I want to compare three different groups; one control + two experimental groups (one with training and one without training provided) to measure the impact of an independent variable on the other three dependent variables in an EFL learning context. The study is quasi-experimental, measuring the differences between the post-test results for the three groups and the effect size of the independent variable.
What are the proper statistical analysis tools and the best way to interpret the results?
I really appreciate any help you can provide.
Hello. Have you thought of using questionnaires using the Likert scale?
Article Likert Scale: Explored and Explained
Article The Likert scale revisited: An alternate version
Article Substantive Scale Verification: A Likert Scale Analysis and ...
Good luck!
Patrizia
Hi Abo,
I think that you can turn your data in a csv file and use this free software https://jasp-stats.org/ and, first of all, check with the Shapiro-Wilk test if the distribution of your data are gaussian or not. Depending on the p value of the previous test (p < 0,05), you would choose a parametric/ non parametric test. For more than 2 groups comparison you have to choose ANOVA or Kruskall Wallis (X2 ou H)
What is EFL ?
Best
Your choice is basically between Ancova, Anova and Repeated Measures Anova. The issues involved in making the choice are discussed here:
https://stats.stackexchange.com/questions/25232/ancova-or-repeated-measures-anova
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