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(5 credits)

In this course, independent scholars develop skills in descriptive statistics, statistical inference, and quantitative techniques, including t-tests, analysis of variance, correlation, multiple linear regression, discriminant analysis, and nonparametric methods (i.e., two-way contingency table analysis). They use quantitative data analysis and data-management techniques, and they learn to utilize SPSS software for data analysis. This course is not intended for independent scholars to become fully grounded in statistical methods; rather, they learn appropriate questions to ask about data analysis as well as how to defend their use of specific techniques in professional practice.

Pre-requisites

  • RESI 8302 (Residency 2) (may be concurrent)
  • DBAX 8303