Thank you sir for this information. Why you wrote (pre-experimental research) in the Video Title?? It confuse me a little bit can you please explain this...Actually I want to ask can we use (pre-post experimental research) here or not?
Hi Tania, good question. Pre-experimental designs can be used with a smaller sample before your main experiment to find the flaws in your research design. Think of it like a 'practice run' before you actually collect data from your main sample. You can include findings from pre-experimental as well post-experimental to confirm your research findings. Hope this is clear?
Should I keep same questions in pre-test and post-test for checking the difference? I am looking for the significance of a method to improve Grammar Skills.
Ideally, the pre-test should reveal if questions should be kept same or revised. The revisions should not be significant. If you have to change the questions significantly, another pre-test or a pilot test should be carried out.
Sir, thanks very much for this video. Kindly oblige me a question: What is the most appropriate statistical test to compare the pre- and post-test results in this kind of study design? For example, assume we are comparing the scores of a group of students on a particular topic before and after teaching them the topic. Looking forward to your kind insight. Regards!
It depends on your RQ and what you are trying to find out, but u can use a correlational study if you are trying to correlate the student scores to factors which lead to more marks.
@Search Research Thank you for your prompt reply, Sir. I agree that uni/multivariable linear regression is appropriate to answer the question you described. However, in the context of my question, the RQ is simply to determine if the change in scores between the pre- and post-tests is statistically significant or not. Let me make the question more vivid: Assume we want to determine if there is a significant change in knowledge (using marks scored in a test) after exposing a class of 14 students to a teaching session on skydiving. We need to compare their pre-test scores and post-test scores for statistical significance. I feel a t-test would not be applicable since this study design involves a SINGLE group of students receiving the exposure/ intervention. But then, I'm not sure what the best approach will be. Kindly help clarify. Many thanks!
@@braveheartii1534 I think a t-Test (degree of freedom) with a P(two-tail) assuming unequal variance to support it would fit here. I understand that the groups of students is the same but you can explain the 'learning effect' caused due to the extraneous variables. Hope this helps.
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