I am not familiar with Jamovi, but yes, it does sound like a straight forward t-T would provide the comparison that you need.

No problems with that at all. If you had more than one dependent variable the answer might be different.

In your study, where you have two groups (Group A and Group B) and you want to compare the memory retention of students who drink coffee (Group B) with those who do not (Group A), using an Independent t-test could be an appropriate statistical analysis.

The Independent t-test is commonly used to compare the means of two independent groups and determine if there is a statistically significant difference between them. It assesses whether the difference in means between the two groups is larger than what would be expected due to random chance.

However, it's important to note that a quasi-experimental design may have certain limitations compared to a true experimental design. Quasi-experimental studies lack random assignment of participants to groups, which can introduce potential confounding variables that may impact the results. Therefore, it's essential to carefully interpret and discuss the limitations of your study design.

Before conducting any statistical analysis, it's advisable to consult with a statistician or an experienced researcher who can evaluate your study design, research questions, and data to provide specific guidance tailored to your research context.