Graduate Courses for Measurement, Statistics, and Evaluation (EDMS)

Schedule of Classes: Fall | Winter | Spring | Summer
(Only current and next semester available)

EDMS 410 Classroom Assessment (3 credits)
Junior standing.
Developing and using classroom assessments, including tests, performance assessments, rating scales, portfolios, observations and oral interactions; basic psychometric statistics; standard setting; grading; communicating assessment information; testing ethics; locating and evaluating measures; program evaluation and classroom research; assessments used for educational policy decisions.

EDMS 451 Introduction to Educational Statistics (3 credits)
Sophomore standing. Credit will be granted for only one of the following: BIOM301, BMGT230, ECON321, EDMS451, GEOG305, GVPT422, PSYC200, or SOCY201.
Introduction to statistical reasoning; location and dispersion measures; computer applications; regression and correlation; formation of hypotheses tests; t-test; one-way analysis of variance; analysis of contingency tables.

EDMS 489 Field Experiences in Measurement and Statistics (1-4 credits)
Prerequisite: permission of department. Repeatable to 4 credits.
Planned field experience in education-related activities. Credit not to be granted for experiences accrued prior to registration.

EDMS 498 Special Problems in Measurement and Statistics (1-3 credits)
Prerequisite: permission of department. Repeatable to 6 credits.
Available only to education majors who have formal plans for individual study of approved problems.

EDMS 610 Classroom Assesment and Evaluation (3 credits)
Develop the understandings and skills needed to validly, reliably, and accurately assess student learning and to provide focused leadership in the area of classroom assessment.

EDMS 622 Theory and Practice of Standardized Testing (3 credits)
Prerequisite: EDMS 45l; or EDMS 645.
Principles of interpretation and evaluation of aptitude, achievement, and personal-social instruments; theory of reliability and validity; prediction and classification; norm- and criterion-referenced testing concepts.

EDMS 623 Applied Measurement: Issues and Practices (3 credits)
Prerequisite: EDMS410 and EDMS645 or equivalent.
Measurement theory and its application at an intermediate level; test development, validation and interpretation; issues and recent developments in measurement.

EDMS 626 Measurement Techniques For Research (3 credits)
Prerequisite: EDMS 646.
Theory, development and applications of various measurement instruments and procedures. Questionnaires, interviews, rating scales, attitude scales, observational procedures, ecological approaches, Q-sort, semantic-differential, sociometry and other techniques.

EDMS 635 Computer-Based Measurement (3 credits)
Prerequisite: EDMS 651; and EDMS 623.
Theory and technological developments in computer-based measurement, including computer adaptive testing, instructional testing, item banking, applications to non-cognitive measures, as well as comparisons to traditional methods.

EDMS 645 Quantitative Research Methods I (3 credits)
Research design and statistical applications in educational research: data representation; descriptive statistics; estimation and hypothesis testing. Application of statistical computer packages is emphasized.

EDMS 646 Quantitative Research Methods II (3 credits)
Prerequisite: EDMS 645.
A second-level inferential statistics course with emphasis on analysis of variance procedures and designs. Assignments include student analysis of survey data. Application of statistical computer packages is emphasized.

EDMS 647 Introduction to Program Evaluation (3 credits)
Prerequisite: EDMS 645.
Overview of the program evaluation process; problems encountered in the practice of program evaluation.

EDMS 651 Applied Multiple Regression Analysis (3 credits)
Prerequisite: EDMS 646 or equivalent.
Multiple regression and correlation analysis; trend analysis; hierarchical and stepwise procedures; logistic regression; computer programs for regression analysis.

EDMS 653 Correlation and Regression Analysis (3 credits)
Prerequisite: EDMS 651 and permission of department.
Systematic development of multiple regression, non-linear regression and other regression-based methods. Emphasis is on underlying theory of procedures and on analytical approaches.

