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Survey Design, Administration, and Analysis

The SCS believes that the best survey research starts with a data analysis plan in mind. SCS staff can help translate your research goals into an analysis plan based on sound statistical practices. With an analysis plan in mind, we can advise you on the most appropriate survey methods for your goals and your budget. By combining our statistical expertise with experience in conducting surveys, we are able to produce surveys that incorporate with the best survey methodologies. The SCS assists clients with the following aspects of survey research:
  • Sample Design
    By carefully designing a survey sampling plan using statistical design of experiments concepts, it is possible to obtain useful information while controlling survey costs.
  • Questionnaire Design
    The SCS can help develop a questionnaire that efficiently collects your data. We can advise you on potential design issues such as question wording, question order, and response order effects.
  • Survey Administration
    The SCS currently has the capability of administering web and mail surveys. In addition, we can subcontract the administration of telephone surveys while performing the design and analysis components in-house. When the SCS administers a survey we can act as a buffer between the client and the respondents, reducing possible bias in responses.
  • Result Tabulation and Weighting
    SCS statisticians can analyze and interpret survey results keeping in mind potential issues such as nonresponse bias. In addition, expertise in weighting methodologies allows us to account for possible biases due to sampling anomalies.
  • Specialized Analysis of Results
    Our staff includes two Ph.D. statisticians who are able to apply advanced statistical modeling techniques (e.g., spatial modeling) to survey data to extract more information from your data than simple tabular summaries. Our position within the university also provides us with access to experts in hundreds of subject-matter fields for more in-depth analyses.


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