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Course Descriptions

3991 Independent Study (1 to 10)
3992 Directed Study (1 to 10)
4900 Educational Measurement (3)
This course examines the meaning, characteristics, and processes of educational measurement and evaluation. Development and interpretation of both standardized and informal tests are considered.
4901 Practicum in Research (1 to 5)
This course provides a supervised experience in design and implementation of an empirical research study. Organization of research proposals, completion of human subjects applications, collection, and analysis of data are emphasized. Students are also expected to prepare a written report of their project which is suitable for professional presentation or publication.
4903 Empirical Research Methods (3)
This course provides in depth study of empirical research requirements involved in experimental, quasi-experimental, correlational, and single-subject designs.
4905 Psychometric Theory (3)
This course examines major psychometric theories (e.g., classical, item response) as they are related to issues of reliability, generalizability, validity, item analysis methods, and criterion-referenced assessment. Prerequisite: QRM 4930.
4906 Topics in Psychometrics (1 to 3)
Topics vary, but include large scale testing, computer applications of item response theory, missing data, affective measure construction, generalizability theory, additive conjoint measurement, and standard testing. Prerequisites: QRM 4905 and instructor approval.
4907 Meta-Analysis Social Sci Res (2)
This course examines meta analytic techniques in the social sciences. Included are discussions of review of critical data bases, coverage of all major methods of data collection and analysis, and coverage of how best to present meta analytic findings for publication.
4908 Topics in Research Design (1 to 5)
Topics vary, but include research ethics, single subject design issues, minimization as an alternative to randomization.
4909 Item Response Theory (3)
Theory and methods for the educational and psychological measurement of latent variables using item response theory are covered in this course.
4910 Education Research & Measurmnt (4)
This course is intended for Masters students in the College of Education. Quantitative research designs, empirical methods of data collection and interpretation, and measurement issues in research are examined.
4920 St Fnds of Research in So Scs (3 to 5)
This is the introductory course on research methods for all Ph.D. students in the College of Education. Included are discussions of identification and development of problems for research; introduction to basic quantitative and qualitative methods of conducting research in educational and human service settings; and critical review of experimental, survey, case study, educational, historical, ethnographic, and criticism methods.
4921 Survey and Design Analysis (3)
Survey techniques, needs assessment, item construction, sampling, maximizing response rates and data analysis; survey construction and data analysis required. Prerequisites: QRM 4920, 4930.
4925 Structural Equation Modeling (5)
Major applications of and issues related to covariance structure modeling, specifically confirmatory factor analysis and latent variable path modeling; types of research applications for which covariance structure modeling analyses using LISREL computer program. Prerequisite: course in multiple regression analysis. Recommended prerequisite: background in multivariate analysis, factor analysis and psychometric theory.
4930 Introductory Statistics (5)
This is the beginning statistics course and examines use and interpretation of statistics in educational and human services research, including descriptive and inferential techniques.
4932 Action Research (3)
Definition of action research, whether it improves classroom practice, methods of conducting, strengths and weaknesses; use to improve specific aspects of educational practice, to become more reflective practitioners.
4950 Multivariate Analysis (5)
Conceptual understanding of common multivariate statistical techniques as applied to research in social sciences; assumptions and limitations of techniques and interpretation of results. Prerequisites: QRM 4920, 4930.
4951 Intro to Qualitative Research (3)
Theoretical and conceptual basis of qualitative research methods in education and social science; effective methodologies for naturalistic studies, ethnographies and case studies; discussion of interview techniques, participant and non-participant observation and collection of documentary materials; techniques for analysis and writing of research, combined with implications for using both quantitative and qualitative approaches; attention to development of overall design of research project.
4952 Correlation and Regression (4)
This course focuses on the study of correlational and multiple regression research designs and their application to educational and social science problems. Prerequisite: QRM 4920, 4930.
4953 Seminar: Qualitative Research (3 to 5)
Offers a solid grounding in the mainstream methods and orientations in qualitative research from an interactionist perspective, including: phenomenology; grounded theory, case studies, ethnography; historical and descriptive approaches. Discussion of styles of interviewing and focus groups. Coverage of ethical issues and human subjects regulations.
4955 Topics in Statistics I (3)
Topics vary by quarter, but may include log-linear analysis, factor analysis, or meta analysis. Prerequisites: QRM 4920, 4930.
4956 Hierarchical Linear Modeling (3)
This course introduces models that extend multpile regression to analysis of nested data structures common in education and other social sciences. Application of these methods to various forms of multilevel data, including repeated measure (growth trajectory) data is emphasized.
4957 Latent Growth Curve Modeling (3)
This course will cover advanced issues in longitudinal data analysis using structural equation modeling and hierarchical linear modeling with latent variables. It will involve both conceptual development and practical implementation of longitudinal data analysis. This course is intended to be a hands-on approach to working with data and addressing research questions that can be best answered by longitudinal data. The prerequisitesare Structural Equation Modeling (QRM 4925) and Hierarchical Linear Modeling (QRM 4956).
4960 Analysis of Variance (5)
One-way analysis of variance through factorial nested designs, and multivariate analysis of variance. Prerequisite: QRM 4920, 4930.
4970 Comp Application-Social Sci (3)
This course focuses on use of SPSS software and other appropriate software programs in the analysis of quantitative data. Prerequisites: QRM 4920, 4930.
4971 Topics in Data Management (3)
This is a prepatory course emphasizing the manipulation and analysis of data in electronic form.
4975 Comp Qualitative Research (3)
Review of assumptions of qualitative designs, types of qualitative approaches and current data-analysis techniques; computer software to analyze qualitative data.
4978 Grant Writing (1)
4979 Program Development & Eval (3)
4980 Program Evaluation Theory (3 to 4)
This course reviews theories of program evaluation, evaluation designs and analysis, and current trends in evaluation. Prerequisite: QRM 4930.
4981 Practicum-Program Evaluation (3)
This course provides a supervised experience in designing, conducting, analyzing, and disseminating the results of a program evaluation. Prerequisite: QRM 4980.
4990 Dissertation Sem Ed & Coun Psy (1 to 5)
This course enables students to begin work on their dissertation and requires that participants turn a research idea into a workable dissertation proposal.
4991 MA Independent Study (1 to 17)
This course allows Masters students in QRM to study a topic area independently in conjunction with a cooperating faculty member.
4992 Directed Study (1 to 10)
4995 Research - M.A. Thesis (1 to 17)
This course is for Masters students in QRM whose program requires completion of a Master's thesis. Prerequisite: Advanced standing in the program.
4XXX QRM Transfer (1 to 10)
5991 PhD Independent Study (1 to 17)
This course allows Ph.D. students in QRM to study a topic area independently in conjunction with a cooperating faculty member.
5992 Directed Study (1 to 10)
5995 Dissertation Research (1 to 20)
This course is for Ph.D. students in QRM who are engaged in completing their doctoral dissertation. Prerequisites: advanced standing in the program.
6991 Ph.D. Independent Study (1 to 17)
6995 Dissertation Research (1 to 20)