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Section 7.4 Cautions about Sampling

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Undercoverage. Sample surveys of large human populations require more than a good sampling design. We need an accurate and complete list of the population. – PowerPoint PPT presentation

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Title: Section 7.4 Cautions about Sampling


1
Section 7.4 Cautions about Sampling
  • Special Topics

2
Undercoverage
  • Sample surveys of large human populations require
    more than a good sampling design.
  • We need an accurate and complete list of the
    population. Because such a list is rarely
    available, most samples suffer from some degree
    of Undercoverage.
  • Undercoverage occurs when some groups in the
    population are left out of the process of
    choosing the sample.

3
Nonresponse
  • A more serious source of bias in most sample
    surveys is nonresponse.
  • Nonresponse occurs when some groups in the
    population are left out of the process of
    choosing the sample. Either these individuals
    cant be contacted or refuse to answer.
  • Nonresponse to sample surveys often reaches 50
    or more, even with careful planning and several
    callbacks. Because nonresponse is higher in urban
    areas, most sample surveys substitute other
    people in the same area to avoid favoring rural
    areas in the final sample. If the people
    contacted differ from those who are rarely at
    home or who refuse to answer questions, some bias
    remains.

4
Response Bias
  • Response Bias - for whatever reason the subject
    doesn't tell the truth.
  • Often response bias occurs due to the choice of
    question or how it is worded. If a questions
    requires the admission of unpopular or illegal
    behavior in its answer, a respondent is apt to
    lie.
  • Sometimes a respondent will not give an accurate
    answer due to faulty memory.

5
Wording Effects
  • When a question is leading or confusing, it often
    causes inaccurate answers for respondents.
  • Watch out when a question starts with given
    that or considering.
  • Make certain the readability of your questions
    corresponds well to the abilities of the members
    of your sample.
  • http//www.learner.org/vod/vod_window.html?pid152

6
Sampling Bias
  • Sampling Bias is bias which is a result of poor
    sampling techniques.
  • Remember that you should choose a sample in such
    a manner as to give each person in your
    population the same chance to be picked.

7
Homework
  • Worksheet 7.4
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