Data and Statistics

For many researchers, the strategic application of quantitative skills is absolutely essential. All the same, many new researchers in any discipline may feel thoroughly overwhelmed by the sheer array of software and methods and applications of quantitative reason.

When I developed my PhD dissertation in the 1990s, I quickly learned about what was absolutely essential for measuring university faculty job satisfaction based on a large-scale campus wide survey of professors under the auspices of the Provost at the University of Oregon. Since that time, I have served as chief survey and data officer at many colleges and universities and also an adjunct professor of graduate research methods courses in Canada and the U.S.

What follows is an introduction to the basic elements of statistical analysis and the systematic use of data in a variety of academic disciplines and contexts. This page will continue to grow over time, and I welcome recommendations from my visitors.

Note: For access to an array of advanced references devoted to quantitative and qualitative research methods, be sure to visit my page on Research Tools.

Elements of Data Research and Analysis

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