New in v2.4.

From the Analysis menu, choose Compare repeated measures variables and groups, select 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 Scatter plot and/or spaghetti plot showing individual data Scatter plot and/or spaghetti plot showing 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 showing quartiles with scatter plot and/or spaghetti plot showing individual data Box plot showing quartiles with scatter plot and/or spaghetti plot showing 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 (new in v2.5) Mixed-desing ANOVA