2x3 Factorial ANOVA: Independent Samples (n per sample up to )
The logic and computational details of this test are described
in Chapter 16 of Concepts and Applications.
Data Structure
B1
B2
B3
A1
A1B1
A1B2
A1B3
A2
A2B1
A2B2
A2B3
As illustrated in the adjacent table, the data structure for this analysis allows for two levels of variable A, laid out in the form of rows (A1 and A2), and three levels of variable B, laid out in the form of columns (B1, B2, and B3). Procedure:
In the table that follows, labeled "Data Entry," enter the values of A1B1, A1B2, etc., into the designated text fields within each group. Pressing the "tab" key after each entry will take you down to the next text field in the group.
After all values have been entered in this fashion, scroll down to the button labeled "Calculate" and click it.
If you wish to perform another analysis with a different set of data: click the "Reset" button if the largest sample in your new set of data does not exceed ; click the "Reload" button if the size of any of the samples in your new set of data is larger than .
If you are working from a Windows platform, you might find the text fields in the various tables appearing and disappearing somewhat erratically. The way to fix this is to scroll all the way down to the bottom of the page, and then all the way back up to the top.Data Entry
B1
B2
B3
A1
Table of Means: Cells, Rows, Columns, and Total
B1
B2
B3
Rows
A1
A2
Columns
ANOVA SUMMARY
Source
SS
df
MS
F
P
bg
rows
columns
r x c
wg
Total
bg = between groups; wg = within groups (error)
Printable Reportfor Netscape Navigator 3.0 or later and Internet Explorer 4.5 or later. Do not click this button if you are using a version of Internet Explorer earlier than 4.5. [The browser you are now using is .]