PADM 504 Lesson 10 Practical Exercise Categorical Outcomes

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Dec 6, 2023

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Lesson 10 Practical Exercise: Categorical Outcomes John doe School of Public Affairs: Pennsylvania State University PADM 504, Section 001: Data Analysis for Policy and Administration Professor Lauren Azevedo November 1, 2022
Purpose The purpose of this test is to test whether neuroticism, extroversion, and sex predict the likelihood that a student would participate in your study. Based on my findings, I will be able to determine what types of students should be recruited for the study. Method The data for Lesson 10 Practical Exercise: Categorical Outcomes comes from the Cowles.csv dataset provided in the lesson assignment. The variables that will be used will be Volunteer : 0 for would not volunteer, 1 for would volunteer for the study which is the dependent variable, and the other variables will be Neuroticism : Eysenck’s Personality Inventory measure of neuroticism. It ranges from 0 (stable) to 24 (neurotic)., Extroversion : Eysenck’s Personality Inventory measure of extroversion. It ranges from 0 (introverted) to 24 (extroverted)., and Sex: Female: 0 for male, 1 for female. The Cowles.csv dataset will be put into JASP and a Logistic Regression will be conducted with (volunteer) being the dependent variable and Neuroticism and Sex being the Covariates. A Logistic Regression will also be conducted for Extroversion as well using the same steps as was done for Neuroticism. Conducting these tests will determine whether a neuroticism or extroversion student should be recruited for the study. Results As you can see in figure one for Logistic Regression for Neuroticism it is indicated that the P value for the volunteer was 0.001 and is Less than 0.05 this means that there is a relationship with the variables that are being tested. The P Value for neuroticism is 0.954 and is greater than 0.05 meaning that there is no relationship between the variables being tested. The P value for Sex is 0.024 and is less than 0.05 meaning that there is a relationship between the variables being tested. As for the standard error and odds ratios as you can see in figure one the intercept standard error is 0.143 and the odds ratio is 0.627 meaning that it is greater than the standard Figure 1 Logistic Regression Neuroticism
Results cont. error and means that there is a positive relationship. The standard error for neuroticism is 0.011 and the odds ratio is 1.001 meaning that there is a strong relationship between neuroticism and volunteer. The standard error for sex is 0.110 and the odds ratio is 1.282 meaning that there is a strong relationship between sex and volunteer. As you can see in figure two for Logistic Regression for Extroversion it is indicated that the P value for the volunteer was 0.001 and is Less than 0.05 this means that there is a relationship with the variables that are being tested. The P Value for Extroversion is 0.001 and less than 0.05 meaning that there is a relationship between the variables being tested. The P value for Sex is 0.024 and is less than 0.05 meaning that there is a relationship between the variables being tested. As for the standard error and odds ratios as you can see in figure two the intercept standard error is 0.196 and the odds ratio is 0.280 meaning that it is greater than the standard error and means that there is a positive relationship. The standard error for Extroversion is 0.014 and the odds ratio is 1.068 meaning that there is a strong relationship between Extroversion and volunteer. The standard error for sex is 0.109 and the odds ratio is 1.280 meaning that there is a strong relationship between sex and volunteer. Discussion and Policy Implications/Recommendations Based on my finding and results from the logistic regression tests done. My recommendation for the best student that should be recruited for the study would be females that are Extroversion. This is because females that are Extroversion are more likely to volunteer for the study based on the findings from the logistic regression tests. Thus, resulting in more accurate data due to their likelihood of volunteer participation in the study. Figure 2 Logistic Regression for Extroversion
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