Problem
1. What is it essential for qualitative researchers to listen to the recorded interviews?
2. What is part of the qualitative data analysis?
3. What is qualitative text data derived from?
4. How do researchers determine that data analysis is complete?
5. What is the difference between categorizing and conceptualizing?
6. What are descriptive statistics?
7. What are the four levels of measurement used to quantify variables?
8. What does a frequency distribution tell us?
9. What is a null hypothesis?
10. How would you define type I and type II errors?
11. If a researcher wants to test the relationship between two variables (or the difference between two groups), which statistical tests would be appropriate?
12. If the significance level for a study's hypothesis testing is set at p = 0.05 and the results of data analysis are found to be significant at p = 0.07, what can the researcher conclude?
13. What are measures of variability intended to describe?
14. When determining the significance level for hypothesis testing in a study, what factors should a researcher consider?
15. A researcher is interested in discovering if drinking ice water adversely affects patients who have had myocardial infarctions. Which type of error is it more important to control for in this study? Why?
16. If a study's purpose is to describe a population's characteristics, and no predictions are made, what type of statistical tests would be appropriate? Why?
17. How does the analysis contribute to the strength and quality of the evidence provided by the findings of a research study?