Examines the central issues and venerable theories of philosophical ethics that have historically framed research ethics. Also examines contemporary ethical theory that emphasizes a greater attention to the social sciences. Focuses on research ethics (both research of human subjects and research misconduct), various issues of professional academic ethics, and the AERA ethical code. Requisites: Restricted to graduate students only.
Examines special topics in theory and research related to educational equity and cultural diversity in education. Topics vary each semester. May be repeated up to 12 total credit hours. Requisites: Restricted to graduate students only.
Examines ways in which issues of language can affect the validity of educational research. Discusses how language can be properly addressed with a multidisciplinary perspective through different stages in the process of an investigation, including design, sampling, data collection, and data analysis. Provides the conceptual basis for addressing linguistic diversity from a multidisciplinary perspective. Requisites: Restricted to graduate students only.
Introduces students to classical test theory and item response theory. Emphasizes the process of developing, analyzing and validating a survey instrument. Focuses on developing a survey instrument with items that derive from a clearly delineated theory for the construct to be measured. Analyzes item responses and put together a validity argument to support the proposed uses of the survey. Requisites: Restricted to graduate students only.
Focuses on psychometric models for measurement and their applications in educational and psychological research. Emphasizes understanding and evaluating the utility of models from item response theory (IRT). Applies and compares measurement models in the context of simulated or empirical data sets. Recommended prereq., EDUC 8710.
Requires students begin semester with qualitative data already collected (from class project, pilot study, dissertation). Focuses on three approaches to data analysis: reconstruction, coding (deductive and inductive), and constant comparative method. Students apply these approaches to their own data. Instructors customize part of course to address specific topic of expertise, e.g., discourse analysis, video analysis, textual analysis, ethnographic analysis. May be repeated up to 12 total credit hours.
Focuses on theories underlying traditional and contemporary proposals for assessment of student learning, and design and research of large-scale and classroom-based methods to assess student learning. Explores intersections between large-scale and classroom assessment, although greater attention is given to issues related to classroom assessment. Requisites: Restricted to graduate students only.
Provides students with ongoing opportunities to write social science research in the context of the design, analysis and data representation, development, and write-up of students' dissertation proposals and dissertations. Students will learn to expand how they think about and use evidence, clarify their ideas and arguments, and improve their writing. Students working on proposals and dissertations should enroll. Requisites: Restricted to EDCI, EECD, EPSY, EFPP or REME PhD graduate students only.
