**Review** Graduate Catalog 2025-2026

SRM 600 Introduction to Graduate Research

Principles of research, design and analysis. Read and critique published research. Required of all first year graduate students except in those departments with substitutes. Taught every semester.
3

Level Restriction

Include GR

SRM 602 Statistical Methods I

Brief review of descriptive statistics. Covers probability, inference and sampling, correlation, hypothesis testing one-way ANOVA and an introduction to computer statistics packages.
3

Prerequisites

SRM 600 with a minimum grade of C

Level Restriction

Include GR

SRM 603 Statistical Methods II

Continuation of SRM 602. Review of one-way ANOVA. Covers multiple comparisons, factorial designs, nested and mixed models, repeated measures, analysis of covariance and use of computer statistics packages.
3

Prerequisites

SRM 602 with a minimum grade of C

Level Restriction

Include GR

SRM 606 Multiple Linear Regression Analysis

Matrix approach to continuous and categorical variables, polynomial Selected non-linear models; formulation of ANOVA and ANCOVA designs and collinearity; regression methods; backward elimination, forward selection, stepwise regression.
3

Prerequisites

(SRM 502 or SRM 603 with a minimum grade of C)

Level Restriction

Include GR

SRM 607 Non-Parametric Statistics

Study non-parametric tests; the rationale underlying the tests; examples of application of the tests in behavioral research; and comparison of the tests with their parametric equivalents.
3

Prerequisites

SRM 502 with a minimum grade of C

Level Restriction

Include GR

SRM 608 Experimental Design

Topics include factorial designs, crossed/nested designs, repeated measurements, blocking, analysis of covariance, pre- and post-multiple comparisons, trend analysis, power and use of computer software.
3

Prerequisites

(SRM 502 or SRM 603 with a minimum grade of C)

Level Restriction

Include GR

SRM 609 Sampling Methods

Learn methods of survey sampling, including such topics as simple and stratified random sampling, ratio estimation, cluster sampling, systematic sampling, questionnaire design, problems of non-response and non-sampling errors.
3

Prerequisites

SRM 502 with a minimum grade of C

Level Restriction

Include GR

SRM 610 Statistical Methods III

Additional multiple regression topics. Introduction to MANOVA designs, discriminant analysis, factor analysis, cluster analysis, and path analysis.
3

Prerequisites

(SRM 502 or SRM 603 with a minimum grade of C)

Level Restriction

Include GR

SRM 611 Advanced Statistical Data Analysis

This course is intended to provide students with the tools to perform analyses that go beyond traditional methods such as multiple regression, multiple ANOVA, and classical repeated-measures ANOVA, including data situations in which these modeling techniques have failed assumptions.  General topics include diagnostics and remedies for failed traditional linear modeling assumptions, missing data techniques, power and sample size calculations and simulations, and other modern data methods.
3

Prerequisites

(SRM 502 or SRM 603 with a minimum grade of C)

Notes

 

Level Restriction

Include GR

SRM 614 Linear Models

Advanced topics in matrix algebra with applications to statistics. Development of the theory of linear models as a structure for handling problems in regression, analysis of variance, and experimental design.
3

Prerequisites

(SRM 502 and SRM 551 with a minimum grade of C)

Level Restriction

Include GR

SRM 619 Applied Longitudinal Data Analysis

This course is intended to provide students with the tools to perform appropriate and informative longitudinal data analyses. The level of the topics and discussions are intended to appeal to both established researchers with experience working with longitudinal data as well as new researchers with no background in longitudinal data.
3

Prerequisites

(SRM 502 or SRM 603 with a minimum grade of C)

Level Restriction

Include GR

SRM 620 Advanced Statistical Programming

Introduces advanced programming tools using the SAS System. Designed to better qualify students for jobs in statistical data analysis.
3

Prerequisites

(SRM 520 or SRM 502 or SRM 603 with a minimum grade of C)

Level Restriction

Include GR

SRM 622 Directed Studies

Individualized investigation under the direct supervision of a faculty member. (Minimum of 37.5 clock hours required per credit hour.)
1- 3

Special Notes

Maximum concurrent enrollment is two times.

