DPC
October 09, 2020
80

# Week 8 Videocast Slide Deck

October 09, 2020

## Transcript

2. ### Survey questions 03 Levels of meaurement 02 Quant definition &

examples 01 This Videocast

4. ### Quantitative Data Information that is systematically collected and communicated in

numerical form; Data that can be analyzed with mathematical (usually statistical) techniques
5. ### E.g. Number of clients, number of policies, time (number of

hours), number of pages (in a document), etc. Counts Quantitative Data Examples E.g. Geographic area, distance, size of a building, etc. Measurement of Physical Objects E.g. Likert-scale style survey questions Quantification of Qualitative Info

7. ### Levels of Measurement Nominal (aka Categorical) Ordinal Interval Ratio Descriptive

labels/ categories; no meaningful order to values Depict the order of a measurement, but not the difference between integers Depict the order and difference between integers (“interval” = distance between entities); No “true” zero Depict the order and difference between integers; “True” zero ✓ Genders ✓ Countries ✓ Cities ✓ Occupations

9. ### Levels of Measurement Nominal (aka Categorical) Ordinal Descriptive labels/ categories;

no meaningful order to values Depict the order of a measurement, but not the difference between integers ✓ Genders ✓ Countries ✓ Cities ✓ Occupations ✓ Likert-scale survey responses ✓ “Star” ratings ✓ Interval/ratio data expressed as categories
10. ### Ordinal Data Strongly agree Agree Neither agree nor disagree Disagree

Strongly disagree 4 2 1 3 5
11. ### Levels of Measurement Nominal (aka Categorical) Ordinal Interval Ratio Descriptive

labels/ categories; no meaningful order to values Depict the order of a measurement, but not the difference between integers Depict the order and difference between integers (“interval” = distance between entities); No “true” zero Depict the order and difference between integers; “True” zero ✓ Genders ✓ Countries ✓ Cities ✓ Occupations ✓ Likert-scale survey responses ✓ “Star” ratings ✓ Interval/ratio data expressed as categories ✓ IQ Scores ✓ Temperature ✓ Age ✓ Income ✓ Budgets
12. ### Interval & Ratio Data Years Years Years Years Years Years

Years Years Years Years 13 15 16 14 12 8 10 11 9 7
13. ### Over 65 years old 56-65 years old 46-55 years old

36-45 years old 26-35 years old Under 26 years old 3 5 6 4 2 1 Interval & Ratio Data …as Ordinal Data

15. ### Open vs. Closed-Ended Questions Open-ended questions… • Most often used

to generate qualitative data • Con add valuable details or info beyond closed-ended questions • Open to differing interpretations (incompatible findings) • Burden for respondent
16. ### Open vs. Closed-Ended Questions Closed-ended questions… • Most often used

to generate quantitative data • Ensure consistent data • Less burden for respondent (and often in data analysis)
17. ### Example Single-Response Question Which of the following best reflects your

gender? ❑ Female ❑ Male ❑ Non-binary ❑ Prefer to self-describe:__________________________ 4 3 2 1
18. ### Example Multiple-Response Question How are you feeling about your class

project at this point in the class? Select all that apply: ❑ Excited ❑ Nervous ❑ Board ❑ Other (please describe):_____________________ 4 3 2 1
19. ### Example Scale Response Question How confident are you feeling about

completing your project in the class? ❑ Very confident ❑ Confident ❑ Somewhat confident ❑ A little confident ❑ Not at all confident 5 4 3 2 1
20. ### How confident are you feeling about the following elements of

your project in the class? 5 Example Matrix Scale Response Question Very confident Confident Somewhat confident A little confident Not at all confident Research design ❑ ❑ ❑ ❑ ❑ Data analysis ❑ ❑ ❑ ❑ ❑ Writing ❑ ❑ ❑ ❑ ❑ 4 3 2 1
21. ### …writing closed-ended questions is harder than it appears—it is as

much an art as a science…There are many possible questions and many shades of meaning based on wording choice. The English language can be problematic because the same words can mean different things. — Gail Johnson