|
ANY-maze Help > Using ANY-maze > Viewing and analysing results > Performing statistical analysis Performing statistical analysis
Essentially, ANY-maze statistical analysis is designed to detect differences between groups of animals. To this end, it includes one- and two-way ANOVAs (for both between and within subject designs), some non-parametric tests, and a range of post-hoc tests. Full details are given below.
Specifying the analysis to performTo run statistical analysis, perform the following steps:
For full details of all the options available, refer to the following topic: Performing statistical analysis. Viewing the resultsThe results of statistical analysis are presented in an identical format to Text reports, except that the analysis is shown below the table showing the group means and data - see figure 1.
Figure 1. The format used to display the results of statistical analysis in ANY-maze.
If you want to go back to the report settings page to alter the analysis, perhaps to change the post-hoc test or to view the results for a different dependent variable, then you simply need to click As you may know, you can easily alter the style of a report (by clicking an option in the Report style section of the ribbon bar) to view the same data in a different way. For example, if you are viewing data as a text report, then clicking the Graph style will show the same data as a graph. Well, this also applies to viewing statistical analysis - so if you are viewing a graph, you can simply click the Statistical style to view analysis of the graphed data. Statistical tests performed by ANY-mazeANY-maze includes a range of different statistical tests for analysing an experiment's data. As the system already knows certain things about the variables to analyse, such as whether they represent nominal data, whether there are repeated measures, etc., it is able to choose an appropriate parametric or non-parametric test for itself - full details are given below:
Analysis of nominal data ANY-maze can perform one-way (but not two-way) analysis of nominal data, such as the first zone entered in a test. To do this, it uses the tests shown in table 1. If the result of this analysis is significant (by default, p ≤ 0.05) and you've requested post-hoc analysis, then the system will employ the tests shown in table 2.
Table 1. Tests used to perform one-way analysis of nominal data in ANY-maze. *Strictly speaking, this should be analysed using the McNemar test, but the Cochran Q test yields the same answer.
Table 2. Tests used to perform post-hoc analysis of nominal data in ANY-maze.
Analysis of continuous data ANY-maze can perform one-way parametric or non-parametric analysis of continuous data using the tests shown in table 3. For two-way analysis, the tests used are shown in table 4. If the result of this analysis is significant (by default, p ≤ 0.05) and you've requested post-hoc analysis, then the system will employ the tests shown in table 5.
Table 3. One-way parametric and non-parametric tests used to analyse continuous data in ANY-maze.
Table 4. Two-way parametric and non-parametric tests used to analyse continuous data in ANY-maze.
Table 5. Post-hoc parametric and non-parametric tests used to analyse continuous data in ANY-maze.
© Copyright 2003-2026 Stoelting Co. All rights reserved ANY-maze help topic T0046 |