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Quantitative Data Analysis


3.0 Credit, 3 Lecture, 0 Lab


Quantitative data analysis preparing students to design, conduct, and interpret statistical analyses in educational research.

Data Analysis

  • Students will be able to picture and understand the shape of a distribution (central tendency & spread) by using various plotting techniques.
  • Students will understand and calculate measures of central tendency (median, mode, mean) as well as understand the notion of level of measurement.
  • Students will list and describe the major research methods used in educational and social sciences.
  • Students will understand the advantages and disadvantages of survey research, observations, field work, lab experiments, and secondary analyses.
  • Students will demonstrate knowledge of basic statistical concepts (i.e., understand the assumptions underlying most statistical analyses).
  • Students will learn how to prepare, clean, and manage quantitative data.
  • Students will gain expertise in the following statistical analyses:  reliability, chi-square, t-test, ANOVA, correlation, and regression.