Graduate Courses (Educational Statistics, Measurement, and Evaluation 291)
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15:291:511
Introduction to Assessment, Applied Statistics, and Research (3)
This course offers professionals knowledge regarding assessment, research, and basic statistical procedures. Statistical topics including descriptive statistics, graphing, software applications, normal distribution theory, correlation analysis, prediction, and an introduction to hypothesis testing are addressed. Consideration is given to qualitative versus quantitative research methods. Purposes, meaning, and types of assessment, which include norm versus criterion referenced; personality, portfolio, and aptitude assessment are included, as are ethical issues and approaches to accommodating students with disabilities.
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15:291:515
Psychometric Theory I (3)
Psychological and statistical principles underlying test design, analysis, and interpretation with emphasis on classical psychometric theory; analysis of reliability and validity and their estimation; the development, analysis, and use of both norm-referenced and criterion-referenced tests; and introduction to scaling techniques.
Prerequisite: 15:291:531 or 16:960:531 or 15:291:511.
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15:291:518
Quantitative Educational Research Designs (3)
This course is designed to introduce several categories of the most commonly used quantitative research designs in educational fields. Students will be exposed to educational research that uses these research methods and will learn the fundamental knowledge and skills necessary to design a research study in their field of interest.
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15:291:520
Program Evaluation: An Introduction to Methods and Practice (3)
Topical survey of program evaluation methods and practice for those whose professional responsibilities will include evaluation, or who will require a knowledge of industry standards in order to purchase evaluation services. Activities include hands-on evaluation projects.
Formerly 16:300:520. Prerequisite: 15:291:531 or 16:960:531 or 15:291:511.
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15:291:531
Statistical Methods I (3)
Descriptive
statistics, SPSS statistical package, graphing, normal distribution
theory, simple regression, correlation analysis, elementary probability
theory, sampling, confidence intervals, and introduction to hypothesis
testing.
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15:291:532
Statistical Methods II (3)
Design of experiments; SPSS statistical package; z, t, chi-square, and F tests; multiple regression analysis; one-way and two-way analysis of variance; and post-hoc procedures.
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15:291:620
Program Evaluation: Theory and Advanced Methods (3)
Review of evaluation theory, methods, and practice; designing evaluations that require advanced methods; designing evaluations to address those who traditionally have been marginalized in evaluation activities; and pursuing research in evaluation theory. Prepares students for leadership roles in program evaluation research and practice.
Prerequisite: 15:291:520.
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15:291:639
Topics in Educational Statistics, Measurement, and Evaluation (3)
Topics of current interest within educational statistics, measurement, and evaluation. Topic varies each semester.
Prerequisite: Permission of instructor.
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Courses 
