Factorial Analysis of Covariance for 2x3 Independent Samples
This page will perform an analysis of covariance for six independent samples, cross-tabulated according to two independent variables, A and B, where
• A1 and A2 represent two quantitative or categorical levels of the independent variable A;
• B1, B2, and B3 represent three quantitative or categorical levels of the independent variable B;
• DV = the dependent variable of interest; and
• CV = the concomitant variable whose effects one wishes to bring under statistical control.
Procedure: For each sample, enter the paired values of CV and DV in the cells of the designated columns, beginning in the top-most cell of each column. Within any particular column, pressing the "tab" key will take you down to the next cell in the column. After all data have been entered, click the "Calculate" button. ~~ If you wish to perform another analysis with a different set of data: click the "Reset" button if the value of n for the largest of your new samples is or smaller; click the "Reload" button if the value of n for the largest of the new samples is greater than .

Data Entry:
CV = concomitant variable
DV = dependent variable
Q
 B1 B2 B3 CV DV CV DV CV DV A1 A2

Dependent Variable:
Values of n for Cells and Marginals
Q
 B1 B2 B3 Totals A1 A2 Totals

Dependent Variable: Observed MeansQ
 B1 B2 B3 Totals A1 A2 Totals

 B1 B2 B3 Totals A1 A2 Totals

Aggregate Correlation within Samples: CV vs DVQ
 r = r2 =

ANCOVA SummaryQ