Chapter 5: Identifying good measurement Flashcards

1
Q

3 types of measure

A
  • self-report measure
  • observational measure
  • physiological measure
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2
Q

self-report measure

A

operationalizes a variable by recording people’s answers to questions about themselves in a questionnaire or interview

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3
Q

observational measure

A

operationalizes a variable by recording observable behavior or physical traces of behavior

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4
Q

physiological measure

A

operationalizes a variable by recording biological data

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5
Q

quantitative (continuous) variables

A

coded with meaningful numbers
- ordinal scale
- interval scale
- ratio scale

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6
Q

ordinal scale

A

applies when the numerals of a quantitative variable represent a ranked order with scales that might be unequal

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7
Q

interval scale

A

applies to the numerals of a quantitative variable that meet 2 conditions
- the numberals represent equal intervals between levels
- there is no true 0 (a person can score 0, but it does not mean literally nothing)

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8
Q

ratio scale

A

applies to the numerals of a quantitative variable under 2 conditions
- the numerals represent equal intervals between levels
- there is a true 0, a person is able to score 0 and that means literally nothing

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9
Q

reliability vs validity

A
  • reliability: how consistent the results of a measurement are
  • validity: is the operationalization measuring what it is supposed to measure
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10
Q

test-retest reliability

A

a study participant will get pretty much the same score each time they are measured with it

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11
Q

interrater reliability

A

consistent scores are obtained no matter who measures the variable

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12
Q

internal reliability

A

a study participant gives a consistent pattern of answers, no matter how the researchers phrase the question

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13
Q

average inter-item correlation (AIC)

A

the average of all correlations

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14
Q

cronbach’s alpha

A

combines the AIC and the number of items in a scale
- the closer it is to 1 the better the reliability of the scale is
- for self-report measures: 0.8+

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15
Q

types of reliability relevant for each kind of the three operationalizations

A
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16
Q

face validity

A

does the test measure what it’s supposed to measure

17
Q

content validity

A

evaluates how well an instrument covers all relevant parts of the construct it aims to measure

18
Q

criterion validity

A

evaluates whether the measure is associated with a concrete behavioral outcome that it should be associate with, according to the conceptual definition

19
Q

known-groups paradigm

A

researchers see whether scores on the measure can discriminate among 2 or more groups, whose behavior is already confirmed

20
Q

convergent validity

A

how closely a test is related to other tests measuring the same/similar construct

21
Q

discriminant validity

A

tests whether constructs that are not supposed to be related are actually unrelated

22
Q

can a measure be valid if it is not reliable

A

if a measure is not reliable, then it cannot be valid