Explore relation of variable pair

krajcsi edited this page Jun 7, 2018 · 1 revision

From the Analysis menu choose Explore relation of variable pair, and choose the variables you want to analyze, then hit OK.

  • If you choose more than two variables, all possible pairs will be explored.
  • If the two variables in a pair have different measurement level, then lower measurement level will be used for both variables. E.g., for an interval-ordinal pair, CogStat handles them if both variables were ordinal.

The following values and graphs will be displayed (see also the common elements of the results):

Raw data

For interval data For ordinal data For nominal data
Number of valid cases Number of valid cases Number of valid cases
Scatter plot of the raw data Scatter plot of the raw order data Mosaic plot

On scatter plots the size of a dot is proportional with the number of cases with that value pair.

Sample properties

For interval data For ordinal data For nominal data
Pearson and Spearman correlation coefficient Spearman correlation coefficient
Equation of the linear regression line
Contingency table
Scatter plot with regression line

On scatter plots the size of a dot is proportional with the number of cases with that value pair.

Population properties

For interval data For ordinal data For nominal data
Pearson and Spearman correlation coefficient, and their confidence intervals Spearman correlation coefficient and its confidence interval Cramér's V
p values for correlation coefficients p value for correlation coefficient Chi-squared test
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