I have a set of sample data for the following scenario already entered into SPSS

Question

I have a set of sample data for the following scenario already entered into SPSS:

You are the director of Institutional Research at a small state university and you have been given the task of gathering information for the dean of the School of Education regarding the performance of their undergraduate students on the Graduate Record Exam (GRE). Data on six variables were collected: gender, overall grade point average (GPA), major GPA, GRE scores in major area, GRE quantitative, GRE verbal, and type of preparation programs. The university is dedicated to maximize student success on the GRE. The university has established five different options for students to prepare for the GREs: option 1 = completely online asynchronous prep course, 2 = completely online synchronous prep course, 3 = complete a hybrid prep course with a combination of online and face to face; 4 = complete a traditional instructor led prep course, and 5 = self-paced paper based prep course.

The dean has simply asked you, “Tell me what works best and for whom?” You decide to establish a pilot study with 50 randomly selected general science education seniors to determine the details of the methodology as well as to provide some initial data and corresponding results to learn if the research plan meets the dean’s needs.

I have the following research question and hypotheses:

Q1. Which preparation program produces student with the highest overall GRE score?

Ho1. There is no difference in GRE score based on preparation program.

Ha1. There is a difference in GRE score based on preparation program.

Which statistical test in SPSS would I conduct and why?

**** I have SPSS and part of the assignment is to run the test in SPSS and include the output. I just need to know which test to run and why.

Explanation / Answer

Since here we need to test to find the best GRE preparation program out of 5, which means that we need to test if the means of these 5 programs are same or not, therefore, we need to apply ANOVA (Analysis of Variance) test in this matter.

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