Psychology 5520-00
Multilevel Longitudinal Analysis / Rasch Modeling
Spring 2016
COURSE: PSY 5950 – 01 23280
TITLE: Multilevel and Longitudinal Analysis plus Rasch IRT Models
CLASS SCHEDULE: Wednesdays1:00 PM – 3:30 PM; Holt 303
CREDIT: 3 hours graduate credit
FACULTY: Michael Biderman
Holt 350F
423-425-4268 / 423-316-9504
By appointment
ADA STATEMENT: Attention: If you are a student with a disability (e.g. physical, learning, psychiatric, vision, hearing, etc.) and think that you might need special assistance or a special accommodation in this class or any other class, call the Office for Students with Disabilities at 425-4006, come by the office - 102 Frist Hall or see http://www.utc.edu/OSD/
If you find that personal problems, career indecision, study and time management difficulties, etc. are adversely affecting your successful progress at UTC, please contact the Counseling and Career Planning Center at 425-4438 or http://www.utc.edu/Administration/CounselingAndCareerPlanning/.
REQUIRED TEXTS:
Heck, R. H., Thomas, S. L., & Tabata, L. N. (2010). Multilevel and Longitudinal Modeling with IBM SPSS. 2nd Edition. New York: Routledge.
Bond, R. G., & Fox, C. M. (2007). Applying the Rasch Model: Fundamental Measurement in the Human Sciences. 3nd Ed. New York: Routledge. ISBN: 978-0-8058-5462-6 (paper); 978-1-4106-1457-5 (e book); 978-0-8058-5461-9 (cloth). (New purchases come with a disk with data and a student version of WINSTEPS, a Windows based IRT program.)
RECOMMENDED
Singer, J. D., & Willett, J. B. (2003). Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. New York: Oxford University Press.
This course is an advanced graduate course designed to present the fundamentals of multilevel and longitudinal analysis using SPSS and to introduce concepts of item response theory through the Rasch model. PSY 5100/5110 and PSY 5130 are prerequisite for the course. PSY 5950-Advanced SPSS is a strongly recommended prerequisite. Students enrolled in this course should be well-versed in multiple regression analysis, including the use of regression techniques to compare group means as done in traditional analysis of variance. Students should be familiar with analysis of repeated measures data using SPSS. Students should be familiar with basic measurement concepts, such as reliability and validity. The analyses taught in this course are more complex than analyses presented in the prerequisite courses and in any undergraduate Psychology courses at UTC. A higher than average level of intellectual capability, maturity, and interest in data analysis will be required to perform successfully in this course.
Topics
HLM - Heck
Chapter 1: Introduction
Chapter 2: Preparing and Examining Data
Chapter 3: Defining a Basic Two-Level Multilevel Regression Model
Chapter 5: Examining Individual Change with Repeated Measures Data
Singer & Willett Chapters 3,4
Singer & Willett Chapter 5
Rasch Model – Bond & Fox
Chapter 1: Why Measurement is Fundamental
Chapter 2: Important Principles of Measurement Made Explicit
Chapter 3: Basic Principles of the rash Model
Chapter 4: Building a Set of Items for Measurement
Chapter 5: Invariance: A Crucial Property of Scientific Measurement
Chapter 6: Measurement Using Likert Scales
Chapter 7: The Partial Credit Rasch Model
Chapter 10: The Rasch Model Applied Across the Human Sciences
Chapter11: Rasch Modeling Applied: Rating Scale Design
Dimmed chapters are recommended but not required for the course at the present time.
Grading: 1 homework assignment worth 10 points per week consisting of 1-4 parts per assignment.
Longer take-home final – About 10 problems each worth 10 points. Given out on last meeting.
Due date will be ______
Finals will be returned for possible resubmissions on ______
Retakes due at 9 AM on ______.
Regular assignments graded on 10 point scale.
Take-home final worth about 100 points.
1 resubmission of each assignment allowed. Cost is 1 point. So don’t bother to resubmit a 9.
Late submissions and Resubmission must be by next class period after the due date.
Original submissions must accompany resubmissions.
Submissions must be easy to follow, to-the-point, neat, addressing all the relevant issues.
Submissions must be in “portrait” mode.
Email submissions will cost you 1 point per submission.
Submit only enough computer output to show you've done the analyses or to make whatever point you intend – save a tree!! Superfluous output will result in loss of points.