class 11-12 Flashcards

1
Q

data collection process

A

goal: produce good data
-maintain controls of treatment, measurement methods, & setting
-maintain consistency in data collection process
-gather essential data - demographics & measurements of study variable
-data collection & analysis often overlap

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2
Q

biophysiologic measures - in vivo:

A

performed directly in or on living thing (e.g., bp, pulse, temperature)

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3
Q

biophysiologic measures -in vitro:

A

extracting material for analysis (e.g. biopsy, blood values)

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4
Q

biophysiologic measures -anthrometric:

A

measure body terms of composition (e.g. BMI, % body fat)

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5
Q

observations - unstructured

A

-researcher makes general notes about observed behaviours/phenomena

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6
Q

observations - structured

A

-category systems
-checklists
-rating scales

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7
Q

self-reports: interviews

A

-verbal interaction between researcher & participant
-structured or unstructured
-interviewer records data

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8
Q

self-reports: questionnaires

A

-printed/written/electronic from
-structured
-usually completed by participant

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9
Q

interviews (structured)

A

-developed interview protocol (interview schedule)
-closed and open ended questions
-interviewers trained
-standardized recording procedures

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10
Q

interviews (unsturctured/semi-structured):

A

-limited interview guide - content controlled by partipants
-greater reliance an open ended questions/cues

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11
Q

rating scales

A

rate a variable on a numerical scale

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12
Q

likert scales

A

measure opinions or attitudes on a scale (e.g. strongly agree - strongly disagree)

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13
Q

visual analogue scales:

A

plot response on a 100mm line with descriptors on each end

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14
Q

response set bias

A

-the measurement error resulting from the tendency of some individuals to respond to items in characteristics ways independently of the item content

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15
Q

social desirability bias

A

-when participants have the tendency to misrepresent their opinion in the direction of answers consistent with prevailing social norms

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16
Q

extreme response

A

-when participants select extreme response options (e.g. strongly agree) independent of the item’s content

17
Q

acquiescence response

A

also known as the agreement bias, is the tendency for participants to agree with research statements, without the action being a true reflection of their own position or the question itself

18
Q

directness of measurement

A

degree to which object, element, characteristic can be measured objectively

19
Q

direct measurement examples

A

temperture, weight, o2 saturation

20
Q

indirect measurement examples

A

e.g. depression, self-care, coping pain

21
Q

measurement error (error variance)

A

difference between what exists in reality and what is measured by research instrument

22
Q

random error

A

difference between the obtained measure and the actual true value, no pattern

23
Q

systematic error

A

-measurement error that occurs consistently in the same direction

24
Q

reliability

A

how consistently does the measurement technique measure the concept of interest
range: 0-1.00
good: 0.80
acceptable: generally 0.70

25
Q

test-retest reliability (stability or reproducibility)

A

-degree to which retesting with the same instrument with yield the same result
-assumes the factor being tested remains the same at both testing times (e.g. IQ, Knowledge, weight)

26
Q

interrater reliability (inter-observer reliability or equivalence)

A

-degree to which measurements remain consistent between observers
-tool used collecting data should be specific enough so that two observers would get the same results

27
Q

internal consistency (homogeneity)

A

-degree to which all items in an instrument consistently measure the concept
-internal consistency is usually measured with Cronbach’s Alpha

28
Q

measurement validity

A

degree to which an instrument measures the construct it is meant to measure

29
Q

face validity

A

-degree to which the instrument looks like it is measuring the target construct
-not strong evidence validity, but may influence subjects’ attitudes towards the data measurement process
-is important when other types of validity have been established

30
Q

content validity

A

-degree to which the content of an instrument adequately captures the construct being measured
-usually assessed by expert panel
-may measure/reported as content validity index (CVI)

31
Q

criterion validity

A

-degree to which the scores on a measure are a replication of a “gold standard”

32
Q

concurrent criterion validity

A

degree of correlation of two measures of the same concept at the same time

33
Q

predictive criterion validity

A

degree of correlation between the measure of the concept and some future measure of the concept
-usually assessed by expert panel

34
Q

construct validity

A

degree to which scores represent the construct being measured
-usually involves hypothesis testing (e.g. known-groups validity)

35
Q

nominal level of measurement

A

-lowest of 4 levels
-attributes are only names
-categories are not more or less but different in some way
-categories mutually exclusive and exhaustive

36
Q

ordinal level of measurement

A

-order/ranking imposed on categories
-intervals not equal
-number must preserve order

37
Q

interval level of measurement

A

-equal distances between intervals, this distance has meaning
-absence of a zero point

38
Q

ratio level of measurement

A

-highest of four levels
-continuum of values - ratio of two values has a meaningful interpretation (e.g. 4cm is 2x as long as 2cm)
-absolute zero point