Part A: Replicate the Logistic Regression SPSS Demonstration and Interpretation Example HW 3 from the handout posted in the Module 3 folder. Complete the assignment from the handout. Use GSS 2018. The...

pls let me know how much will cost homework ?


Part A: Replicate the Logistic Regression SPSS Demonstration and Interpretation Example HW 3 from the handout posted in the Module 3 folder. Complete the assignment from the handout. Use GSS 2018. The example is done using 2004 data. Pert B: Complete the policy analysis example assignment. It is posted in the Module 3  folder. I choose articles to illustrate quantitative methods we learn in class based on quality of research and clarity of writing, not on novelty. When working on your own project you will be able to use wording and perhaps even structure of the research examples we read in class. Policy analysis example: David Houston, Liliard Richardson, Jr., and Grant Neeley. 1996. “Mandatory Seat Belt Laws in the States: A Study of Fatal and Severe Occupant Injuries.” Evaluation Review. 20 (April): 146-159. 1) What is the unit of analysis in this research? 2)     What are the two models presented in Table 1? 3)     How Y1 and Y2 are measured? 4)     How X10 is operationalized in Table 1? 5)    How can you prove that extending the law’s coverage to all passengers had a more pronounced effect on fatalities? Use the necessary information from Table 3. 6)    How can you prove that primary enforcement had a much greater impact on fatalities rates than secondary enforcement? Use the necessary information from Table 2. 7)    What dummy variables were used in Table 2? 8)     Describe level of measurement and unit of measurement of all variables presented in Table 3? # Name Level of Measurement Unit of Measurement Y1 Y2 X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11  9)    What cascading effect had the authors assumed reporting the results? Why it was not possible to prove beyond any reasonable doubt that this effect exists? 10) What does “negative” and “positive” (in the parenthesis) mean in describing twelve hypotheses on pages 149-151? 11) [Extra credit]: What does t mean in the two formulas on page 151? Logistic Regression Additional Clarification on Coding of Ordinal and Nominal Variables (Categorical) For categorical variables SPSS creates dummy variables and assigns reference categories automatically. By default the last category becomes the reference category. The reference category is not included in the regression analysis. From our logistic regression example: Variable happy has three categories happy1(very happy) happy2(pretty happy) happy3 (Not too happy).  Automatically happy3 is not included into analysis and serves as a reference category. The interpretation should be the following: very happy people compared to not too happy people ...... Usually analysts choose the largest category to be the reference category, or the one that logically helps the interpretation. For the above example each of the first two categories is about happy people, so it is logical to compare very happy people to not too happy people; and pretty happy to not too happy. For the variable race the largest category is White. That is why White is chosen to be a reference category and is excluded from the analysis. When the last category does not seem to you as a good reference category SPSS gives an option of changing the reference category to the first category. In the Define Categorical Variables window Choose First and hit the Change button - then Continue. In case of variable race, since we have chosen the first category (White) as a reference category, SPSS recodes the remaining four categories. Now the category that was number 2 now became number 1, the category 3 is now number 2 etc. So the category race1 is now Black, race2 is American Indian  etc. White is not included into regression  - see the Categorical Variables Codings table - for White  we have all zeros. Reread again pages 5 and 6 in the logistic example.  Sometimes you want one of the middle categories to be your reference category. In order to do that, before running the logistic regression, you have to recode the variable so that your desired reference category is either the first or the last one. To recode a variable go to Transform (on the SPSS menu) – Recode into different variables – and recode your variable accordingly. Don’t rush and be patient when working with the data set. When interpreting logistic regression, report the results only. Please do not copy and paste my detailed explanations from the logistic examples. To avoid interpretation mistakes take your time to know the variables codes. Respectfully, Elena Kulikov