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Subject details

At the completion of this subject students will be able to:

  1. understand survey research procedures and when they are useful
  2. understand quantitative techniques used to analyse survey data
  3. locate information and critically evaluate the findings of previous research
  4. identify problems with survey administration and choose appropriate solutions
  5. draw upon firsthand experience in choosing survey methods, administering surveys and writing 'good' survey questions
  6. analyse primary data collected from survey research.
    • Introduction to social survey research
    • Choosing survey research and sampling for surveys
    • Writing social survey questions
    • Non-response to survey questions
    • Survey methods - choosing the right vehicle
    • SPSS1: frequencies and cross-tabs
    • SPSS2: Bivariate relationships
    • SPSS3: Simple linear regression
    • SPSS4: correlation and causation
    • SPSS5: factor analysis
    • From linear to logistic regression
    • Ethics and Social Survey Research
    • Social Survey research wrap
  • Study resources

    • Instructional methods

      • Discussion forum/Discussion Board

Equivalent subjects

You cannot enrol in this subject if you have successfully completed any of the following subject(s) because they are considered academically equivalent:

  • MAQ-SGY889
  • MAQ-SGY389

Others

Admission to the below degrees

Special requirements

No special requirements

This subject was previously known as SGY889 Doing Social Survey Research.

This is a subject in applied survey research and data analysis. It will explain key survey techniques used and give you the chance to try them out in practice. The subject covers choosing survey methods, administering surveys and writing good survey questions. It also looks at some of the debates around the potentials and limits of surveys. Qualitative researchers often rely on surveys to prepare themselves for fieldwork or to 'triangulate' their results from interview work. But ultimately, surveys are designed to enable statistical analysis of data, and therefore the subject covers some of the statistical techniques used. Understanding how quantitative analytical methods work with and augment qualitative methods requires some knowledge and use of statistics and a statistical package.

  • Analysis Task (30%)
  • Assessment (40%)
  • Participation (10%)
  • Test (20%)

Textbook information is pending.

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