Multiple Regression

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Question Description

For this Discussion, you will post your response to the hypothesis test, along with the results. Create a research question using the General Social Survey that can be answered by multiple regression.

Use SPSS to answer the research question. Post your response to the following:

  1. What is your research question?
  2. What is the null hypothesis for your question?
  3. What research design would align with this question?
  4. What dependent variable was used and how is it measured?
  5. What independent variable is used and how is it measured?
  6. What other variables were added to the multiple regression models as controls?
  7. What is the justification for adding the variables?
  8. If you found significance, what is the strength of the effect?
  9. Explain your results for a lay audience, explain what the answer to your research question.
Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.

Required Readings

Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications.

  • Chapter 12, “Regression and Correlation” (pp. 325-371) (previously read in Week 8)

Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.

  • Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, and 8)

Unformatted Attachment Preview

Student Name: Date: Research Design Alignment Table | Using an alignment table can assist with ensuring the alignment of your research design. Research Problem, Purpose, and Framework Research Question(s), Method, & Design Provide one sentence for each. These must align with all rows. List one or more RQs, as needed; select method; identify design. Use a separate form for additional RQs. Problem: RQ1: Data Collection Tools & Data Sources List the instrument(s) and people, artifacts, or records that will provide the data for each RQ. Data Points List the variables, specific interview questions, scales, etc. that will be used for each RQ. Data Analysis Briefly describe the statistical or qualitative analysis that will address each RQ. Select Method Purpose: Design: RQ2: Framework: Select Method Design: RQ3: Select Method Design: Note. The information in the first column must align with all rows, and each individual RQ row must show alignment across the columns for that row. Once your Research Design Alignment Table is completed, reflect on your design alignment. Ask yourself: 1. Is there a logical progression from the research problem to the purpose of the study? 2. Does the identified framework ground the investigation into the stated problem? 3. Do the problem, purpose, and framework in the left-hand column align with the RQ(s) (all rows)? 4. Does each RQ address the problem and align with the purpose of the study? 5. Does the information across each individual row match/align with the RQ listed for that row? • • • By row, will the variables listed address the RQ? By row, will the analysis address the RQ? By row, can the analysis be completed with the data points that will be collected? ...
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pallveechem123
School: UIUC

Attached.

MULTIPLE REGRESSION

Multiple Regressions
Name

1

MULTIPLE REGRESSION

Multiple Regressions
Question
Does the level of education, hours spent watching television, and hours spent working
every week has an effect on someone’s income?
Null hypothesis
A person’s income or salary cannot be explained by his level of education, hours he
spend watching television, and the hours he spend working every day (Fisher et al., 2018).
Research Design
This can be viewed as a correlation study. Correlation study or research designs are
usually used when we have more than one quantitative variable which are considered to be in the
same group of items or subjects. For this reason, our main intention will be determine if there is
an actual relationship between the variables.
The Dependent Variable/ How It Is Measured
The dependent variable in our case is the income of the respondent. This can be
considered as a metric variable and is usually measured by using an interval scale (Fisher et al.,
2018).
Independent Variable/How it is measured
The independent variable in this particular case is the actual number of hours the person
works in a week. For this reason, we can also co...

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