The following courses, numbered 5000-9999, are offered for graduate credit. Courses numbered 5000-6999 which are offered for undergraduate credit only may be found in the undergraduate bulletin, as well as all other undergraduate courses (numbered 0900-4999). Courses in the following list numbered 5000-6999 may be taken for undergraduate credit unless specifically restricted to graduate students as indicated by individual course limitations. For interpretation of numbering system, signs and abbreviations, see University Courses.
Prereq: admission to school and community psychology, or marriage and family therapy program. Introduction to research methodology in school and community psychology and marriage and family therapy.
(I)
Principles and practices of evaluation and measurement with special focus on behavioral goals. Informal and formal evaluational strategies. Problems of self-evaluation. Logical, philosophical, and linguistic problems of evaluational methods and devices. Metrical analyses and standards. Innovations in educational assessment and accountability. Teacher-made tests. (T)
Qualitative methods for action research in schools, including interviewing, field observation, life histories, visual records, and document analysis. (T)
Review of mathematics essential for statistics, sampling, computer use. Basic patterns of statistical inference, confidence estimation and significance testing regarding measures of averages, dispersion, correlation, and selected non-parametric statistics. One-way and two-way analysis of variance. (T)
Basic skills in educational research; nomenclature, problem, theory, hypothesis formulation; bibliographical and documentary techniques; retrieval systems; development of data-gathering instrumentation; computer orientation and research uses; collection and organization of data; manuscript development; report writing; techniques, methodologies for descriptive and experimental inquiry. (T)
Prereq: EER 7630. Introduction to computer use in educational research with emphasis on using statistical packages (MIDAS and SPSS, BASIC programming language); writing statistical programs.
(T)
Coreq: EER 8820, 8840, or 8860. Analysis of variance/covariance, multivariate analysis, structural equations, nonparametric, permutation, exact and robust methods courses. Students complete class assignments and projects using advanced statistical procedures.
(F,W)
Fundamentals of epistemological issues, educational perspectives of qualitative research and research design. Readings in qualitative research. Conducting the case study, personal history, and cognitive study. Overview of methods for analyzing talk, text, and interaction.
(F,W)
Prereq: EER 7900; coreq: EER 7660. Major paradigms of qualitative evaluation, strategies of inquiry, methods of collecting and analyzing materials, the art of interpretation. analysis of real data, including pattern coding, data displays, checklist matrices, transcription, explanation prediction within-case vs. cross-case displays, ethical issues in evaluation. Computer use in qualitative evaluation. (F)
Prereq: EER 7610, 7630, 8640; or consent of instructor. Educational and school program evaluation: alternative approaches; students propose theory-based designs and strategies. (W)
Prereq: EER 7610 or equiv. Classical measurement theory including scaling, measurement error, reliability, validity. Review of strong statistics versus weak measurement debate. Empirical methods of psychometric applications in education and educational psychology. (Y)
Prereq: EER 8760 or equiv. Coreq: EER 7660. Modern measurement theory. Item response theory, including one and three parameter models, detecting item bias, multi-dimensional scaling. (W)
Prereq: EER 7630 or equiv. Coreq: EER 7660. Multiple, partial, canonical correlation: variance and covariance analysis; Models I and II. Statistical analysis in experimental designs; Random Blocks, Latin Squares, Greco-Latin Squares, simple and complex factorials, confounding, fractional and split-plot designs. Supporting topics and techniques; missing observations; adjustment of means; probing the homogeneity of means and variances; study of contrasts; orthogonal polynomials and computer usage. (Y)
Prereq: EER 7630 or equiv. Coreq: EER 7660. Discriminant analysis, profile analysis; placement and classification problems; component and factor analysis. Supporting topics and techniques; transformation of variables, computer usage. (Y)
Prereq: admission to doctoral program. Coreq: EER 7660. Application of structural equation methods to applied educational psychology research. Model specification, estimation, and fit. Confirmatory factor analysis and correlation. (Y)
Prereq: EER 7610, 7630, 7640 or equiv. and consent of adviser. Coreq: EER 7660. Application of nonparametric, permutation, exact and robust methods to social and behavioral science data. Techniques of estimation, location, and association for discrete and continuous data. (F,W)
Prereq: EER 7630 and 8800. FORTRAN 77/90/95 applied to Monte Carlo Methods for the development of new statistics and procedures and the comparison of existing methodologies. Solving data analysis problems via simulation techniques. (F,W)
Prereq: EER 7900, EER 8700. Field Placement. Integration of theory with practice for conducting, analyzing, and reporting qualitative research or evaluation in the schools. (W)
Prereq: EER 7630 or equiv. Design of empirical research for students possessing basic knowledge of statistics. Topics include hypothesis construction, sampling theory, experimental and quasi-experimental designs, selection of statistical procedure, and construction of data gathering instruments. (F,W)