The work samples here are from the Winter 2022 EDS103 course. This is a new course that I developed being first offered in the 2020-2021 academic year. The learning goal for this course is to introduce undergraduate Education Science majors to basic quantitative research methods. This course, along with EDS102 Introduction to Qualitative Research Methods, make-up the research domain of the major.
This assignment is the capstone project of the course. Students are given a real-work prompt and a dataset from an actual published study conducted with two high schools.
You will be taking on the role of educational researcher. There is a setting, a problem, and the collected data. It will be up to you to review the data and make a final recommendation. Our overarching question for this data is to find what variables or factors have the largest impact, relationships, and associations with student math assessments?
The Setting: In this final, you will be taking on the role of educational researcher. There is a setting, a problem, and the collected data. It will be up to you to review the data and make a final recommendation. This data comes from a small school district with two high schools; Grand Palisades (GP) and Mount Sierra (MS). The data represents the 395 seniors attending the two schools. GP is a large comprehensive high school with 349 seniors. MS is a small high school with 46 seniors.
The Problem: The school district is concerned that their seniors are not performing well in mathematics. They want to gain a better understanding of the issues and challenges faced by the seniors. The research should be focused on the school, family, and community factors that may impact mathematics learning performance.
The Data: We will be working with the School Success dataset. This data set has 1 Dependent Variable that is of our main interest; the Final Grade received by the students. There are 15 Independent Variables or factors to consider.