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Transcript of ConductingOnlineSurveys_Sue_ch3
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Conducting ONL I NE SURVEYS
Valerie M. Sue, Ph.D.
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Sampling 3.
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Learning Objectives Distinguish populations & samples 1 Identify probability sampling techniques 2 Identify nonprobability sampling techniques 3 Evaluate sample size issues 4 Explain sources of error in survey samples 5
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Populations & Samples
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Set of all units Population
Subset of a population Sample
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List of population members
Sampling frame
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Sampling Techniques
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Saturation Sampling: survey everyone (census)
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Probability Sampling Participants are randomly selected
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Closed populations Simple random
Systematic
Stratified
Cluster
Open populations Intercept
Prerecruited panel
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Simple random: every member has an equal chance of being selected
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Systematic: select first person at random, then select every nth person
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Stratified: select random samples within population subgroups
Group A Group B Group C
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Cluster: randomly select preexisting groups— everyone in selected group is surveyed
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Intercept: interrupt browsing, invite every nth visitor to respond
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Prerecrutited panel: randomly select members who have previously agreed to participate
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Nonprobability Sampling Participants are NOT randomly selected
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Convenience: surveyor selects handy group
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Volunteer opt-in: Participants self-select into the sample
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Snowball: participants refer associates
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How large should the sample be
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When using simple random
samples
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Margin of Error
90% Confidence
Level
95% Confidence
Level
99% Confidence
Level
± 5% 272 384 666
± 4% 425 600 1,040
± 3% 756 1,067 1,849
± 2% 1,702 2,401 4,160
± 1% 6,806 9,604 16,641
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When using nonprobability
samples
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Rules of thumb 30 to 500
About 10% of population
Enough for subsample analysis
10 times more than the number of variables
As large as budget allows
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Sources of
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Coverage error: sampling frame doesn’t represent population
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Nonresponse error: some selected members choose not to participate
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Sampling error: difference (due to chance) between sample statistic and population parameter
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Summary
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Choose sampling technique:
probability or nonprobability
Determine sample
size
Evaluate sources of
error
Selecting samples from populations
Coverage error Nonresponse error
Sampling error
Probability Simple random Systematic Stratified Cluster Intercept Prerecruited panel
Nonprobability Convenience Volunteer Snowball