Help file.pdf (page 103 of 839)-Edited Watch the Sociology on the Street video t
ID: 3471654 • Letter: H
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Help file.pdf (page 103 of 839)-Edited Watch the Sociology on the Street video to hnd out more: wwnpag. QUESTIONS FOR REVIEN 1. What is the difference between causality and correlation? Use the example from the beginning of the chapter, on the link between health and income, to illustrate this difference. 2. Describe one of the studies discussed in this chapter, its methodology (e.g. interviews), and its general findings. Then imagine how an additional study using a different methodology (eg. comparative research) might build on these findings and generate new questions 3. A sociologist observes the work seeking hablts of wellare recipients Alter weeks of observation trends emerge and the researcher torms a theory about the behaviors of this group. Is the sociologist in this example using a deductive or inductive approach? How would the sociologist study this phenomenon using the other approach? H. Participant observation research is often long, painstaking and personally demanding for the sociologist. Why bother with this data collection method? Use the example of Mary Patillo's research to support your answer 5. Surveys are complicated to design costly to administer, and potentially suffer from response bias with respect to who answers them. Why use this data collection method? Draw on the case of the General Social Survey to support your answer Why do sociologists have to run their projects by institutional review boards? What are the 'golden rules' sociologists should keep in mind when conducting 6. research?Explanation / Answer
1. Correlation refers to understanding the cause-and-effect 'relationship' between two variables. In the above case, the researcher wants to understand the impact or the effect of income on health. Income in the independent variable and health is the dependent variable. The researcher computes the two-tailed test to measure whether the independent variable correlates positively or negatively with the dependent variable. A .05 level of significance proves that there is a positive correlation between income and health. As one's income increases, their health also increases, which suggests it is a positive correlation.
Correlation is only the relationship between two variables. Causation on the other hand is the cause and effect phenomena between two variables. Causation makes us conclude that low income is the cause for poor health conditions or higher income is the case for good health. Correlation is the relationship between two variables and causation is the cause and effect phenomena which explains that one event is the result of the occurrence of the other event.
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