
The logic and computational details of the oneway
independentsamples ANCOVA are described
in Chapter 17 of Concepts and Applications.

This page will perform an analysis of covariance for two independent samples, A and B, where
 A and B represent two quantitative or categorical levels of the independent variable;
 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 topmost 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}

 Levels of Independent Variable


 Sample A

 Sample B

count

 CV
 DV

 CV
 DV


  
  

Dependent Variable

Sample

 Total

A
 B


n

 
 
Observed Means

 
 
Adjusted Means

 
 
Aggregate Correlation within Samples: CV vs DV

 
ANCOVA SUMMARY
Source
 SS
 df
 MS
 F
 P

adjusted means
     
adjusted error
   
adjusted total
  
Test for homogeneity of regressions:
Source
 SS
 df
 MS
 F
 P

between regressions
     
remainder
   
adjusted error
  
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©Richard Lowry 2001
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