Level Restriction

Include GR

Course Attribute

Variable Title Course

Repeatable Status

Course is repeatable with no limitations

SRM 625 Applied Multiple Regression Analysis

Acquaint students with the major applications of and issues related to multiple regression analysis. Gain the skills necessary for conducting and interpreting studies involving multiple regression analysis.
3

Prerequisites

(SRM 602 and SRM 603 with a minimum grade of C)

Level Restriction

Include GR

SRM 626 Applied Multilevel Modeling

Acquaint students with the major applications and issues related to multilevel modeling. Gain the skills necessary for conducting and interpreting studies involving multilevel modeling.
3

Prerequisites

(SRM 602 and SRM 603 and SRM 625 with a minimum grade of C)

Level Restriction

Include GR

SRM 627 Survey Research Methods

Covers the uses of surveys, the process involved in designing and implementing a survey study, and general issues related to survey research.
3

Prerequisites

(PSY 674 and SRM 600 and SRM 602 with a minimum grade of C)

Level Restriction

Include GR

SRM 629 Structural Equation Modeling

Applications of and issues related to covariance structure modeling. Students will gain skills needed for designing, conducting, and interpreting studies involving confirmatory factor analysis and latent variable path modeling.
3

Prerequisites

(SRM 625 and SRM 610 with a minimum grade of C)

Level Restriction

Include GR

SRM 635 Categorical Data Analysis

Principles of Categorical Data Analysis. Emphasis on log-linear and logic modeling techniques, which parallel many features of the general linear model in the continuous case. Taught alternate years.
3

Level Restriction

Include GR

SRM 636 Applied Bayesian Statistics

This course provides an introduction to Bayesian statistical methods for inference. Topics include prior, likelihood, posterior, and predictive distributions, Bayesian analysis of single parameter models and simple multi-parameter models using conjugate, non-informative and informative priors, hierarchical modeling, and simulation of posterior distributions and posterior summaries using statistical packages.
3

Prerequisites

SRM 502 with a minimum grade of C

Level Restriction

Include GR

SRM 637 Applied Time Series Analysis

Covers, the principles of analyzing time series data; descriptive techniques, time series models; ARIMA, SARIMA, fitting time series models in time domain, forecasting, model selection and diagnostic checking.
3

Prerequisites

(SRM 606 or SRM 625 with a minimum grade of C)

Level Restriction

Include GR

SRM 641 Special Topics

Advanced topics in applied statistics, measurement theory and research. Specific topics will be determined by the instructor and by current student needs.
1- 4

Level Restriction

Include GR

Course Attribute

Variable Title Course

Repeatable Status

ST - Repeatable under different subtitles with no limits on the number of times it can be repeated

SRM 645 Statistical Process Control

Introduction to the use of statistical methods for quality improvement. Provides a comprehensive coverage of material from basic principles to state-of-the-art concepts and applications to both product and non-product situations.
3

Prerequisites

SRM 502 with a minimum grade of C

Level Restriction

Include GR

SRM 650 Research and Statistics Colloquium

Required of all Master's and doctoral students. Students present the results of their own research and critique and discuss the presentations of other students and faculty. S/U graded.
1

Level Restriction

Include GR

Repeatable Status

Course is repeatable with no limitations

SRM 660 Mixed Methods Research

Topics will include the historical background, 'paradigm wars', design, theory, advantages/disadvantages, writing and defending proposals, validity/reliability and data analysis of mixed methods or complimentary research.
3

Prerequisites

(SRM 680 and SRM 602 and Concurrent Prerequisite SRM 603 with a minimum grade of C)

Level Restriction

Include GR

SRM 665 Data Analysis for Decision-Making

Decision-making inquiry for addressing real-world problems in education, health, and social science settings. Students will gain skills needed to design, analyze, and communicate findings to support data-informed decision-making.
3

