Binary Logistic Regression

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Last week you explored categorical relationships including conditional probabilities, conditional odds, logits, odds ratios, relative risk, and slopes in the discussion. In the SPSS statistics assignment, you conducted a simple logistic regression analysis (one independent variable and one dependent variable) to begin to explore this statistical test and odds ratios. This week you start to fit models using multiple predictor variables that are continuous and categorical. As you learned with regression, you often need to construct models that move beyond bivariate analysis to control for other variables. In this sense, logistic regression is very similar except that you use a dichotomous outcome variable and interpret odds ratios rather than unstandardized coefficients. This week you will build on the simple logistic regression analysis did last week. You will use the same two variables (one independent variable and one dependent variable) you used in your SPSS analysis last week and add a second independent variable to the analysis. How has your statistical significance and odds ratio changed by the introduction of the second independent variable? Use the one independent variable and one dependent variable you used to conduct your simple logistic regression analysis in Week 4.
Add a second independent variable to your analysis (multiple logistic regression).
Remember that your dependent variable must be dichotomous/binary.
Think about how you might use the odds ratio in your analysis to simplify the interpretation of your results.
How has your statistical significance and odds ratio changed by the introduction of the second independent variable?
The Assignment

Use SPSS to answer the research question you constructed. Write an analysis in APA format, including title page, references, and an appendix, that includes your data output and addresses each of the tasks listed above. The content should be 2 pages, including setup of the assignment and a discussion of whether the predictive relationship is statistically significant as well as the odds ratio and what it means. Your SPSS output should be included as an appendix.
Early in your Assignment, when you relate which dataset you analyzed, please include the mean of the following variables. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the General Social Survey Dataset, report the mean of Age. If you are using the HS Long Survey Dataset, report the mean of X1SES. See page 1032 in your Warner textbook for an excellent APA-compliant write-up of a binary logistic regression analysis.
Resources:
Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: SAGE Publications

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