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| INTRODUCTION TO ITEM RESONSE THEORY (IRT) MODELING AND APPLICATIONS A one-day short course sponsored by the Joint Program in Survey Methodology |
DECEMBER 11, 2012
Presented at the Washington Marriott at Metro Center
BRYCE REEVE
COURSE OBJECTIVES
Each year, new surveys are developed or revised from previous measures in the hope of obtaining surveys that are reliable, valid, sensitive to change, and provide interpretable scores that accurately characterize a respondent’s standing on a measured construct. This need for psychometrically sound measures calls for better analytical tools beyond the methods available from traditional measurement theory. Applications of item response theory (IRT) modeling have increased considerably in educational, psychological, and health outcomes measurement because of its utility for survey development and evaluation, assessment of measurement equivalence, instrument linking, and computerized adaptive testing. IRT models the relationship, in probabilistic terms, between a person's response to a survey question and their standing on a latent construct such as depression, anxiety, or fatigue. This information allows survey developers to build reliable and efficient measures tailored for an individual or group.
This introductory course will discuss the basic concepts and methods of IRT models including understanding the theory behind the models, defining and interpreting IRT model properties, differentiating among the various IRT models, checking model assumptions, and interpreting IRT scores. Further, the course will use examples from previous research to demonstrate how IRT methods can be used to inform and refine survey development, assessment measurement equivalence, link survey scores, and build item banks for short forms or computer-adaptive testing (CAT).
WHO SHOULD ATTEND
The course is geared to individuals in government, universities, business, and nonprofit organizations interested in understanding and applying item response theory modeling in instrument development and evaluation. Introductory course work in statistics is recommended but not required.
THE INSTRUCTOR
Bryce Reeve is an Associate Professor within the Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill (UNC-CH). He is also a member of the UNC Lineberger Comprehensive Cancer Center. Dr. Reeve received his doctorate in 2000 in quantitative psychology from UNC-CH. He served, from 2000 to 2010, as an Outcomes Researcher and Program Director at the U.S. National Cancer Institute (NCI). His work focuses on enhancing the application of patient-reported outcomes (PROs) in clinical research and practice to improve the quality of care for pediatric and adult cancer patients. This includes the development of PRO measures using qualitative and quantitative methodologies and integration of PRO data in research and healthcare delivery to inform decision-making.
While at NCI, Dr. Reeve served as a NIH Science Officer on the Patient-Reported Outcomes Measurement Information System® (PROMIS®) Network. The PROMIS Network provides to the public a web-based resource to dynamically administer, collect, and report data on key symptom and health-related quality of life domains relevant to a variety of chronic diseases.
Also, Dr. Reeve served as the lead NCI Program Officer on the project to develop the patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE). The goal is to employ rigorous scientific methods to create a system for patient self-reporting of adverse symptoms in cancer trials, which is widely accepted and used; generates useful data for investigators, regulators, clinicians and patients; and is compatible with existing adverse event reporting systems
Dr. Reeve currently serves as President of the International Society for Quality of Life Research (ISOQOL). He also serves on NCI’s Symptom Management and Health-Related Quality of Life Steering Committee and ALLIANCE’s Health Outcomes Committee. He also serves as an advisor for the European Organization for Research and Treatment of Cancer (EORTC) group on Patient Reported Outcomes and Behavioral Evidence (PROBE).
COURSE MATERIALS
Registrants will be provided with a course lecture notebook.
MEALS
JPSM group continental breakfasts, lunches and refreshments are included in the course fee.
CHECK-IN
Course registrants must check-in with JPSM Onsite.
TENTATIVE SCHEDULE
| Tuesday: December 11, 2012 |
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| 8:00 - 9:00 | Registrant Check-In and Continental Breakfast |
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9:00 – 10:30 |
Introduction and Overview – Item Response Theory (IRT) - Theory behind IRT - IRT Item and Scale properties - IRT Family of Models |
| 10:30 - 10:45 | Break |
| 10:45 - 12:00 | -IRT Model Assumptions -Classical versus Modern Measurement Theory |
| 12:00 - 1:00 | Lunch |
| 1:00 - 2:30 | Illustration of concepts and methods in Dataset |
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2:30-2:45 |
Break |
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2:45 – 4:15 |
Application of IRT methods for: -Survey Development and Refinement -Examining Differential Item Functioning (DIF) -Linking Surveys - Item Banking - Computerized-Adaptive Testing -Patient-Reported Outcomes Measurement Information System (PROMIS) projec |
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4:30 |
Adjourn |
FEES
Fees and awards are not transferrable due to nonattendance. The course fee is $350 for JPSM sponsor affiliates, $350 for full-time university students, and $480 for other participants. Sponsor Affiliate List: http://projects.isr.umich.edu/jpsm/info.cfm#sponsors .
