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Course Criteria
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1.00 - 12.00 Credits
Prerequisite: advanced degree candidacy.
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1.00 - 12.00 Credits
Prerequisite: graduate standing.
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3.00 Credits
No course description available.
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3.00 Credits
Basic concepts of educational research design, statistics, and measurement. The focus of the course is on reading and critiquing research articles, both quantitative and qualitative, and includes an introduction to statistics. Students learn to conduct a review of the literature relevant to a specific research problem. Prerequisite: graduate standing.
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3.00 Credits
Introduces experienced classroom teachers to action research methodology. Action research studies will be reviewed and critiqued. Students will learn to plan, implement, and write up an action research study conducted in a classroom setting. Prerequisites: graduate standing.
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1.00 - 8.00 Credits
No course description available.
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3.00 Credits
Basic concepts of educational survey research design, statistics, and measurement. The focus is on descriptive statistics (measures of central tendency, variability, percent and frequency distribution, bivariate correlation, graphical displays, testing hypotheses about proportions). Students develop questionnaires and plan, conduct, and report on a survey study.
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3.00 Credits
Concepts of experimental and ex post facto research designs, statistics, and measurement. The focus is on inferential statistics. Students construct attitude scales and other instruments used in research and they plan, conduct, and report on a group comparison study. Prerequisite: EDRE 5600.
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3.00 Credits
Concepts of correlational research, statistics, and measurement. Focus is on the design and analysis of results from correlational studies. Statistical topics include MANOVA, multiple regression, factor analysis, and discriminant analysis. Includes measurement topics in classical measurement theory and additional topics in validity and reliability. Plan, conduct, and report on a correlational study. Prerequisites: EDRE 5600.
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3.00 Credits
An advanced educational research, statistics, and measurement course. Design and analysis of results from studies with several dependent and independent variables. Includes multivariate statistics such as MANOVA, discriminant analysis, canonical correlation, multidimensional scaling, structural equation modeling, logit regression. Measurement topics include generalizability theory, item response theory, equating, and standard setting. Prerequisite: EDRE 5610 or EDRE 5620.
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