MIXED METHODS IN MENTAL HEALTH SERVICES RESEARCH Syllabus
Course Learning Objectives
Upon successfully completing this course, students will be able to:
- summarize the core characteristics of mixed methods research applied to mental health services research
- conceptualize existing mixed methods design typologies on a continuum from basic to complex (the QUAL-MM-QUAN continuum) as applied to mental health services research
- present similarities and differences in the concepts of measurement, validity and credibility; and in the concepts of reliability and dependability as applied to mental health
- describe the procedures for ensuring the quality of data when conducting mental health services research
- discuss analysis strategies for mixed methods mental health services research design
- read a mixed methods research article relevant to mental health services research and pick out the important quantitative, qualitative, and mixed methods components
- discuss the construction of mixed methods proposals and research programs in mental health services research
- discuss the strategies for publication and funding of mixed methods mental health services research
Introduces students to the field of mixed methods research, which can be thought of as research in which investigators combine quantitative and qualitative research techniques, methods, approaches, concepts or language into a single study or program of research. Focuses on applications in mental health services research. Acquaints student with the logic of inquiry, which includes the use of induction (discovery of patterns), deduction (testing theories and hypotheses), and abduction (uncovering and relying on the best of a set of explanations for understanding results). Explores which questions lend themselves to mixed methods research. Discusses mixed designs and methods, and writing. Students critique mixed methods manuscripts and proposals, and can outline a mixed methods study based on their own program of research.
Researchers and program evaluators in applied settings. Mental health services researchers. Quantitative researchers who want to incorporate qualitative methods. Qualitative researchers who want to incorporate quantitative methods
Methods of Assessment
Grading Policy: Students are evaluated by participation in discussions and preparing an outline for a mixed methods publication or proposal. Students can prepare in advance an abstract (< 250 words) describing a research project or paper.
Grading Restrictions: Pass and Fail
A basic knowledge of research design and a background in mental health / behavioral research will be the primary prerequisites. Our approach is applicable to investigators trained in quantitative methods (e.g., epidemiology or psychology, MPH students) who wish to be introduced to mixed methods research, as well as to others with a qualitative orientation to the social sciences (anthropology, sociology) may also benefit from this introductory course.
Academic Ethics Code
The code, discussed in the Policy and Procedure Memorandum for Students, March 31, 2002, will be adhered to in this class:
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 Services
If 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: email@example.com, 410-955-3034, or 2017 E. Monument Street.