Midterm #1 - Measurement and Variables Flashcards

1
Q

conceptual definitions

A
  • help us understand what a construct means but don’t tell us how to quantify the construct
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2
Q

variables

A
  • actual representation of the construct
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3
Q

nominal (data)

A
  • data recognized with no inherent order
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4
Q

ordinal (data)

A
  • data categorized and ranked
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5
Q

continuous (data)

A
  • interval: categorized, ranked, and evenly spaced
  • ratio: categorized, ranked, evenly spaced, natural zero
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6
Q

construct

A
  • concept
  • can’t be directly observed
  • abstract
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7
Q

operational definition

A
  • specific and concrete
  • represent a construct
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8
Q

ways to measure behaviour

A
  • observe it: naturalistic, get records, unobtrusive
  • ask about it: self-report, informant
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9
Q

psychometrics

A
  • scientific discipline concerned with measurement
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10
Q

condition a (data entry)

A
  • baseline
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11
Q

condition b (data entry)

A
  • intervention
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12
Q

quasi-independent variable

A
  • treated as IV but not manipulated
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13
Q

quasi-experimental designs

A
  • researcher can’t manipulate IV or use random design
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14
Q

self-report

A
  • directly ask participants when observation not possible
  • cheap and easy but could have bias
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15
Q

behavioural trace

A
  • relies on evidence left behind by a person who isn’t present
  • drawing inferences
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16
Q

behavioural observation

A
  • relies directly on seeing or observing behaviour
  • better if participants don’t know
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17
Q

behavioural choices

A
  • involves participants making a purposeful selection from several options
18
Q

random error

A
  • variation from the measure’s true score due to unsystematic or chance factors
  • measured with stats
19
Q

bias/systematic error

A
  • varies systematically or consistently pushes scores higher/lower in a way that leads to inaccurate/misleading conclusions
20
Q

standardization

A
  • environmental situation same for everyone
21
Q

observer/scorer bias

A
  • misinterpreting an observation based on the researcher’s existing belief, previous experiences, or expectations
22
Q

ceiling effect

A
  • occurs when upper boundary of a measurement tool is set too low
23
Q

floor effect

A
  • occurs when lower boundary of a measurement is set too high
24
Q

reliability

A
  • stability/consistency of a measure
25
Q

validity

A
  • the degree to which a tool measures what is claims to measure
26
Q

if you fail to establish ______ you can’t have _______

A
  • reliability
  • validity
27
Q

population

A
  • entire group of interest in a research study
  • sample drawn
28
Q

sample

A
  • a subset of the population
  • where data is collected
29
Q

representative sample

A
  • a sample with specific features that characterize the population of interest
30
Q

probability sampling

A
  • everyone in a population has an equal chance to participate
31
Q

simple random sampling

A
  • subset of individuals is randomly selected from population members
32
Q

stratified random sampling

A
  • dividing population into strata or subpopulations
  • use simple random sampling to select participants
33
Q

cluster random sampling

A
  • dividing the total population into groups
  • use simple random sampling to select which clusters participate
34
Q

non-probability sampling

A
  • everyone in the population doesn’t have an equal chance of being sampled
35
Q

convenience sampling

A
  • nonrandom selections of participants who are readily available to the researcher to serve as the sample
36
Q

quota sampling

A
  • freely choosing any participant as long as they help meet predetermined targets for sample’s characteristics
37
Q

purpose sampling

A
  • sample chosen based on who researcher thinks is the most qualified
38
Q

snowball sampling

A
  • existing study participants recruit future participants from among their acquaintances
39
Q

nonresponse bias

A
  • a potential systematic difference between those who refuse to participate and those who don’t
40
Q

the volunteer subject problem

A
  • likely a bias with only volunteers