Causes of Death
Using the CDC website, conduct a search to compare the causes of death among two ethnicities of the same age or two ages of the same ethnicity of your chosen aggregate.
Discuss your selection and the results. Cite two sources to explain your results.
Also read:
- Causes of Death Among Two Ethnicities
- Question: Q: Chapter Chapter 11 of Mertler and Vannata; answer exercises on pages 306 and 307: This exercise utilizes the SPSS data setprofile-e.sav, which can be downloaded from this Web site: www.Pvrczak.com/data Conduct a Forward: LR logistic regression analysis with the following variables: IV—age, educ, hrsl, sibs, rincom91, life2 (categorical) DV—satjob2 Note: The variable Iife2 is categorical such that dull = 1, routine/exciting = 2, and all other values are system missing. Develop a research question for the following scenario. Conduct a preliminary Linear Regression to identify outliers and evaluate multicollinearity among the five continuous variables . Complete the following: a. Using the Chi-Square table in Appendix B, identify the critical value atp< .001 for identifying outliers. Use Explore to determine if there are outliers. Which cases should be eliminated? b. Is multicollinearity a problem among the five continuous variables? Conduct Binary Logistic Regression using the Forward: LR method. IV—age, educ, hrsl, sibs, rincom91, life2 (categorical; last is the reference category) DV—satjob2 Note: Make sure that any outliers identified in Exercise 2a are removed from data before running the logistic regression. Also, designating life2 as a categorical covariate with the last category as the reference, essentially makes "routine/exciting" = 0 and "dull" = 1, so interpret the results accordingly. a. Which variables were entered into the model? b. To what degree does the model fit the data? Explain. c. Is the generated model significantly different from the constant-only model? d. How accurate is the model in predicting job satisfaction? e. What are the odds ratios for the model variables? Explain. Module 14 – Multi-level linear analyses: When do you use multi-level linear analyzes? Chapter 8 of Cronk (chapter below I wasn’t sure what was being asked) and answer all practice exercises; post your results here:
- Biddle and Hamermesh (1990) built a multiple regression model to study the tradeoff between time spent in sleeping and working and to look at other factors affecting sleep: Sleep = β0 + β1 totwrk + β2 educ + β3 age + ε where sleep and totwrk (total work) are measured in minutes per week and educ and age are measured in years. Suppose the following equation is estimated: Sleep = 3500 – 0.15 totwrk – 11.20 educ + 2.29 age + ε Discuss what would happen to someone’s sleep if they choose to work more. Analyze whether the factors of totwrk, educ, and age are enough factors to explain the variation in sleep. Explain which additional factors should be explored in order to explain the variation in sleep. Provide your reasoning.
- Sociologists make clear distinctions between race and ethnicity and use the terms to describe different kinds of categories and identities. These consequences are real for persons who are assigned to these concepts. What does race mean? What does ethnicity mean?
- Describe the term “family” to someone who has never heard the term before. How do race, ethnicity and gender intersect with class to create inequality among families?
- Discuss and differentiate between the causes of acute and chronic abdominal pain in a 20-year-old versus a 50-year-old male. Provide a rationale for including the appropriate differential diagnoses in each age group.
- Mental and Emotional health among children group age of 6
- Among college-age students (18-24 years old), 9.2% have hypertension