Prerequisites

(SRM 600 and SRM 602 with a minimum grade of C)

Level Restriction

Include GR

SRM 670 Evaluation: Models and Designs

Theories and methods of program evaluation, models of evaluation and the social context of evaluation. Nature and types of evaluation, planning, proposal writing and measurements.
3

Prerequisites

SRM 600 with a minimum grade of C

Level Restriction

Include GR

SRM 671 Grant Writing for Evaluators

Emphasis on application of advanced skills in research and evaluation to the pre-proposal, proposal and post-proposal phases of the grant writing process. Students will develop an applied project with stakeholders.
3

Prerequisites

SRM 670 with a minimum grade of C

Level Restriction

Include GR

SRM 673 Evaluation: Advanced Methods

Advanced methodological techniques for program evaluation. Topics include tailoring evaluations to the needs of clients and stakeholders, diagnostic procedures and needs assessments, program monitoring and judging the impact of programs.
3

Prerequisites

SRM 670 with a minimum grade of C

Level Restriction

Include GR

SRM 680 Introduction to Qualitative Research

This course introduces qualitative research. Students will explore the foundations, methods and processes of qualitative research and will learn to evaluate published research.
3

Mutually Exclusive Course

EPRE 680

Level Restriction

Include GR

SRM 683 Visual and Virtual Inquiry

Students will explore research topics in visual and virtual inquiry including: history, contemporary relationship to critical research, ethical dilemmas, and current use in their own discipline. Visual and virtual products will be developed as demonstrations of students' increased methodological understandings.
3

Prerequisites

SRM 680 with a minimum grade of C

Level Restriction

Include GR

SRM 684 Research Ethics

Study of ethics in human research including history, theory, disciplines' codes, IRB, distinctive respondents. Students receive an IRB training certificate, learn to prepare IRB application, and develop an ethical stance.
1

Level Restriction

Include GR

SRM 685 Educational Ethnography

Provides in-depth study of ethnography as related to educational research including issues of ethics, politics, diversity, and the researcher's role. Students will propose and conduct a mini-educational ethnography.
3

Prerequisites

SRM 680 with a minimum grade of C

Level Restriction

Include GR

SRM 686 Qualitative Case Study Research

In depth examination of qualitative case study research. Characteristics of general case studies along with specific types of case studies will be covered. Students will propose and conduct a mini-case study.
3

Prerequisites

SRM 680 with a minimum grade of C

Level Restriction

Include GR

SRM 687 Narrative Inquiry

In depth study of narrative research including life history, oral history, biography, and auto-ethnography. Group and individual narrative inquiries will be conducted. Interviewing, ethics and research benefiting participants will be emphasized.
3

Prerequisites

SRM 680 with a minimum grade of C

Level Restriction

Include GR

SRM 688 Writing Qualitative Research

An in-depth study of the role writing plays in quantitative research data collection, analysis and representation. Students will use data they collected in a variety of analysis and writing activities.
3

Prerequisites

(SRM 680 with a minimum grade of C) and (SRM 685 or SRM 686 or SRM 687 with a minimum grade of C)

Level Restriction

Include GR

SRM 689 Internship in Applied Statistics

Experiential learning in an on-campus setting, such as the Research Consulting Lab. Students work a minimum of 3 hours per week for each hour of credit. S/U graded.
1-10

Level Restriction

Include GR

Repeatable Status

Course is repeatable with a maximum of 10 credit hours

SRM 694 Practicum

Experiential learning in an on-campus setting, such as the Research Consulting Lab, in conjunction with supervision by a faculty member. Students work a minimum of 3 hours per week for each hour of credit. S/U graded.
1- 9

Level Restriction

Include GR

Repeatable Status

Course is repeatable with a maximum of 18 credit hours

SRM 697 Master's Project

This course is intended to facilitate a capstone project at or near the completion of all other required courses for the MS Applied Statistics and Research Methods degrees. S/U graded.
3

Prerequisites

(SRM 502 and SRM 600 with a minimum grade of C)

Level Restriction

Include GR