STATISTICS FOR PSYCHOSOCIAL RESEARCH: MEASUREMENT Syllabus
Course Learning Objectives
Upon successfully completing this course, students will be able to:
Course DescriptionPresents quantitative approaches to measurement in the psychological and social sciences. Topics include the principles of psychometrics, including reliability and validity; the statistical basis for latent variable analysis, including exploratory and confirmatory factor analysis and latent class analysis; and item response theory. Draws examples from the social sciences, including stress and distress, social class and socioeconomic status, personality; consumer satisfaction, functional impairment and disability, quality of life, and the measurement of overall health status. Intended for doctoral students.
Intended AudienceGraduate students in the School of Public Health
Methods of Assessment
Student evaluation based on problem sets and a final exam.
Prerequisites140.621-624, former 140.601-604, or 140.651-654, or consent of instructor
Additional Faculty Notes:
Please Note: Consent of the instructors is only required if you are an undergraduate, or if you have not fulfilled the statistical prerequisites listed above.
Additional Faculty Notes:
Devellis RF. (2011) Scale Development: Theory and Applications. Newbury Park. Sage. (2003 or 1991 editions also OK)
Kim J-O, Mueller CW. (1988) Factor Analysis: Statistical Methods and Practical Issues. Beverly Hills, CA. Sage.All texts are available through Amazon.com, may not be available at campus bookstore.
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.
The First day of class is Wednesday, 9/4/2013. There will be no lab on Friday, 9/6/2013
Please note, consent to register is only necessary if you are an undergraduate, or if you have not taken 140.621-624 or equivalent.
It is not necessary to register separately for the labs, lab session assignments will be announced after the start of classes, though you may be allowed to switch if you can demonstrate a conflict.
It is not necessary to take "Introduction to Online Learning" - that course is only required for distance (web-based) courses that have no in-person lectures.
Please direct course inquiries to Jeannie-Marie (Sheppard) Leoutsakos: firstname.lastname@example.org
Please note that mail to any e-mail address for me gets forwarded to a single site, do not be concerned if you see alternate e-mail addresses, they will all get to me.
Contact Information(from old syllabus)
Office: Bayview Alpha Commons 4th Floor
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: email@example.com, 410-955-3034, or 2017 E. Monument Street.