600

RES 600 Introduction to Doctoral Studies and Research

This course introduces students enrolled in selected professional doctoral programs to doctoral studies and various methods of conducting and evaluating research in their corresponding specialties and areas of interest. Students acquire knowledge and skills to identify potential researchable issues and questions. They also learn how to develop plans to conceptualize, conduct, and implement research projects. Students engage in small-scale applied research projects and select published research for evaluation and critique. Pre-requisite(s): Admission to a doctoral program; or permission of Program Chair or designate. Co-requisite(s): None. 3 semester hours

3

RES 640 Survey Research and Intro to Statistical Software

This quantitative course provides students with skills necessary for the survey research process used across the disciplines of business, education, and the behavioral sciences. The goal is to familiarize students with survey design and analysis. Approaches include item construction, sampling, reliability, validity, and data analysis and interpretation using SPSS. The final product is a completed prospectus reflective of the survey design. It is strongly recommended that students take this course only in their final semester. Pre-requisite(s): None. Co-requisite(s): None. 3 semester hours

3

RES 650 Data-Driven Decision Making and Research

In this course students study methodologies, assumptions,. and techniques for collection and analysis of. organizational data. The course includes a review of current research and trends in data-driven decision making. Throughout the course students analyze cases to develop a practitioner's knowledge of research, evaluation, and data use for organizational improvement. Pre-requisite(s): RES 600; or permission of Program Chair or designate. Co-requisite(s): None. 3 semester hours

3

RES 652 Quantitative Research Method

This course provides an introduction to quantitative methods for research. Topics covered include research design, statistical inference and significance testing, correlation, t-tests, ANOVA, regression, and non-parametric tests for categorical data. Pre-requisite(s): RES 600; or permission of Program Chair or designate. Prior undergraduate or graduate course in statistics recommended. Co-requisite(s): None. 3 semester hours

3

RES 654 Qualitative Research Methods

This course develops and enhances the knowledge of qualitative research methods. Students explore diverse and complex contexts of research and ways to conceptualize, conduct, and evaluate qualitative research with an emphasis on research designs and strategies for data collection and analysis. Students engage in critical discussions surrounding qualitative research validation criteria, research ethics, aesthetics, and other considerations. Pre-requisite(s): RES 600; or permission of Program Chair or designate. Co-requisite(s): None. 3 semester hours

3