• Department
  • Undergraduate Program
  • Graduate Program
  • People
  • Research
  • GIVE
  • PSYCHOLOGY 290    Section: 4


    Spring Quarter 2006

    Units: 4
    Prerequisites: Graduate standing or consent of instructor. See instructor for CRN.
    Course description: This course provides an introduction to state-of-the-art methods of longitudinal data analysis. Course format: This is a 4 unit course comprised of one three-hour lecture/discussion section each week and approximately 5 hours of homework per week. Course topics: Topics include descriptive methods of data presentation, structural equation models, growth curve modeling from both the structural modeling and multilevel modeling viewpoints, and survival analysis. Grading: Grades will be based class participation, a class presentation, and a term paper project that describes an analysis of empirical data using a method discussed in the course


    Textbook Information not Available Yet
    Classroom Class Schedule Course Website
    145 Young M   2:00 PM - 5:00 PM
    Instructor Instructor Email Office Office Hours
    Emilio Ferrer , Ph.D. 174C Young Hall 1-3 Wednesday
    Keith Widaman , Ph.D. 265 Young Hall 9-11:45 Wednesdays