Compare groups

krajcsi edited this page Nov 5, 2018 · 17 revisions

From the Analysis menu choose Compare groups, and choose the dependent variable(s) you want to analyze, choose the Grouping variable, then hit OK.

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 valid cases Number of valid cases Number of valid cases
Graphs of the raw data Plot with individual data Plot with individual data (order of the values) Mosaic plot

Sample properties

Result For interval variables For ordinal variables For nominal variables
Descriptive data (Most of them new in v1.7) Means, Standard deviations, Maximums, Upper quartiles, Medians, Lower quartiles, Minimums (Most of them new in v1.7) Maximums, Upper quartiles, Medians, Lower quartiles, Minimums Contingency table
Graphs of the data Box plot with individual data Box plot with individual data (order of the values)

Population properties

Result For interval variables For ordinal variables For nominal variables
Graphs of the population parameters Graph with mean and 95% CI
Hypothesis test for two groups When one of the groups includes a singe case, if control group is normal (measured with Shapiro-Wilk test) then modified t-test, otherwise Mann-Whitney test

For comparing two groups if the data are normal (measured with Shapiro-Wilk test) and homoscedastic (measured with Levene's test) two-sample t-test
For non-normal groups Mann-Whitney test
For normal but heteroscedastic groups Welch's t-test
Confidence interval of the difference of the groups
Mann-Whitney test Chi-squared test
Hypothesis test for more than two groups If the data are normal (measured with Shapiro-Wilk test) and homoscedastic (measured with Levene's test) one-way ANOVA, and omega square effect size
If ANOVA is significant, post-hoc Tukey's HSD tests

Otherwise Kruskal-Wallis test
Kruskal-Wallis test Chi-squared test
Hypothesis test for two grouping variables (New in v1.7) Two-way ANOVA

Limitations

  • CogStat only supports one- and two-way comparisons at the moment.
  • No post-hoc tests for Kruskall-Wallis test and two-way ANOVA yet.
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