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Week 8 Videocast Slide Deck

DPC
October 09, 2020
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Week 8 Videocast Slide Deck

DPC

October 09, 2020
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Transcript

  1. Quantitative Data Information that is systematically collected and communicated in

    numerical form; Data that can be analyzed with mathematical (usually statistical) techniques
  2. 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
  3. 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
  4. 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
  5. 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
  6. Interval & Ratio Data Years Years Years Years Years Years

    Years Years Years Years 13 15 16 14 12 8 10 11 9 7
  7. 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
  8. 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
  9. 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)
  10. Example Single-Response Question Which of the following best reflects your

    gender? ❑ Female ❑ Male ❑ Non-binary ❑ Prefer to self-describe:__________________________ 4 3 2 1
  11. 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
  12. 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
  13. 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
  14. …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