Test 1 Review
Here are some review question to help focus your
studying. Bring questions to class. Good luck.
1. From lecture, what distinguishes a research
topic from a research question? A research question from a testable hypothesis? (Hint:
Consider the function of variables)
2. What is meant by
linear and nonlinear paths of research?
What this means for qualitative and quantitative research questions?
3. From the text, why
are variables important in quantitative research? Why might they problematic
for qualitative research? From lecture, what is the difference between the
independent and dependent variables? From tutorial, what’s a trick for
distinguishing between them?
4. In you own words, why
doesn’t qualitative research typically begin with a hypothesis?
5. According to lecture,
most errors in reason are a result of what?
6. Understand the
breakdown of a hypothesis statement. For example: Smoking one or more packs of
cigarettes per week increases risk of lung cancer by 20%. Answer the following questions.
- What are the independent and dependent
variables?
- What kind of relationship is implied?
- What would be the null hypothesis?
- What is the research question?
- From the text and lecture, why are
hypotheses never proven?
- In your own words, what is the "process
of a hypothesis" over time? How might this process apply to the
smoking example?
7. What is the
difference between the ecological fallacy and the error of reductionism? Consider the difference between the follow
statements.
- I’ve seen an awful lot of people in
California driving Hybrid cars. As a result, the California state
government is going to give tax breaks to people who purchase Hybrids.
- Hybrids are now the top selling car in
California. Chris is from
California, therefore he’s probably going to purchase one too.
8. What’s the difference
between an ontological position and an epistemological one? Why does it matter for methodology?
9. What are the
different characteristics associated with qualitative and quantitative types of
research? Although these dichotomies are
more flexible in actual research, why are they a useful way to learn about
research types?
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