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craig100
Mar28-09, 06:58 AM
Hello There,

I'm after a little advice; I have data collected during experimentation that was designed to determine the improvement of two groups of subjects between a pre and a post-test. The results are as follows:
Pre & Post test numbers represent the number of errors made
Group 1:

Pre|Post|Improvement
0 0 0
1 0 1
5 4 1
12 0 12
2 0 2
7 6 1
0 0 0
13 0 13


Group 2:

Pre|Post|Improvement
0 1 -1
2 0 2
1 0 1
0 0 0
0 11 -11
5 23 -18


I'm applying the t-test to determine if there is a statistical difference between the means(of the improvement columns).

My question is really simple(hopefully)... in group 2, should I be recording improvement as a negative number? or simply zero?

Using zero will not give me a significant statistical difference between the means of group 1 and group 2... using the negative numbers does.

Also, if I'm keeping the negative improvement numbers, is it okay to represent improvement as a negative percentage?

I've not done much with statistics, so would appreciate your input.

Thanks,
Craig.

statdad
Mar29-09, 05:20 PM
Hello There,

I'm after a little advice; I have data collected during experimentation that was designed to determine the improvement of two groups of subjects between a pre and a post-test. The results are as follows:
Pre & Post test numbers represent the number of errors made
Group 1:

Pre|Post|Improvement
0 0 0
1 0 1
5 4 1
12 0 12
2 0 2
7 6 1
0 0 0
13 0 13


Group 2:

Pre|Post|Improvement
0 1 -1
2 0 2
1 0 1
0 0 0
0 11 -11
5 23 -18


I'm applying the t-test to determine if there is a statistical difference between the means(of the improvement columns).

My question is really simple(hopefully)... in group 2, should I be recording improvement as a negative number? or simply zero?

Using zero will not give me a significant statistical difference between the means of group 1 and group 2... using the negative numbers does.

Also, if I'm keeping the negative improvement numbers, is it okay to represent improvement as a negative percentage?

I've not done much with statistics, so would appreciate your input.

Thanks,
Craig.

Since you are subtracting in the order Pre-Post, a negative difference indicates a higher value in the post data - that's what you are hoping to find, if I understand you correctly.

Note that you are free to subtract in either order: if the negative differences are giving you a conceptual problem, subtract in the other order.

I would be more concerned about doing t-tests with such small samples.