The experimental group is divided into 2 subgroups (one with 6 students and one with 5), which were divided based on frequency of how often they did a particular activity over several weeks.
The control group (9 students) did not do this activity at all.
The aim is to see the effect of this activity on oral fluency by comparing the results of the 2 subgroups and the control group.
I'm not sure if I'm supposed to do a one way anova test or an independent samples t-test? And how do I first make sure that the data I have is suitable for the test that I should do? It is my first time doing any type of statistical test
Thank you for your help in advance.
In this case you have three groups, one with zero activity (control), and two other groups which did activity in a given level. You can perform one way ANOVA to compare the means of oral fluency of these three groups. Your factor is the frequency of the activity, which should be a nominal variable with three categories ( groups).
Hello Yara,
I agree with Eliana Ibrahimi , but you should realize that this comparison will not have very good statistical power to detect differences, unless those differences are very large. The reason is the small number of cases per group (sample size).
Good luck with your work.
Thank you for your answers. Would anyone happen to have any links for further reading for a beginner about how to ensure that my data is valid for anova (including factors like normal distribution and homogeneity of variance)?
Also is it acceptable in a research for a master's degree thesis to only do descriptive analysis without performing any statistical tests such as anova? Considering the sample size is quite small as Mr. David Morse mentioned.
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