Warner provides a succinct overview of basic research concepts that were addressed in the previous quantitative analysis course, including descriptive versus inferential statistics and levels of measurement.

Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: SAGE Publications.

 

• Chapter 1, “Review of Basic Concepts” (pp. 1–40)

  Chapter 1 of Warner provides a succinct overview of basic research concepts that were addressed in the previous quantitative analysis course, including descriptive versus inferential statistics and levels of measurement. At the end of this chapter, you will find a helpful table that illustrates a typical research process for a capstone study.

• Chapter 14, “Multiple Regression With More Than Two Predictors” (pp. 547–610)

  Chapter 14 of Warner might seem like a giant leap forward at this point in the course but do not worry. It is a natural progression from the regression you learned in the previous quantitative analysis course, and it explains in straightforward language how to shift your thinking to work with regression models with more than two predictor variables.

 

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