In: Statistics and Probability
The following table shows the results of a repeated-measures analysis of variance comparing two treatment conditions with a sample of n = 12 participants. Note that several values are missing in the table. What is the missing value for SStotal?
| Source | 
 SS  | 
 df  | 
 MS  | 
|
| Between | 
 xx  | 
 xx  | 
 12  | 
F = 4.00 | 
| Within | 
 xx  | 
 xx  | 
||
| Bet. Sub. | 
 35  | 
 xx  | 
||
| Error | 
 xx  | 
 xx  | 
 xx  | 
|
| Total | 
 xx  | 
 xx  | 
||
| 45 | 
| 47 | 
| 80 | 
| 148 | 
Let us start with the degrees of freedom,
Total number of subjects(Nsubjects)=12
Number of treatments(K)=2
Total number of data(N) =12*2=24
Using the above data,we will calculate the degrees of freedom
dfbetween=K-1=2-1=1
dfwithin=N-K=24-2=22
dfsubjects=Nsubjects-1=12-1=11
dferror=dfwithin-dfsubjects=22-11=11
dftotal=N-1=24-1=23
Given: SSbetw.subjects=35
MSbetween=12
We have MSbetween=12 and dfbetween=1
we know that MSbetween=SSbetween/dfbetweeen
12=SSbetween/1 which gives SSbetween=12*1=12
Therefore,SSbetween=12
Now,let us do a reverse calculation.that is,we will use the options of answer to calculate the other values.
First let us assume SStotal=148
SStotal is nothing but sum of SSbetween and SSwithin
We have SSbetween=12 and assuming SStotal=148,we will get
148=12+SSwithin
SSwithin=148-12 =136
SSerror=SSwithin-SSbetw.subjects=136-35=101
SSerror=101
As we know that SSerror and SSbetw.subjects are subset of SSwithin.when we sum those two values ,we will get SSwithin
SSwithin=101+35=136
Hence,SStotal=148
The completed ANOVA table is given below:
| Source | 
 SS  | 
 df  | 
 MS  | 
F-statistic | 
| Between | 
 12  | 
 1  | 
 12  | 
F = 4.00 | 
| Within | 
 136  | 
 22  | 
||
| Bet. Sub. | 
 35  | 
 11  | 
||
| Error | 
 101  | 
 11  | 
 9.18  | 
|
| Total | 
 148  | 
 23  |