Halo Every one
I was working on my thesis using a quasi-experiential study design. what is the appropriate sample size calculation technique and method of statistical analysis for a pretest and posttest quasi experimental study?
I don't know what your calculation tool is. It is relatively easy to use simple (A versus B) t-test calculations to determine sample size (pre-test) and significance (post-test). Can be done in R or even Excel. Search on "sample size in R" or "sample size in Excel." I used to have a simple Excel calculator but I can't seem to find it.
You can use the G*Power program to estimate the necessary power of a t-Test for your study.
You may use the APP. "The a priori procedure (APP) is designed as a predata procedure where the goal is to estimate the sample size needed for sample statistics to be good estimates of corresponding population parameters." Please see Article Making the A Priori Procedure Work for Differences Between Means
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