SPSS – Testing for Multiple Regression

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This Assignment includes two parts, Part 1 and Part 2. For this Assignment, you will complete Part 1 where you will create a research question that can be answered using with multiple regression analysis.

Part 1

To prepare for this Part 1 of your Assignment:

  • Review this week’s Learning Resources and media program related to multiple regression.
  • Using the SPSS software, open the General Social Dataset 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.

Professor’s Notes on How to Complete Assignment:

Week 10 Assignment: How To Complete The Part 1 Requirement

Review the Week 9 Course Materials

Use the General Social Survey (GSS) dataset for this Assignment

Identify 2 independent variables (IV1 and IV2) and their Level of Measurement. The IV1 and IV2 can be interval, ratio, nominal, or ordinal.

Identify the 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 IV2s (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.

Use SPSS to answer the research question. Here’s how:

  1. Open the GSS data set, select Analyze, select Regression, Select Linear, drag IV1 and IV2 into the Independent(s) box and the DV into the Dependent box, and click OK.
  2. Review the Sig. value in the SPSS Output under ANOVA and decide to reject or fail to reject the null hypothesis.
  3. 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.
  4. If you fail to reject the null hypothesis, select new variables and repeat 1-3 steps above.

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. Here’s an example:

If Socioeconomic Status is the DV, Age is IV1 and Highest Degree is IV2, then your equation could look like this:

Socioeconomic status = 15 + (.114)(Age) + (11.3)(Highest Degree)

Do not use these numbers. Do your own calculations

Discuss implications for social change”

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