Description
In Week 9, you completed your Part 1 for this Assignment. For this week, you will complete Part 2 where you will create a research question that can be answered through multiple regression using dummy variables.
Part 2
To prepare for this Part 2 of your Assignment:
- Review Warner’s Chapter 12 and Chapter 2 of the Wagner course text and the media program found in this week’s Learning Resources and consider the use of dummy variables.
- Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources.
- Consider the following:
- Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results. Note: You are expected to perform regression diagnostics and report that as well.
- Once you perform your analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Part 2 Assignment:
Write a 2- to 3-page analysis of your multiple regression using dummy variables results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.
Use proper APA format, citations, and referencing for your analysis, research question, and display of output.
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Explanation & Answer
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Dataset HS Longitudinal
Tamillia Cherry
Walden University
Multiple Regression using dummy variables
For this paper, a study was conducted to explore the factors that influence the scale of
student's science self-efficacy. The independent variable of study was thus:
-
X1SCIEFF - T1 Scale of student's science self-efficacy
The factors being investigated were:
- X1TSEFF- T1 Scale of science teacher's self-efficacy
- C2NUMAPSCI - Number of AP science courses offered
- N1SCIYRS912 - Years science teacher has taught high school science
- C2XTRAMENTOR- School-arranged mentors for students needing extra help (Dummy
variable)
The Hypothesis for the study was:
Null: There exist no linear relationship between each of the factors and the scale of student's
science self-efficacy
Alternate: There exist a linear relationship between at least one of the factors and the scale of
student's science self-efficacy
A multiple regression test was carried out in SPSS and the following output was produced.
Analysis
The aim of the study was to explore whether a linear relationship exist between various
factors and the scale of student's science self-efficacy. The results of the multiple regression test
showed that the scale of science teacher's self-efficacy (β =0.031, p =0.005), and Number of AP
science courses offered (β =0....