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Measurement and Observation

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Creating operational measures forces realization about lack of ... Dichotomy: Democrat or Republican. Continuum: 7-point scale w/ 'independent-leaner' ... – PowerPoint PPT presentation

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Title: Measurement and Observation


1
Measurement and Observation
2
Choices During Operationalization
  • Researchers make a number of key decisions when
    deciding how to measure a concept
  • Dimensions and sub-dimensions
  • Range of variation within dimensions
  • Categories to represent range
  • Levels of measurement
  • Nominal, ordinal, interval, ratio

3
Operationalization A deliberative process
  • Not a simple, linear process
  • Complicated and fraught with trade-offs
  • Iterative process with cycles of consideration
  • Debate over proper measurement is key

4
Dimensions of the Concept
  • Creating operational measures forces realization
    about lack of conceptual clarity
  • List of possible dimensions may be long
  • Need to decide which ones are most relevant
  • Ask which ones are central to the inquiry
  • Reflect on research hypotheses or theories

5
Range of Variation
  • Sense of the upper and lower limits
  • How much are you willing to combine different
    people into the same category?
  • Extremely high and Extremely low may be collapsed
  • Eg. Income, age, height, etc.
  • Opposition and support for attitudes
  • Agreement and disagreement

6
Variation Between Extremes
  • Degree of precision
  • How detailed you need to be in measurement
  • Eg. Age breaks or Exact age?
  • Related to purpose of study
  • Eg. Political Party ID
  • Dichotomy Democrat or Republican
  • Continuum 7-point scale w/ independent-leaner

7
Levels of Measurement
  • Nominal Measures
  • Ordinal Measures
  • Interval Measures
  • Ratio Measures

8
Nominal Measures
  • Names for characteristics
  • Do not Exist along an Explicit continuum
  • Exhaustive
  • Mutually Exclusive
  • Eg. Religious Affiliation
  • Eg. Place of Birth

9
Ordinal Measures
  • Can be logically rank-ordered
  • Represent relatively more of less of variable
  • No consistent distance between points of
    measurement
  • Not just different from one another
  • More of less of some attribute
  • Eg. Not very important, fairly important,
    very important Extremely important

10
Interval Measures
  • Consistent distance separating attribute
  • We can say how much more of an attribute
  • Logical distance between attributes can be
    Expressed in meaningful standard intervals
  • Eg. Temperature
  • 90 degrees vs. 80 degrees 10 degree difference
  • 50 degrees vs. 40 degrees 10 degree difference
  • Zero-point is arbitrary

11
Ratio Measures
  • In addition to all the properties of nominal,
    ordinal, and interval measures, ratio measures
    have a true zero point
  • Eg. Length of time
  • Eg. Number of times
  • Eg. Number of affiliations
  • Can actually state ratio of one to another
  • X has twice as many affiliations as Y

12
Whats that scale?
  • Style of music in a music video
  • Number of violent acts in a music video
  • Whether a music video has violence or not?
  • High, Medium or Low violence in a music video
  • Hair color
  • Number of hairs on your head
  • Sat scores
  • Social Security Number

13
Whats that scale?
  • A baseball player's batting average
  • A baseball player's field position
  • A baseball player's position in the batting
    order
  • A baseball player's uniform number
  • College football rankings
  • IQ

14
Types of questions
  • Multiple choice questions
  • Agree/disagree questions
  • Likert questions
  • Frequency scales
  • Semantic differential scales
  • Forced-choice statement pairs
  • Thermometer feeling scales
  • Nominal checklists
  • Ordinal categories
  • Rank-order questions
  • Filter questions
  • Open-ended

15
Multiple Choice Question
16
Multiple Choice with Range Options
17
Agree/Disagree Questions
18
Likert Scale
19
Frequency Scale
20
Semantic Differential Scales
21
Forced-choice Statement Pairs
22
Thermometer Feeling Scales
23
Nominal Checklist
24
Ordinal Categories
25
Rank-order Preference Questions
26
Rank-order Evaluation Questions
27
Filter Questions
28
Open-ended Questions
29
Tips on Question Construction
  • 1. Make questions clear using simple language
  • 2. Keep questions concise
  • 3. Provide instructions for answering questions
  • Dont assume respondent knows question style
  • 4. Keep research purpose in mind
  • Make sure items can answer research question
  • 5. Dont ask double-barreled questions
  • E.g., How well do you think the current
    Presidential Administration is handling foreign
    policy and the war on terrorism?

30
More Tips
  • 6. Avoid leading questions
  • E.g., Like most Americans, do you read a
    newspaper every day?
  • 7. Avoid negative questions
  • E.g., The U.S. should not invade Iraq Agree or
    disagree?
  • 8. Do not ask questions that require complicated
    mental calculus
  • E.g., In the past 30 days, how many hours have
    you spent watching television with your family?
  • 9. Keep ordering of questions in mind

31
Using Pre-Existing Measures
  • It is okay to borrow measures
  • Cite source of questions to give credit
  • Benefits of using Existing measures
  • Saves work
  • Pre-tested for reliability/validity
  • Research becomes cumulative

32
Pretesting
  • Clarity in question wording
  • Are categories
  • Exhaustive?
  • Mutually Exclusive?
  • Realistic time estimate
  • Preliminary empirical analysis
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