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Lecture 9

# HRS 610 Lecture Notes - Lecture 9: Cluster Sampling, Stratified Sampling, Simple Random SamplePremium

5 pages73 viewsFall 2016

Department
HRS - HRS-Human Rehab Services
Course Code
HRS 610
Professor
Bezyak
Lecture
9

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1. Survey Research
First Steps
oDefine Research Objectives.
Do you think this step is always followed?
oAttend to Question Wording.
Keep it simple.
Avoid asking more than one question at a time.
This is a common problem among practitioners.
Avoid negative wording.
Response Options
oClose vs. Open-ended Questions
oRating Scales
Is there a problem with a neutral option on a rating scale?
oSemantic Differential Scale
What is this?
oQuestionnaires
How might they be distributed?
What are potential problems with internet surveys?
oInterviews
Face-to-face
Telephone
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Focus groups
Explain interviewer bias.
Sampling
oWhat is the difference between a population and a sample?
oWhat potential problems exist with creating a sample?
oPopulation validity refers to the degree to which the sample of
individuals in the study is representative of the population.
Do you think this is often a problem?
Sampling
oSummary:
Sampling is taking a portion of the population, making
observations on this smaller group, and then generalizing
the findings to the parent population from which the
sample was drawn.
oAn unrepresentative sample is a biased sample.
oThis is why random selection is so important.
What does random selection mean?
oAccidental differences between characteristics of sample and
population constitute sampling error.
oThe size of sampling error decreases with larger samples.
Why is non-random sampling used?
oSimple random sampling
Every member of the population has an equal chance of
being included in the sample, and the selection of one
member from the population has no effect on the
selection of another member.
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