# Compare repeated measures variables and groups

New in v2.4.

From the `Analysis`

menu choose `Compare repeated measures variables and groups`

, and choose the variables you want to compare and the `Grouping variable`

, then hit OK.

To use several factors, click on `Factors...`

and set the names and the levels of the factors, and click OK. Then you can select the variables for the factor level combinations.

- Only the cases where all variables are available are used.
- Variables to be compared have to have the same measurement levels.

In the `Display options...`

dialog, the minimum and maximum of the y-axis, and the way factors are displayed can be set.

- If no
`Grouping variable`

is chosen, then the results mostly show the same results as in Compare repeated measures variables. (Depending on the specific implementation in the background, some results may be missing.) - If there is only a single
`Dependent variable(s)`

, then the results mostly show the same results as in Compare groups. (Depending on the specific implementation in the background, some results may be missing.)

The following results will be calculated (see also the common elements of the results):

## Raw data

Result | For interval variables | For ordinal variables | For nominal variables |
---|---|---|---|

Sample size | Number of observed cases | Number of observed cases | |

Graphs of the raw data | Plot with individual data | Plot with individual data |

For repeated measures individual data plots, values of a single case are connected.

## Sample properties

Result | For interval variables | For ordinal variables | For nominal variables |
---|---|---|---|

Descriptive data | Means, Standard deviations, Maximums, Upper quartiles, Medians, Lower quartiles, Minimums | Maximums, Upper quartiles, Medians, Lower quartiles, Minimums | |

Standardized effect size | |||

Graphs of the data | Box plot with individual data | Box plot with individual data |

For individual data plots, values of a single case are connected.

## Population properties

Result | For interval variables | For ordinal variables | For nominal variables |
---|---|---|---|

Population parameters numerically | Mean with 95% CI | Median with 95% CI | |

Standardized effect size | |||

Graphs of the population parameters | Graph with mean and 95% CI of the mean | Graph with median | |

Hypothesis test and sensitivity power analyses |