Using Datasets to Teach Quantitative Researchers

Categories: Focus Series, Instruction, Quantitative, Research, Tools and Resources

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The MethodSpace focus for September 2019 was on teaching research methods and guiding researchers, including masters or doctoral students, or early-career researchers. You can find the series and related posts here.

Learn by doing with datasets

One way for novice or student researchers to learn a new method or software is with practice datasets. In this post you can find a Reading List with 50 quantitative datasets available on SAGE Research Methods. (See the previous post on Using Datasets to Teach Qualitative Researchers.)

They include diverse types of data, including:

  • Census data
  • Interview Transcripts
  • Network Data
  • News Articles
  • Network Data
  • Social Network Data
  • Survey
  • Time series

Datasets include how-to lessons and demonstrations for popular software:

  • Python
  • R
  • SPSS
  • Stata

They show a variety of methods, including:

  • Analysis of covariance
  • Autocorrelation
  • Coding
  • Histograms
  • Regression analysis
  • Textual analysis

More on finding and using SAGE Research Methods databases here.

If you would like to access the SAGE datasets mentioned in these posts but lack library access, explore SAGE Research Methods with a free trial. See A Primer on Getting the Most out of SAGE Research Methods for more about this online repository.

 

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