GLM and ANOVA Results - Summary Tab

ANOVA/MANOVA: Basic Ideas

Select the Summary tab of the GLM Results or the ANOVA Results dialogs to access options to display the main results for the current analysis. Depending on the type of design, whether or not random effects are present in the design, whether there are categorical predictor variables in the design, and/or whether there are within-subject (repeated measures) in the design, some of the options described below may not be available on the Summary tab. For instance, if you select Huge balanced ANOVA from the GLM Startup Panel - Quick tab or specify SSTYPE=BALANCED in the GLM (STATISTICA) syntax, several advanced options are not available in the results dialog box (due to the computational shortcuts employed in order to efficiently analyze huge balanced designs; see also Balanced ANOVA in the Introductory Overview for details).

Element Name Description
All effects/Graphs Click the All effects/Graphs button to display the Table of All Effects, which shows the summary ANOVA (MANOVA) table for all effects; you can then select an effect and produce a spreadsheet or graph of the observed unweighted, observed weighted, and least squares means. Refer also to the description of the options on the Means tab for details concerning the different means computed by STATISTICA, and their standard errors. This button is available only if 1) the current design includes categorical predictor variables or within-subject (repeated measures) effects, and 2) if there are random effects in the current design, there is only a single dependent variable (multivariate results for mixed-model designs cannot be computed).
All effects Click the All effects button to display 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 produced for univariate repeated measures designs (where appropriate, multivariate tests for repeated measures can be computed via the Within effects options, see below); if the design is multivariate in nature, the multivariate results MANOVA table will be displayed, 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 created, one for each dependent variable (in that case, the tests reported in the ANOVA table will use synthesized error terms). For a discussion of the different types of designs, and how the respective ANOVA/MANOVA tables are computed, see the Introductory Overview.
Univariate results Click the Univariate results button to create a spreadsheet with the standard univariate ANOVA table for each dependent variable, regardless of whether the design includes within-subject (repeated measures factors). To review the univariate results for the within-subject design, use option Univ. tests in the Within effects box (see below). If analyzing a Mixed Model ANOVA, the results generated by clicking the Univarate results button are fixed effects results. These results serve as a comparison to the results with random effects generated by clicking the All effects button.
Cell statistics Click the Cell statistics button to create 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 description of the options on the Means tab). Least squares means (e.g., see Searle, 1987) can be computed on the Means tab, or via the All effects/Graphs option (see above); 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 The options in the Between effects group box allow you to review, as appropriate for the given design, various results statistics for the between-group design such as Design terms, Whole model R, Coefficients, and Estimate. For specific details on these tests/options, see Summary Results for Between Effects in GLM and ANOVA.
Within effects The options in the Within effects group box allow you to review, as appropriate for the given design, various results statistics for the within-subject (repeated measures) design such as Multivariate tests, Univariate. tests, G-G and H-F tests, Effect SSCPs, Sphericity, Error SSCPs, and Error Corrs. For specific details on these tests/options, see Summary Results for Within Effects in GLM and ANOVA. If the current design does not include within-subject (repeated measures) factors, these options are not displayed on this tab.
Random effects The options in the Random effects group box allow you to display the results related to the analysis of the random effects in the model such as Variance components, Expected mean squares, Bar plot, Denominator synthesis, and Pie chart. This is only available in GLM, not in ANOVA. For specific details on these tests/options, see Summary Results for Random Effects in GLM.
Multiv. tests. In the Multiv. tests group box you can select the specific multivariate test statistics that are to be reported in the respective results spreadsheets. For descriptions of the different multivariate tests statistics, refer to the GLM Introductory Overview topic Multivariate Designs. 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 Alpha values 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 the Confidence limits field. 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 (e.g., in the All effects spreadsheet) in the Significance level field. By default all results significant at the p<.05 level will be highlighted.

See also GLM - Index.