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Slide 1 ___________________________________ ___________________________________ Chapter Seven ___________________________________ Survey Research ___________________________________ ___________________________________


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Chapter Seven

Survey Research

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Why Conduct Survey Research

  • Employs questionnaires and interviews asking

people to provide information about their attitudes, beliefs, demographics (age, gender, income, marital status), and past or intended future behavior.

  • Method used to study relationships among variables

and ways that attitudes and behavior change over time.

  • Survey research can also help complement

experimental research findings.

  • Survey research is conducted on a given sample or

population.

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Sampling from a Population

Population: larger group about whom we wish to

  • btain information
  • E.g., high school teachers in California, readers of the

National Review, students at UT Austin, truck owners.

  • In most cases studying the entire population would be

impossible.

  • Select a sample from the population which we can then

test.

  • With proper sampling, whatever results you find with your

sample can be applied to the population as a whole.

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Confidence Intervals

  • Confidence interval  the interval within

which your true/population score lies.

  • This interval gives you information about

the likely amount of error in your findings.

  • When using a sample population, the
  • btained score is not the true score of the

population.

  • sample value  your best estimate of

the population value

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Sample Size

  • Larger sample sizes reduce the size of the

confidence interval thereby reducing the amount of sampling error .

  • Determined by using a mathematical formula

that takes into account the size of the confidence interval and population of interest.

  • Homogeneous vs. Heterogeneous Populations.

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Sampling Techniques

  • Probability sampling  each member of

the population has a specifiable probability

  • f being chosen.
  • Nonprobability sampling  we don’t

know the probability of any particular member of the population being chosen

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Probability Sampling

  • Simple random sampling  every member of

the population has an equal chance of being selected.

  • Stratified random sampling  used when it is

important to ensure that subgroups within a population are adequately represented in the sample .

  • Cluster sampling  rather than randomly

sampling from a list of individuals, the researcher can identify “clusters” of individuals and then sample from these clusters

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Non-Probability Sampling

  • Haphazard sampling  you select a

sample any way that is convenient.

  • Advantage: it is easy to do
  • Disadvantage: it might not be a

representative sample of the population, and the survey results might be biased

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Sources of Bias in a Sample

  • Sampling frame
  • Response rate

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Constructing the Questionaire

  • Defining the Research Objectives
  • Three types of Survey Questions

– Content Items – Factual Items – Behavior Items

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Question Wording

  • Simplicity
  • Double-barreled questions
  • Loaded questions
  • Negative wording
  • Yea-saying and Nay-saying

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Response to Questions

  • Closed vs. Open ended questions
  • Number of Response Alternatives
  • Rating Scales
  • Semantic Differential Scale
  • Non-verbal scale

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Finalizing & Administering

  • Formatting Questionnaire
  • Refining Questions
  • Forms
  • Ways of Administration: Survey vs.

Interview

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