Chapter 5 Flashcards

1
Q

3 types of measures

A

self-report
physiological
observational

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2
Q

3 types of self reports

A

cognitive
affective/emotional
behavioral

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3
Q

self-reports can be formatted in what 2 ways?

A

rating scales or open ended questions

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4
Q

main difference between observational and physiological measures

A

obs: external and visible (behavior)
phys: internal and non-visible (bodily processes)

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5
Q

what guides us when choosing out type of measure?

A

theoretical interest & knowing that the 3 measured don’t always agree

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6
Q

researchers are encouraged to use how many types of measurement?

A

at least 2

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7
Q

properties of the real number system & definitions

A

identity: each # has a unique meaning
magnitude: #s have a correct order
equal intervals: dif. b/w units is equal anywhere on the scale
true zero: complete absence of the variable; NOT a quantitative value

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8
Q

example of a non-true zero

A

temperature 0 degrees Celsius

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9
Q

nominal variables

A

-no numerical properties
-doesnt make sense to do math
-can’t be ordered
-qualitatively distinct categories

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10
Q

orfinal variables

A

-can rank levels of a variable
-distances between consecutive values are not equal
-higher numbers represent more of the quality being measured

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11
Q

measurement

A

process of assigning values meaningfully to behavior, people, etc.

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12
Q

interval variables

A

-distances between consecutive values ARE EQUAL
-no true zero
-ex: temperature

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13
Q

ratio variables

A

-equal intervals
-true zero point/absolute zero point
-ex: time, length, weight, etc.

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14
Q

scales of measurement and their numerical properties

A

nominal - identity
ordinal - identity, magnitude
interval - identity, magnitude, equal intervals
ratio - identity, magnitude, equal intervals and true zero

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15
Q

considerations when choosing a scale of measurement

A

-info yielded
-stats
-ecological (do they correspond meaningfully)

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16
Q

reliability

A

how consistent the results of a measure are

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17
Q

observed score

A

true score plus error

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18
Q

true score

A

the score if the measure were perfect; not directly observable

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19
Q

sources of measurement error

A

-mood of participants
-stable attributes of participants (motivation, social anxiety, etc.)
-factors in the research setting
-characteristics of measure (ambiguity, test length, etc.)
-recording mistakes

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20
Q

if consistency is observed…

A

the measure is tapping into true scores

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21
Q

3 types of reliability

A

test-retest
interrater
internal

22
Q

test-retest reliability

A

consistency in results every time a measure is used

23
Q

what and when do we observe test-retest reliability for?

A

measure the SAME sample of people at at least 2 DIFFERENT points in time.

24
Q

what measures does test-retest apply to?

A

self-report, obs. and phys.

25
what coefficient quantifies test-retest reliability?
correlation baby!
26
2 limitations of test-retest
-only meaningful for stable constructs -responses can be artificially inflated if people remember their initial responses
27
what graph do we rely on for test-retest?
scatterplots
28
interrater reliability
consistency across observers for the same set of obs.
29
interrater reliability is most applicable to which measure?
obs.
30
interrater reliability for quantitative variables
correlation coefficient
31
interrater reliability for categorical variables
% agreement or kappa
32
is kappa usually smaller or larger than % agreement?
smaller
33
internal reliability/consistency
strength of correlation between items
34
what and when do we observe internal reliability for?
measure the same people with MULTIPLE ITEMS tapping into SAME CONSTRUCT
35
AIC
average inter-item correlation: average of all possible correlations between each other and the others
36
what AIC shows good internal reliability?
0.15-0.50
37
what cronbach's coefficient alpha shows good internal reliability?
0.80-1
38
2 signs of low internal reliability
-more measurement error -construct has more than one component
39
reliability is likely to increase if we increase the number of...
-observers -observations -occasions
40
5 types of measurement validity
face content criterion convergent discriminant/divergent
41
face validity
does the measure at the surface level (i.e. just looking at the term) appear to measure what it's supposed to?
42
which type of validity may not be present but the measure can still actually be valid?
face validity
43
content validity
the measure contains all the domains that the theory says it should contain
44
criterion validity
is the measure related to a concrete behavioral outcome that it SHOULD be related to?
45
concurrent vs predictive criterion validity
concurrent: measure and outcome assessed at the SAME TIME predictive: outcome assessed at a later time
46
what is criterion validity typically represented with?
r
47
convergent validity
does the measure strongly correlate to other measures of the same construct?
48
divergent validity
does the measure not correlate with other measures that it shouldn't correlate with?
49
what type of relation is found in discriminant validity?
weak/zero relation
50
what type of relation is found in convergent validity?
strong positive or negative relation
51
a more concentrated scatterplot is convergent or divergent?
convergent
52
a measure cannot be _______ without _______
valid;reliability