6 courses with the subject EDEC, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
EDEC 742Diversity/Equity in Educ
This course will examine issues relevant to diversity and equity in education. Prominent sociological and anthropological works on race, class, gender and their intersectionality in educational contexts will be discussed. Discussions will center on how these constructs impact equality and equity in educational environments. Extant research and theoretical frameworks specific to diversity and equity in education will be examined and critiqued. Credits 3
This course will provide candidates with an introduction to different types of quantitative research methods and statistical techniques. The course will be divided into two sections: 1) methods for quantitative research and, 2) quantitative statistical techniques for analyzing data. The course begins with a focus on defining research problems, theory testing, data identification and classification, causal inference, and designing research instruments. Then, the class will explore a range of statistical techniques and methods that are available for empirical research. Candidates will work in teams to explore research methods that may be applicable to their individual dissertation including: Primary and Secondary Data Analysis, Sampling, Survey Design, and Experimental Designs. Topics in quantitative techniques include Descriptive and Inferential statistics. Emphasis is placed on practical usage of quantitative methods and the acquisition of sufficient theoretical knowledge needed for data interpretation. Credits 3
This course focuses on the application of advanced qualitative research methods. Course topics may be related to data collection (e.g., interviews, focus-groups, observations, field logs, document analysis), sampling (e.g., maximum variation, snowball, convenience, quota), validity (e.g., member checks, intercoder reliability, auditing, bracketing, triangulation), and other important topics (e.g., rapport, ethical considerations, epistemology, ontology, coding techniques). Emphasis is placed on practical usage of qualitative methods and sufficient theoretical knowledge needed for data interpretation. Credits 3
This course focuses on the identification and classification of data and the application of quantitative research methods designed to answer specific questions of interest identified by the candidates as applicable to the development of their dissertation. Candidates will have the opportunity to identify a research problem, develop appropriate question(s), select the methodology for answering the question(s), conduct the analysis on dummy data, and interpret the results. Course topics may include: correlation, regression, effect size, analysis of variance, analysis of covariance, and multiple analyses of variance. In this course, candidates will run and interpret quantitative research using various software applications. Emphasis is placed on practical usage of quantitative methods and the acquisition of sufficient theoretical knowledge needed for data interpretation. Credits 3
This course is designed to provide a springboard from which candidates will successfully plan, write, defend, and complete an EdD dissertation. The instructor will guide candidates through the construction of research questions, the theoretical framework, and the problem statement sections of their dissertations. The instructor will also teac candidates dissertation format standards, psychological and time management demands, committee formation, Institutional Review Board (IRB) process, and project management. Credits 3
