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Classes in EDMS

EDMS410Classroom 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.
Section 101 Alvestad, K (30 seats open, out of 30 seats.) TuTh 9:30-10:45
Section 102 Alvestad, K (30 seats open, out of 30 seats.) Tu 1-3:45
EDMS451Introduction to Educational Statistics (3 credits)
Junior standing. 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.
Section 101 , STAFFF (35 seats open, out of 35 seats.) MW 12:30-1:45
Section 201 , STAFFF (35 seats open, out of 35 seats.) TuTh 12:30-1:45
Section 301 , STAFFF (35 seats open, out of 35 seats.) MW 2-3:15
Section 401 , STAFFF (35 seats open, out of 35 seats.) TuTh 2-3:15
EDMS610 (PermReq)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.
Section 101 Alvestad, K (10 seats open, out of 10 seats.) W 4:15-7:00
EDMS623Applied Measurement: Issues and Practices (3 credits)
Prerequisite: EDMS410 and EDMS646 or equivalent. Measurement theory and its application at an intermediate level; test development, validation and interpretation; issues and recent developments in measurement.
Section 101 Lissitz, R (25 seats open, out of 25 seats.) Tu 4:15-7:00
EDMS626Measurement 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.
Section 101 Fidelman, C (10 seats open, out of 10 seats.)
EDMS645 (PermReq)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.
Section 101 Jiao, H (30 seats open, out of 30 seats.) Th 4:15-7:00
Section 102 Jiao, H (30 seats open, out of 30 seats.) W 4:15-7:00
Section 103 , STAFFF (10 seats open, out of 10 seats.)
EDMS646Quantitative 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.
Section 101 Macready, G (30 seats open, out of 30 seats.) Th 4:15-7:00
Section 201 Macready, G (30 seats open, out of 30 seats.) W 4:15-7:00
EDMS651Applied 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.
Section 101 Harring, J (40 seats open, out of 40 seats.) M 4:15-7:00
EDMS722Structural 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).
Section 101 Hancock, G (35 seats open, out of 35 seats.) Tu 4:15-7:00
EDMS724Modern Measurement Theory (3 credits)
Prerequisites: EDMS 623; and EDMS 651. Theoretical formulations of measurement from a latent trait theory perspective.
Section 101 Rupp, A (30 seats open, out of 30 seats.) W 4:15-7:00
EDMS771Multivariate Data Analysis (3 credits)
Prerequisite: EDMS 651. Principal components, canonical correlation, discriminant functions, multivariate analysis of variance/covariance and other multivariate techniques.
Section 101 Rupp, A (30 seats open, out of 30 seats.) Th 4:15-7:00

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