1-Way ANOVA: Power Calculation Parameters - Quick Tab

Select the Quick tab of the 1-Way ANOVA: Power Calculation Parameters dialog box to access options to establish the basic parameters for analyzing power for the 1-way ANOVA.

Fixed Parameters. The entries in the boxes under Fixed Parameters establish the fixed, or baseline, parameters for subsequent power calculations and graphs. Parameters that are not varied explicitly as the dependent (X-axis) variables in a graphical analysis will be set equal to these values.

N per Group. In the N per Group box, enter N, the sample size in each group.

No. of Groups. In the No. of Groups box, enter the number of groups in the analysis.

Alpha. In the Alpha box, enter the type I error rate for the overall F-test.

RMSSE. In the RMSSE box, enter the root mean square standardized effect (RMSSE) as defined by Steiger and Fouladi (1997).  RMSSE is a measure of the overall size of standardized effects in the analysis.  You can enter this number directly, or, in the case of a fixed effects model, click the Calc. Effects button to display the ANOVA Effects Calculation dialog.

Type of Model. STATISTICA can handle power analysis for two distinctly different kinds of models. The more familiar model, called fixed effects, restricts you to making inferences about the actual treatments that are included in the experiment. The random effects model assumes you have randomly sampled your treatment levels from some larger population of levels.  In this case, you can make inferences about the variation in the entire population of potential treatments.

Fixed Effects. Select the Fixed Effects option button for a fixed effects model, which is by far the more common type.

Random Effects. Select the Random Effects option button for a random effects model.

Calc. Effects. Click the Calc. Effects button to display the ANOVA Effects Calculation dialog box. This dialog box provides a convenient facility for calculating measures of effect size from group means and the population standard deviation.