Midterm #2 - Survey Design Flashcards

1
Q

purpose of a survey

A
  • facilitate and standardize data collection
  • cost effective and quick
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2
Q

advantages

A
  • reliability
  • versatility
  • cost-effectiveness
  • generalizability
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3
Q

disadvantages

A
  • inflexible
  • lack of depth
  • response rates
  • ballot stuffing
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4
Q

sampling frame

A
  • actual list of individuals that the sample will be drawn from
  • should include entire target population
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5
Q

simple random sampling

A
  • everyone in population has an equal chance to be selected
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6
Q

systematic sample

A
  • individual chosen at random intervals
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7
Q

stratified sample

A
  • divide populations into subpops that differ
  • ensures every subgroup is represented
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8
Q

cluster sample

A
  • divide population into subgroups, subgroups have similar characteristics as whole sample
  • randomly select entire subgroups
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9
Q

convenience sample

A
  • individuals most accessible to researcher
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10
Q

purposive sampling

A
  • researcher uses expertise to select a sample that’s most useful to the purpose of the research
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11
Q

snowball sample

A
  • recruit participants via other participants
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12
Q

quota sample

A
  • achieve required quotas with characteristics
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13
Q

sampling considerations

A
  • communication
  • accessibility
  • equity
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14
Q

sampling consideration questions

A
  • how large does the sample need to be?
  • is the sample representative?
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15
Q

developing survey questions

A
  • utilize existing standardized scales
  • adapt or modify questions
  • develop new questions
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16
Q

close-ended questions

A
  • standardized format
  • limit freedom
  • fixed response
17
Q

contingency questions

A
  • dichotomous response
  • presents additional choice
18
Q

text entry (open ended)

A
  • free responses, not predetermined
  • insightful and unexpected data
19
Q

what makes for good response choices?

A
  • mutually exclusive
  • collectively exhaustive
  • balanced scales
  • specific or unambiguous
20
Q

survey structure

A
  • instructions
  • question blocks
  • debrief
21
Q

non-response

A
  • adds bias to samples
  • varies across topics but typically male, younger, urban dwellers, lower education
22
Q

dealing with non-response

A
  • reduce likelihood that it occurs at all (incentives, advanced letters)
  • correct after it occurs (weighting)