QUALITATIVE RESEARCH II: DATA ANALYSIS Syllabus
PLEASE NOTE: This course is continuing to use the CoursePlus site for 224.690 - Qualitative Research I: Theory and Methods from third term. Please refer to that site for further information.
Meeting days and room number have changed.
Monday 8:30 - 10:20 a.m.
Wednesday 8:30 - 10:20 a.m.
Wednesday 10:30 - 11:50 in W4030 or
Friday 9:00 - 10:20 (Friday lab in W2017)
Course Learning Objectives
Upon successfully completing this course, students will be able to:
- describe inductive and deductive approaches to coding textual data
- collect and analyze systematic data using Anthropac,
- manage textual data files effectively to ensure ease of use and participant confidentiality
- use the basic functions of a computer software program for coding and analysis of textual data
- write a qualitative paper in a format like that of a peer-reviewed journal article
Prerequisites224.689 amd 224.690 or permission of instructor
Please see the course Session for a full list of dates and items for this course.
Academic Ethics Code
Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.
Disability Support ServicesIf you are a student with a documented disability who requires an academic accommodation, please contact Betty H. Addison in the Office of Student Life Services: firstname.lastname@example.org, 410-955-3034, or 2017 E. Monument Street.