Testing For Multiple Regression

 Please follow the assignment requirements that are attachment closely!!!!!

You had the chance earlier in the course to practice with multiple regression and obtain peer feedback. Now, it is time once again to put all of that good practice to use and answer a social research question with multiple regression. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are metric level variables.

Part 1

To prepare for this Part 1 of your Assignment:

  • Review this week 9 and 10 Learning Resources and media program related to multiple regression.
  • Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.
  • Based on the dataset you chose, construct a research question that can be answered with a multiple regression analysis.
  • Once you perform your multiple regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.

For this Part 1 Assignment:

Write a 1- to 2-page analysis of your multiple regression 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.

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.

Week 10 Assignment How To Complete The Assignment

 

Part 2 is a repetition of this Week’s Discussion requirement. You are not required to submit Part 2 of this assignment.

 

Review the Week 10 Course Materials

 

Use the dataset for this discussion

 

For Part 1 identify 2 independent variables (IV1 and IV2) and their Level of Measurement.

Identify a dependent variable (DV) and its Level of Measurement. The DV must be interval or ratio.

 

Write a research question for multiple regression. Use this format:

 

What is the relationship between IV1 and IV2 (state the IVs) and the DV (state the DV)?

 

Write the null hypothesis. Use this format:

 

There is no relationship between IV1 and IV2 and the DV.

 

State the research design and support your design choice. Here are your design choices:

-Descriptive

-Correlational

-Causal-Comparative/Quasi-Experimental

-Experimental

 

Write the null hypothesis. Use this format:

 

There is no relationship among IV1 and IV2 and the DV.

 

Use SPSS to answer the research question.

 

Now run your multiple regression by following the same steps (with some additions) that you used in the Week 9 Discussion:

 

Open the data set, select Analyze, select Regression, Select Linear, drag IV1 and IV2 into the Independent(s) box and the DV into the Dependent box, click Statistics, check Estimate, check Model Fit, check Collinearity diagnostics and click Continue. Click Plots, drag *ZRESID into the Y boxdrag *ZPRED into the X box, check Normal Probability plot and click Continue

 

Review the Sig. value in the SPSS Output under ANOVA and decide to reject or fail to reject the null hypothesis.

 

If you reject the null and determine that the ANOVA is statistically significant, report and explain the effect size. Effect size is found under R square in the Model Summary.

 

If you fail to reject the null hypothesis, select new variables and repeat 1-3 steps above.

 

You must discuss assumptions for multiple regression. These assumptions are: normality, linearity, homoscedasticity and multi-collinearity:

 

Identify each assumption, decide if the assumption is met or not met, and explain the rational for your decision. Use the SPSS Output for Estimate, Model Fit, Collinearity diagnostics and Plots to support your decision.

 

Write the regression equation. Here’s how:

 

Examine the Coefficients output and identify the Constant value under Unstandardized Coefficients in column B and the coefficient values for IV1 and IV2 directly below the Constant value. Write your regression equation in this format:

DV = Constant value + IV1(coefficient value) + IV2(coefficient value), but substitute the names of IV1, IV2 and the DV and the actual Constant value and coefficient value for IV1 and IV2.

 

Discuss implications for social change.

 

For Part 2:

 

Part 2 is a repetition of this Week’s Discussion requirement. You are not required to submit Part 2 of this assignment.