Quantitative Data Analysis
Quantitative data analysis preparing students to design, conduct, and interpret statistical analyses in educational research.
 Hours3.0 Credit, 3.0 Lecture, 0.0 Lab
 PrerequisitesT Ed 691 or approved equivalent; acceptance in MA in Teacher Education program or instructor's consent
Course Outcomes: 

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.