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|EDUC 602 - Quantitative Research Design and Data Analysis|
(Lecture/Lab) This course is an introduction to the descriptive and inferential univariate statistics commonly used to quantitatively analyze social sciences research data. Topics include graphing, central tendency and dispersion measures, standard scores, data cleaning, hypothesis testing, correlation, simple linear regression, nonparametric statistics, and an introduction to ANOVA, including factorial ANOVA, with multiple comparisons. Research methodology is integrated throughout the course. The student is given instruction in common word processing and spreadsheet programs for the purpose of statistical analysis and reporting.
Credits: 0.000 OR 4.000
Levels: Graduate, Doctoral
Schedule Types: Lecture, Self-Directed, Final Exam, Audio/Video, Lec/Lab/Tut Combination, Laboratory, World Wide Web