects Select this check box to create a spreadsheet with the ANOVA (MANOVA) table for all effects. If the design is univariate in nature (involves only a single dependent variable), the univariate results ANOVA table will be produced; the univariate results ANOVA table is also displayed for univariate repeated measures designs (where appropriate; if the design is multivariate in nature, the multivariate results MANOVA table will be produced, showing the statistics as selected in the Multivariate tests group box, see below; if the design includes random effects and multiple dependent variables, multiple univariate ANOVA tables (spreadsheets) will be produced, one for each dependent variable (in this case, the tests reported in the ANOVA table will use synthesized error terms).
Effect sizes Click this button to produce a spreadsheet with the ANOVA (MANOVA) table for all effects and the effect sizes and powers (i.e., Partial eta-squared, Non-centrality, and Observed power). Partial eta-squared is the proportion of the variability in the dependent variables that is explained by the effect. The Non-centrality value is the main statistic used to compute power, and the Power column contains the power values of the significant test on the effect.
Univariate results Click this button to produce a spreadsheet with the standard univariate ANOVA table for each dependent variable, regardless of whether the design includes within-subject (repeated measures factors).
Desc. cell statistics Click this button to produce a spreadsheet of the descriptive statistics for each cell in the design; specifically, descriptive statistics are computed for the dependent variables, as well as any continuous predictors (covariates) in the design, for each column of the overparameterized design matrix for categorical effects. Thus, marginal means and standard deviations are available for each categorical effect in the design. Note that for lower-order effects (e.g., main-effects in designs that also contain interactions involving the main effects), the reported means are weighted marginal means, and as such estimates of the weighted population marginal means (for details, see, for example, Milliken and Johnson, 1984, page 132; see also the discussion of means in the Means tab topic). Least squares means (e.g., see Searle, 1987) can be computed on the Means tab; usually, in factorial designs, it is the least squares means that should be reviewed when interpreting significant effects from the ANOVA or MANOVA.
Between effects Use the options in this group box to review, as appropriate for the given design, various results statistics for the between-group design such as Design terms, Whole model R, and Coefficients. For specific details on these tests/options, see Summary results for between effects in GLM and ANOVA.
Multivariate tests In this group box, specify the specific multivariate test statistics to be reported in the respective results spreadsheets. For descriptions of the different multivariate tests statistics, refer to the Multivariate Designs topic. These options are only available if the current design is multivariate in nature, i.e., if there are multiple dependent measures, or a within-subject (repeated measures) design with effects that have more than 2 levels (and hence, multivariate tests for those effects can be computed).
Alpha values Use the options in this group box to specify Confidence limits and Significance level values. These values are used in all results spreadsheets and graphs whenever a confidence limit is to be computed or a particular result is to be highlighted based its statistical significance.
Confidence limits Enter the value to be used for constructing confidence limits in the respective results spreadsheets or graphs (e.g., spreadsheet of parameter estimates, graph of means) in. By default 95% confidence limits will be constructed.
Significance level Enter the value to be used for all spreadsheets and graphs where statistically significant results are to be highlighted. By default all results significant at the p<.05 level will be highlighted.

Options / C / W. See Common Options.

OK Click the OK button to accept all the specifications made in the dialog box and to close it. The analysis results will be placed in the Reporting Documents node after running (updating) the project.