Task 6. Setting up research & sampling Flashcards

1
Q

Population

A
  • all possible participants that fit the criteria
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2
Q

Sample

A
  • smaller subgroup chosen from the larger population
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3
Q

Generalization

A
  • ability to apply findings of a sample to a larger population
  • requires a representative sample
  • one of the important factors for external validity
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4
Q

Random sample

A
  • every person in the population has an equal chance of being chosen, necessary for generalization, but difficult to obtain
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5
Q

Nonrandom sample

A
  • individuals chosen from a highly specialized subpopulation
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6
Q

Internet research sampling

A
  • nonrandom, highly specialized, large but not representative (only ppl w )
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7
Q

Animal studies sampling

A
  • strains need to be exactly the same, usually the exact same litter because any kind of genetic mutation can affect the results
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8
Q

Factors to consider when acquiring a research sample

A

1) research setting: lab or field
2) special needs of research: screening
3) ethical guidelines: APA

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9
Q

Volunteer bias

A
  • individuals that volunteer fundamentally different from the ones that don’t, lowered external validity
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10
Q

Situational factors of volunteers

A
  • interesting / important topis
  • rewards
  • personal acquaintance with the researcher
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11
Q

Internal validity and volunteerism

A
  • volunteers are trying to please the experimenter, altering the results
  • volunteerism can serve as “motivation indicator”
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12
Q

External validity and volunteerism

A
  • WEIRD participant characteristics -> low generalizability
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13
Q

Remedies for volunteerism

A
  • making the appeals as interesting as possible
  • make appeal as nonthreatening as possible
  • state in what way the participants are important-> benefitting others
  • ​if possible avoid stressful tasks
  • ​personalized appeals
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14
Q

Probability sampling

A
  • each participants has a known probability of being in the sample -> ideally, all have an equal chance
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15
Q

Representative sample

A
  • closely matches the characteristics of a population
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16
Q

Biased sample

A
  • non-representative sample
17
Q

Sampling techniques (5)

A
  • simple random: random selection of a certain # of individuals
  • stratified: population divided into segments, each segment represented
  • proportionate: conserve the percentage of the population segments
  • systematic: every nth individual is included, random start
  • cluster: picking a naturally occurring cluster of individuals, including the entire group (used together with simple random)
18
Q

What to keep in mind when determining Sample size

A
  • smaller samples- controlled environment
  • larger samples - many variables/uncontrolled variables

-amount of acceptable error
-expected magnitude of population proportions

19
Q

Economic sample

A
  • enough participants to be valid, but no more
20
Q

Internal validity

  • extraneous variables?
  • confounding?
A
  • ability of research design to adequately test your hypothesis / ability to adequately measure what its supposed to
    -shown in variation in independent variable
  • threatened by extraneous variables that can provide alternative explanations and rival hypotheses
  • confounding: merging of two or more variables to the point that it is impossible to separate their effects, affects overall correlation
21
Q

Threats to internal validity

general sources of confounding (7)

A
  • history: special events occur between obs.
  • maturation: performance affected due to aging/fatigue
  • repeated testing
  • instrumentation: missed errors in criterion/instruments
  • statistical regression: extreme-result subjects selected for treatment tend to regress toward the mean upon retesting
  • biased selection: groups not equivalent prior to intervention
  • experimental mortality: loss of subjects during the research
22
Q

External validity

A
  • results can be generalized for the population
23
Q

Threats to external validity

A
  • reactive testing: subjects react to pretest and adjust
  • interaction between participant selection bias and the IV: Jožek iz Špičkovine vs Maartje van Maasi
  • reactive effects of experimental arrangements: being aware that one is a participant and that they are being studied
  • multiple treatment interference