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The purpose of this course is to prepare PhD students for the process of data review, cleaning, and analysis required for conducting high quality, quantitative research. Students should have access to a data set they can actively use in class.
This course is not delivered by distance media; it is driven by an agreement between the instructor and the student. Typical examples are thesis, research, internship, and other courses where the objectives and activities are determined jointly by the instructor and the student. In most cases, the agreement on course activities and objectives is reached with the student and advisor or instructor before enrollment in the course. During the course, the instructor and student communicate by any convenient means, usually phone and email.
This course has an online component delivered through Canvas.
Students are expected to have completed graduate introductory courses in both quantitative and qualitative research methods.
Must be enrolled in one of the following Levels: Graduate (GR) OR Professional (PR)
Students please check with your advisor about the number of credits in which to enroll.