How to Do Planned ANOVA-Type Tests

Introduction

A planned ANOVA-Type Test occurs when appropriate data is selected when pressing  (i.e., when conducting Planned Tests Of Statistical Significance).

Selecting data for conducting ANOVA-Type Tests

The two screenshots below illustrate different examples of selecting data to conduct ANOVA-Type tests. The first of these examples results in a One-Way ANOVA with independent samples and the second in Repeated Measures ANOVA. Refer to ANOVA-Type Tests - Comparing Three or More Groups for details about how Q determines which test to conduct.

Outputs

Overall test of significance

The top of the outputs contain the results of the ANOVA-Type Test .

Where a repeated measusures ANOVA is conducted, some 'bonus' tests are added(each differs in their assumptions regarding the violation of the homogeneous variance assumption of ANOVA), and four tests are presented:

• Repeated Measures ANOVA
• Repeated Measures ANOVA with Greenhouse & Geisser Epsilon Correction
• Repeated Measures ANOVA with Lower Bound Epsilon Correction
• Repeated Measures ANOVA with Huynh and Feldt Epsilon Correction

Column comparison details

This contains the details used to compute Column Comparisons: the difference between the means (or proportions) being compared and the Corrected p.

Homogeneous subsets analysis

The homogeneous subsets are computed by;

• Ordering each of the means (or proportions), from lowest to highest.
• Starting with the lowest mean (or proportion) forming a group that includes this mean (or proportion) and any others that are not significantly different.
• Moving to the next mean (or proportion) that is significantly different (i.e., not in the previous group) and forming a new group that contains all the means (or proportions) that are not different from this mean.
• Etc.

Next

How to Conduct MANOVA Tests

How to Specify Comparisons for ANOVA-Based Tests