Research Courses

List of Research Courses (select 9 credits)

RSCH 8110 Descriptive and Inferential Statistics*(3)
Identification of objective reporting and decision-making statistics; application of descriptive and inferential methods; illustration of elementary parametric and nonparametric techniques in hypothesis testing; and, demonstration of the fundamentals of data processing.

RSCH 8111 Qualitative Research Methods*(3)
Demonstration of historical, philosophical, biographical, ethnographic, and case study methods; location of information sources, application of methods of data collection and analysis, field techniques, and strategies for writing research results.

RSCH 8112 Survey Research Methods* (3)
Techniques of survey research, including developing proposals, addressing ethical issues, selecting direct and indirect methods, preparing questionnaires, sampling, analyzing and presenting data, writing research reports, extending applications to program evaluation. 

RSCH 8113 Single-Case Research* (3)
In-depth study of single-case research methods (i.e., data collection, research designs, data display and analysis, and proposal writing), using single-case research to establish evidence-based practices, and effect size metrics for single-case research.

RSCH 8120 Advanced Statistics *(3)
Application of advanced topics in probability and statistics as a basis for objective decision-making, with emphasis on the following practices through analysis of prepared data: multiple correlation and regression, one-way and n-way analysis of variance and covariance, advanced ANOVA designs, advanced non-parametric methods, and, selected multivariate statistical procedures.

RSCH 8121 Qualitative Data Collection and Analysis* (3)
An advanced qualitative research methods course introducing various qualitative data collection and analysis techniques. Multiple analytic strategies are surveyed and compared from a range of social sciences. Also provides a practical introduction to the use of computer packages for qualitative data analysis.

RSCH 8130 Presentation and Computer Analysis of Data* (3)
Examination of principles, strategies, and techniques of program evaluation in order to identify, clarify, and apply defensible criteria that indicate a program’s value, quality, utility, effectiveness, and/or significance.

RSCH 8140 Multivariate Statistics *(3)
Multiple regression, multivariate analysis of variance, discriminant function analysis, factor analysis, and other multivariate methods applied to descriptive, correlational, and experimental research problems.

RSCH 8150 Structural Equation Modeling Methods* (3)
Applies general statistical modeling techniques to establish relationships among variables. Topics include: regression models, path analysis models, exploratory and confirmatory factor analyses, latent variables, basic steps in structural equation modeling, multiple indicators and multiple causes (MIMIC) model, multi-group model, multilevel model, mixture model, structured mean model, second order factor model, latent variable growth model, and dynamic factor model.

EDCI 8180 Critical Issues and Perspectives in Urban Education* (3)
Introduction to some of the current critical issues in urban education. Topics include: structural inequality, immigration, poverty, (re) segregation, the impact of race, class, ethnicity, gender and language, as well as No Child Left Behind. In this course, these topics and other issues will be examined from critical, historical, socio-cultural, and political perspectives. This is an intensive reading and writing course that also requires participation in school and/or community activities to better understand the urban environment.

RSCH 8196 Program Evaluation Methods* (3)
Examination of principles, strategies, and techniques of program evaluation in order to identify, clarify, and apply defensible criteria that indicate a program’s value, quality, utility, effectiveness, and/or significance.

RSCH 8210 Applied Research Methods* (3)
Advanced study of qualitative (e.g., Case Study, Ethnography, Grounded Theory) and quantitative (e.g., Experimental, Single Subject, Descriptive, Correlational, Causal-Comparative) research methods and evaluation research approaches.

RSCH 8220 Advanced Measurement* (3)
Advanced Measurement is an overview course offered once a year and presents a wide array of higher-level information on measurement issues, including the selection, administration and interpretation of traditional and non-traditional standardized and individually constructed tests. Topics include: classical and modern test theories and is intended as an overview for consumers of research.

RSCH 8230 Classical and Modern Test Theory* (3)
Advanced level course applying the principles of classical and modern test theory. Topics include: mathematical and statistical concepts, models, assumptions, and problems of classic test theory, basic and advance concepts of item response theory, validity and reliability, test construction, test equating, and standard setting

RSCH 8410 (Research Internship)
Prerequisite: RSCH 8140 or equivalent. Issues and concepts in statistical consulting, educational research design, and educational measurement are applied to practical problems in the field.  This course supports the professional development of doctoral students as they gain experience applying educational research methods to research projects for school systems and related agencies.

RSCH 8411 (Teaching Internship)
Prerequisite: ADMN 8695 and RSCH 8210 or equivalent. Issues and concepts in teaching adults and preparing educational researchers are applied in the college teaching experience. This course supports doctoral students as they experience a graduated co-teaching process ultimately resulting in assumption of full college teaching responsibilities for university courses in educational research topics. 

ADMN 8695 Advanced Seminar in Teaching and Learning * (3)
Examination of a number of current teaching models to provide a framework for choosing those appropriate for a given classroom setting with special attention to the relationship between teaching strategies and learning outcomes.

RSCH 8699 Dissertation Proposal Design (3) [this course is the same as ADMN 8699]
Identification and definition of a research area and development of a proposal draft for an original research study appropriate for the dissertation requirement.

RSCH 8890 Hierarchical Linear Models* (3)
Faculty-directed study and in-depth analysis of a selected area of research.

RSCH 8999 Dissertation Research (3)
Execution of original research study that addresses the solution to an educational or school-related problem or that addresses a substantive educational leadership or programmatic issue.

Note: 8000 level research courses from other doctoral program across the university may be considered as part of research specialization or secondary area of concentration.