Answer :
Answer:
In this situation, the most suitable type of study for data collection would be a correlational study. This type of study allows the researcher to assess the relationship between two variables: attendance in a SAT Prep class and SAT scores.
The researcher could collect data from students who have attended the prep classes and compare their SAT scores to those who have not attended. It's important to note that while this study can identify whether a correlation exists, it will not establish causation. If the researcher wants to further explore the causal relationship, they might consider conducting a controlled experiment or a longitudinal study.
A correlational study is the most suitable type of study for data collection in this situation.
This type of study allows the researcher to examine the relationship between two variables: attendance in a SAT Prep class (independent variable) and the scores achieved on the SAT Examination (dependent variable).
Correlational studies can be conducted using observational data or surveys to analyze existing relationships without manipulating any variables.
If the researcher wishes to establish a stronger basis for the correlation, they could also consider a quasi-experimental study, where they might compare scores between groups of students who attended prep classes and those who did not, while controlling for other factors like socioeconomic status or prior academic performance.
A correlational study would be the most straightforward approach to start with.
