Ed.D. Research Course Electives
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 (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 Statistic (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 nway analysis of variance and covariance, advanced ANOVA designs, advanced non-parametric methods, and, selected multivariate statistical procedures.
RSCH 8121 Qual Data Collect & 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 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 (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.
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 Educational Research (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 8121 Qual Data Collect & 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 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 (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.
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 Educational Research (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)
Description in Banner Express when available.
RSCH 8230 Classical and Modern Test Theory (3)
Description in Banner Express when available.
RSCH 8890 Special Topics in Research (HLM) (3)
Faculty-directed study and in-depth analysis of a selected area of research.