Hello Shebli,
The best choice depends on:
1. The nature of your measured variable/s, especially how it/each is quantified and whether measurement error is possible;
2. Whether other variables (e.g., one or more covariates) are involved;
3. The specific hypothesis/hypotheses you wish to evaluate;
4. How data were collected.
If you don't mind elaborating your query just a bit, I'm sure you'd get more focused recommendations for how to proceed.
Good luck with your work.
Also depends on how people are allocated to the control and experimental conditions ( bpspsychub.onlinelibrary.wiley.com/doi/abs/10.1111/bjep.12300 ). Was this a true experiment?
It mainly depends on your research design and the data. e.g., you can use ANOVA to compare within-subject changes over time and between-group differences in these changes, or you can use ANCOVA to see if the post-test scores of the experimental group are significantly different from those of the control group while controlling for pre-test differences.
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