REGISTRATION
Online registration is required. The registration deadline is November 27, 2012.Confirmation of acceptance will be sent after the registration form has been processed. The email will include directions to the course. Registrants are responsible for keeping track of their registrations and course dates. Contact JPSM if you have any questions concerning the status of the registration. Fees and awards are not transferrable due to nonattendance. Short Courses: www.jpsm.org/shortcourses
PAYMENT
Payment by credit card is required. Payment is due November 27,2012. Payment may be done online during registration. Post registration payment may be done online at www.jpsm.org/shortcourses using the registration number or by calling 800.937.9320. Credit card payments may also be faxed to 734.764.8263.
CANCELLATION
Please notify JPSM as soon as possible if you need to cancel your registration. Fees and awards are not transferrable due to nonattendance. Cancellation requests should be done online at www.jpsm.org/shortcourses . You will be fully reimbursed if you cancel by November 27, 2012 Cancellation November 28, 2012 will require a $100 administrative fee, the remainder will be reimbursed. Cancellation on or after December 4, 2012 is subject to the full fee amount.
FELLOWSHIP
The Joint Program in Survey Methodology strives to increase the number of survey professionals from groups traditionally under-represented in the field. As part of this effort, a limited number of competitive fellowships are available to African-Americans, Latinos, Hispanic Americans, and Native American Indians for the short course. The registrant must be a US citizen or permanent resident.
Fellowship applicants should submit:
The online registration form, essay, and letter of recommendation are due by November 13, 2012. JPSM will evaluate the applications and inform the successful applicants by November 20, 2012. The fellowship covers the registration fee, materials to be distributed during the course and the JPSM group continental breakfasts, lunches and breaks. The essay and letter of recommendation may be faxed to 734.764.8263 or emailed to JPSMShort@isr.umich.edu.
WASHINGTON MARRIOTT AT METRO CENTER
775 12th Street NW, Washington, District Of Columbia 20005 USA Phone: 202.737.2200
Web: http://www.marriott.com/hotels/travel/wasmc-washington-marriott-at-metro-center/
Classroom & Luncheon Areas: Salons C-D (Ballroom Level - Below Lobby) Note room change!
The course will be held at the Washington Marriott at Metro Center. The hotel is situated near the Metro Center Station, with easy access to Reagan National Airport (4.0 mi N), Washington Dulles Airport (25.0 mi E) and BWI Baltimore Washington Airport (40.0 mi S) as well as the Amtrak station.
OVERNIGHT ROOMS
Individuals are responsible for making their own overnight room reservations and for payment.
PARKING
Registrants are responsible for parking fees. Valet parking is available at the hotel for $42 per day. There are numerous parking garages near the hotel. Parking garage rates range from $13 to $20 a day.
METRO RAIL
Metro Center Station: Red, Blue, Orange Lines (G & 12th Street)
The distance from the station to the hotel is 377 feet, a one minute walk.
BUS AND TRAIN
Union Station: (2.0 mi E)
AIRPORTS
DCA - Ronald Reagan National Airport (4 Miles)
IAD – Washington Dulles International Airport (25 Miles)
BWI - Baltimore/Washington Thurgood Marshall Airport (40 Miles)
JPSM CITATION PROGRAM
The citation programs are built around the JPSM short courses. The JPSM Citation in Introductory Survey Methodology is designed to provide the working professional or interested student with state-of-the-art knowledge about current principles and practices for conducting complex surveys combined with practical skills of day-to-day utility. The JPSM Citation in Introductory Economic Measurement is designed for professional staff who need to know the principles and practices of economic measurement. Completion of either citation program involves taking a semester-length JPSM credit-bearing course and eight JPSM short courses, of which four are specified core courses. For information on the Certificate and Citation Programs visit the website at http://www.jpsm.org or call 301.314.7911.
INQUIRIES
Questions for this course should be directed to the JPSM Short Course, Institute for Social Research, University of Michigan, 426 Thompson Street, Room 4006, Ann Arbor, MI 48104-2321, Phone: 800.937.9320, Fax: 734.764.8263, Email: jpsmshort@umich.edu.
Short Courses: www.jpsm.org/shortcourses
Sponsor Affiliate List: projects.isr.umich.edu/jpsm/info.cfm#sponsors
JPSM Home Page: www.jpsm.org
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Primary Funding for JPSM is from the Interagency Council on Statistical Policy |