EDMS 655 Introduction to Multilevel Modeling (3 credits)
Prerequisite: EDMS 651 or equivalent.
Introduction to multilevel models and methodology as strategies for modeling change and organizational effects.

EDMS 657 Factor Analysis (3 credits)
Prerequisite: EDMS 651.
Development of models for factor analysis and their practical applications. Treatment of factor extraction, rotation, second-order factor analysis, and factor scores. Introduction to linear structural relations models.

EDMS 665 Survey of Advanced Data Analysis for School Systems (3 credits)
Prerequisite: EDMS 651 or equivalent.
Survey of advanced data analysis procedures applied to schools systems. Students will learn about Hierarchical Linear Modeling (HLM), factor analysis for purposes of test construction and test validations, and special topics that utilize these.

EDMS 722 Structural Modeling (3 credits)
Prerequisite: EDMS 657.
Statistical theory and methods of estimation used in structural modeling; computer program applications; multisample models; mean structture models; structural models with multilevel data (e.g., sampling weights, growth models, multilevel latent variable models).

EDMS 723 Latent Structure Models (3 credits)
Prerequisites: EDMS 623; and EDMS 651.
Theoretical development and application of latent class models.

EDMS 724 Modern Measurement Theory (3 credits)
Prerequisites: EDMS 623; and EDMS 651.
Theoretical formulations of measurement from a latent trait theory perspective.

EDMS 738 Seminar in Special Problems in Measurement (1-3 credits)
Prerequisite: permission of department. Repeatable to 3 credits.
An opportunity for students with special interests to focus in depth on contemporary topics in measurement. Topics to be announced, but will typically be related to applied and theoretical measurement.

EDMS 747 Design of Program Evaluations (3 credits)
Prerequisites: EDMS 626; and EDMS 647; and EDMS 651 or permission of both department and instructor.
Analysis of measurement and design problems in program evaluations.

EDMS 769 Special Topics in Applied Statistics in Education (1-4 credits)
Prerequisite: permission of department.
Designed primarily for students majoring or minoring in measurement, statistics or evaluation.

EDMS 771 Multivariate Data Analysis (3 credits)
Prerequisite: EDMS 651.
Principal components, canonical correlation, discriminant functions, multivariate analysis of variance/covariance and other multivariate techniques.

EDMS 779 Seminar in Applied Statistics (1-3 credits)
Prerequisite: permission of department. For EDMS majors only. Repeatable to 3 credits if content differs.
Enrollment restricted to students with a major or minor in measurement, statistics or evaluation. Seminar topics will be chosen by individual student interest.

EDMS 780 Research Methods and Materials (3 credits)
Prerequisite: EDMS 651.
Issues in research including problems and hypotheses, variable definition, design principles, ethics, generalizability, sampling, and power analysis; writing and criticizing research reports.

EDMS 798 Special Problems in Education (1-6 credits)
Master's, EDMS majors, or doctoral candidates who desire to pursue special research problems under the direction of their advisors may register for credit under this number.

EDMS 799 Master's Thesis Research (1-6 credits)
For EDMS majors only.
Registration required to the extent of 6 credits.

EDMS 879 Doctoral Seminar (1-3 credits)
Prerequisite: permission of department.
Analysis of doctoral projects and theses, and of other on-going research projects. Doctoral candidates may participate in the seminar during as many university sessions as they desire, but may earn no more than three semester hours of credit accumulated one hour at a time in the seminar. A Ph.D. candidate may repeat to a combined maximum of eighteen credits in the seminar and in EDMS 899.

EDMS 889 Internship in Measurement and Statistics (3-12 credits)
Prerequisite: permission of department.
Provides internship experiences at a professional level of competence in a particular role with appropriate supervision. Credit not to be granted for experience accrued prior to registration. Open only to students advanced to candidacy for doctoral degree.

EDMS 898 Pre-Candidacy Research (1-8 credits)

EDMS 899 Doctoral Dissertation Research (1-8 credits)
Registration required to the extent of 12-18 credits.