Measurements & Scaling Flashcards

1
Q

scale characteristics

A

description (descriptors for each value)
order (sizes/positions of descriptors)
distance (b/w descriptors)
origin (beginning of scale)

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2
Q

measurement vs scaling

A

measurement = actual assignment of a number
- ex: from1-100

scaling = creating a continuum upon which measured objects are located

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3
Q

primary scales of measurement

A

nominal
ordinal
interval
ratio

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4
Q

scaling techniques

A
  1. comparative scales (direct comparison of stimulus objects)
    - paired comparison, rank order, constant sum
  2. non-comparative scales (objects scaled independently)
    - continuous rating scales
    - itemized rating scales
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5
Q

paired comparison

A

respondent is presented w/ 2 objects and asked to select one

  • data obtained is ordinal

possible to convert paired comparison to rank order (assumption of transitivity)

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6
Q

rank order

A

respondent is presented w/ several objects and asked to rank them according to some criterion

  • data obtained is ordinal
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7
Q

constant sum scaling

A

respondents allocate a constant sum of units (ex 100) to attributes of a product to reflect importance

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8
Q

continuous rating scale

A

respondents place a mark on a position in a scale that runs from one extreme criterion to the other

ex: 1 completely unsatisfied – 10 completely satisfied

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9
Q

itemized rating scale

A

scale has a number or brief description associated to each category
- Likert
- semantic differential
- Stapel

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10
Q

Likert scale

A

indicate degree of agreement or disagreement to series of statements

  • 1-5 scale
  • profile analysis or total score calculation
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11
Q

semantic differential scale

A

7 point rating scale w/ endpoints associated with bipolar labels w/ semantic meaning

  • controls respondents with very positive/negative attitudes
  • profile analysis
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12
Q

Stapel scale

A

vertical unipolar rating scale w/ 10 categories numbered -5 to +5 (w/ no neutral point (zero))

  • can be analyzed in the same way as semantic differential data (profile analysis)
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13
Q

nominal

A

numbers only serve as labels for identification
- do not reflect characteristics
- statistics: frequency (percentages + mode)

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14
Q

ordinal

A

ranking scale, n assigned to objects
- can determine whether or not an object has more or less of a characteristic but not how much
- statistics: centiles (percentile + median)

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15
Q

interval

A

numerical equal distances on scale
- allows for comparison b/w objects
- statistics: frequency + percentile + arithmetic mean, st deviation…

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16
Q

ratio

A
  • possesses all properties of nominal, ordinal + interval scales
  • meaningful to compute ratios (fixed zero point)
  • all statistical techniques can be applied