statistics discussion question and need the explanation and answer to help me learn.
Predicting Academic Success
Background
Review the different variables you can use as predictors in a regression model. Do design a study predicting academic success among community college students.
Imagine that you are a researcher examining factors that affect academic success among community college students. You are going to use multivariate regression to examine success, so you can include multiple variables. What will you measure? Or in other words, what do you think some of the important things are that impact success among CC students? In your initial post, you must describe at least three variables that you think will affect academic success and how you would measure them (e.g., how you would ask the question and what the possible responses would be). Your variables must include:
At least one numerical or Likert scale predictor
At least one binary categorical predictor
At least one categorical predictor with multiple categories
1b.
Respond to the following this student post below -Feedback or questions clarifying something about the post. Your own reflections on whether or not you think these variables would impact academic success and why
Variables that may impact academic success among community college students could include:
1. Numerical or Likert scale predictor: Study hours per week
– Question: “On average, how many hours per week do you spend studying for your community college courses?”
– Possible responses: 0-5 hours, 6-10 hours, 11-15 hours, 16-20 hours, more than 20 hours
2. Binary categorical predictor: Employment status
– Question: “Are you currently employed while attending community college?”
– Possible responses: Yes or No
3. Categorical predictor with multiple categories: Support network
– Question: “Who do you turn to for academic support and guidance? Select all that apply.”
– Possible responses: Family, Friends, Faculty/Instructors, Academic Advisors, None of the above
By including these variables in a multivariate regression analysis, you can examine the relationship between academic success and factors such as study hours, employment status, and the presence of a support network. This analysis could provide insights into how these variables contribute to academic achievement among community college students.
1c.
Respond to the following this student post below -Feedback or questions clarifying something about the post. Your own reflections on whether or not you think these variables would impact academic success and why
Variables that may impact academic success among community college students could include:
1. Numerical/Likert Scale Predictor: Time Management Skills
Measurement: On a scale of 1 to 10, how would you rate your ability to manage your time effectively for academic tasks?
Responses: 1 (Poor) to 10 (Excellent)
2. Binary Categorical Predictor: Employment Status
Measurement: Are you currently employed while attending community college?
Responses:
Yes
No
3.Categorical Predictor with Multiple Categories: Study Environment
Measurement: Where do you usually study for your courses? (Select one)
Responses:
Library
Home
Campus Study Halls
Other (Specify)
By considering factors like study surroundings, external obligations like jobs, and time management abilities, these variables seek to capture every aspect of a student’s academic path. The relationship between these variables in determining community college students’ overall academic success can be shown via multivariate regression analysis.
Requirements: see above
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