Binary logistic regression in spss

Assignment Help Applied Statistics

Reference no: EM132372816

Multiple Logistic Regression

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.

Countless times, you have probably heard someone ask, "What are the odds?" At the conclusion of this week, you will be able to act as a statistical guru, educating others about what they are actually asking. Moreover, given data, you will be able to model these odds and provide meaningful results.

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?

Assignment: Binary Logistic Regression in SPSS

To prepare
• 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. Then, compose a 1- to 2-paragraph analysis in APA format including discussion of if the predictive relationship is statistically significant and the odds ratio and what it means.

Be sure to include your data output with your analysis. See page 1032 in your Warner textbook for an excellent APA-compliant write-up of a binary logistic regression analysis.

Assignment 2: Article Critique
The practice of quantitative research not only involves statistical calculations and formulas but also involves the understanding of statistical techniques related to real-world applications. You might not become a quantitative researcher nor use statistical methods in your profession but as a consumer, citizen, and scholar-practitioner, it will be important for you to become a critical consumer of research, which will empower you to read, interpret, and evaluate the strength of claims made in scholarly material and daily news.
For this Assignment, you will critically evaluate a scholarly article related to logistic regression.

To prepare
• Review the Article Critique Assignment Guide in the Walden Library, listed in the Week 2 Learning Resources.
• Search the Walden Library for a quantitative article that applies binary logistic regression.

The Assignment
Write a 2- to 3-page critique of the research you found in the Walden Library that includes responses to the following prompts:
• Why did the authors select binary logistic regression in the research?
• Do you think this test was the most appropriate choice? Why or why not?
• Did the authors display the results in a figure or table?
• Does the results table stand alone? In other words, are you able to interpret the study from it? Why or why not?

Reference no: EM132372816

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