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I am currently doing a research on effects of writing styles on the perception of reader.

Currently I have the following 4 groups

Group 1: Pre Test - Treatment 1a - Post Test
Group 2: Pre Test - Treatment 1b - Post Test
Group 3: Pre Test - Treatment 2a - Post Test
Group 4: Pre Test - Treatment 2b - Post Test

Treatment 1 refers to a normal writing style and Treatment 2 refers to the enhanced writing style. 

I understand the most researchers will assume that pretest for all 4 groups are the same due to randomly chosen participants. However, what it can show is only that the treatments influence the participants.

Is there any statistical tests I can use to test that treatment 1 influences the participants more than treatment 2?

Thank you! any help is greatly appreciated.

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    $\begingroup$ Do you have a control group? $\endgroup$ Jan 20, 2013 at 16:19
  • $\begingroup$ Treatment 1 is the control group. $\endgroup$
    – Wilson
    Jan 21, 2013 at 15:56
  • $\begingroup$ What do the small a and b refer to? Any reason why the methods discussed in stats.stackexchange.com/questions/3466/… do not apply? $\endgroup$
    – Gala
    May 21, 2013 at 9:56

1 Answer 1

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One option is to use ANOVA with orthogonal contrasts. In this case, this would be an example of "planned multiple comparisons". See http://web.uct.ac.za/depts/psychology/psy400w/stats/anova/multcomp.pdf

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  • $\begingroup$ Hmm. a question. Do i take the difference between pre test and post test as the "sum" in the example given in the link? thank you. $\endgroup$
    – Wilson
    Jan 21, 2013 at 15:57
  • $\begingroup$ Will you do calculations by hand or are you using any particular software (SPSS, Excel, R)? It would make things easier to explain. $\endgroup$
    – noumenal
    Jan 21, 2013 at 19:04
  • $\begingroup$ You need to calculate one sum for each treatment. You then apply the contrast on these sums. $\endgroup$
    – noumenal
    Jan 21, 2013 at 19:06
  • $\begingroup$ I am using SPSS. $\endgroup$
    – Wilson
    Jan 22, 2013 at 5:40
  • $\begingroup$ I hope this helps: statisticshell.com/docs/contrasts.pdf $\endgroup$
    – noumenal
    Jan 22, 2013 at 7:53

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