Hello ,
I have a problem with a statistical analysis.
I have two groups(control and treated) , they had two treatment sections over time.
Im trying to choose a test for comparing :
decline in preformance over time between two groups in the same treatment section(control have to had a better preformance than treated ) , also comparing ( sever decline in treated group over tim between there two treatment section , while control have to had slight decline ) .
A have a lot variables for applying ANOVA with repeated measures :
1. time
2. Groups -control and treated
3. first Treatment section measures
4. second Treatment section measures.
I have tried to read a lot about many tests I still dont know which one can answer my question .
I hope someone can Help!
Thanks .
Google "Lord's Paradox". Here is a recent paper that includes several references. https://www.degruyter.com/view/journals/edu/2/1/article-p45.xml
The choice of method depends on several aspects of the design and expectations. Were the people randomly allocated into the two groups?
The subjects were divided into two groups according to criteria.
The purpose of the study ,to approve this division using different method.
Rawan Ibrahim , are the selection criteria related (causally, associated, etc.) with the measures?
Hi Dan,
You have repeated measures in two groups. I'd go for an independent or (univariate/SPSS) ANOVA,
A
Alex H. Mcintyre how does this answer make any sense?? There are several ways to analyze this (and Daniel Wright tries to figure out which is appropriate by asking question), but non of the method is (I am pretty sure) to ignore the repeated measures and just compare the independent groups with each other.... what would this tell you?
Then I have clearly misunderstood the question. Apologies, I will leave you to it,
A
It's better to fix your hypothesis first. Based on that we can bifercate your facters for Anova / Repeated Anova.
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