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.
- 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.