1. Chapter 5 – 1 Chapter 9 Organization of Information and Measurement of Relationships: A Review of Descriptive Data Analysis

2. Chapter 5 – 2 Descriptive Data Analysis for: Nominal, Ordinal, and Interval-Ratio Variables Organize the Data into a Frequency Distribution Display the Data in a Graph Describe What is Average or Typical of a Distribution Describe Variability Within a Distribution Describe the Relationship Between Two Variables

3. Chapter 5 – 3 Data Analysis Flow Chart - Part 1

4. Chapter 5 – 4 Data Analysis Flow Chart - Part 2

5. Chapter 5 – 5 Descriptive Data Analysis for Nominal Variables: Example: Gender and Local Political Party Activism

6. Chapter 5 – 6 Nominal Measurement: Frequency Distribution

7. Chapter 5 – 7 Nominal Measurement: Graph

8. Chapter 5 – 8 Nominal Measurement: What is Average or Typical of a Distribution? Looking at table 9.1, we can see that the modal occupational sector for both men and women is “large business.”

9. Chapter 5 – 9 Nominal Measurement: Describe the Variability Within a Distribution IQV (men) = 0.52 IQV (women) = 0.86

10. Chapter 5 – 10 Nominal Measurement: Describe the Relationship Between Two Variables

11. Chapter 5 – 11 Descriptive Data Analysis for Ordinal Variables: Continuing Our Research Example…

12. Chapter 5 – 12 Ordinal Measurement: Frequency Distribution

13. Chapter 5 – 13 Ordinal Measurement: Frequency Distribution

14. Chapter 5 – 14 Ordinal Measurement: Frequency Distribution

15. Chapter 5 – 15 Ordinal Measurement: Frequency Distribution

16. Chapter 5 – 16 Ordinal Measurement: Graph

17. Chapter 5 – 17 Ordinal Measurement: Graph

18. Chapter 5 – 18 Ordinal Measurement: What is Average or Typical of a Distribution? Since the modes for education level differ in this instance, we want to report that information: “graduate school” for men, and “college” for women. Optionally, we may include the median, which is “college” for both men and women.

19. Chapter 5 – 19 Ordinal Measurement: Describe the Variability Within a Distribution For most variables in this studies, the ranges are the same; those similarities may be reported. What should be noted is that the range in level of education differs. The range is larger for men: from “less than high school” through “graduate school.” For women, it is “high school” through graduate school.”

20. Chapter 5 – 20 Ordinal Measurement: Describe the Relationship Between Two Variables

21. Chapter 5 – 21 Ordinal Measurement: Describe the Relationship Between Two Variables

22. Chapter 5 – 22 Ordinal Measurement: Describe the Relationship Between Two Variables

23. Chapter 5 – 23 Descriptive Data Analysis for Interval-Ratio Variables: Example: Education and Income

24. Chapter 5 – 24 Interval-Ratio Measurement: Frequency Distribution

25. Chapter 5 – 25 Interval-Ratio Measurement: Frequency Distribution

26. Chapter 5 – 26 Interval-Ratio Measurement: Graph

27. Chapter 5 – 27 Interval-Ratio Measurement: (1)What is Average or Typical of a Distribution? (2) What about the Variability?

28. Chapter 5 – 28 Interval Ratio Measurement: Describe the Relationship Between Two Variables

29. Chapter 5 – 29 Interval Ratio Measurement: Describe the Relationship Between Two Variables