Item Response Theory Workshop: Summer 2014 (ICPSR)


Upcoming Workshops:

Thank you for visiting my course notes. Here are some upcoming opportunities to learn from me and my colleagues in person:

WorkshopDatesLocationInstructor
Diagnostic MeasurementMay 22-25, 2017Omni Hilton Head Oceanfront Resort, Hilton Head Island, South CarolinaJonathan Templin
Introduction to Longitudinal Multilevel ModelsMay 30-June 2, 2017Omni Hilton Head Oceanfront Resort, Hilton Head Island, South CarolinaLesa Hoffman

Item Response Theory:
Methods for the Analysis of Discrete Survey Response Data

ICPSR Summer Workshop at the University of Michigan
June 30, 2014 – July 3, 2014

Presented by:

Dr. Jonathan Templin
Department of Psychology and Research in Education
University of Kansas
email: jtemplin@ku.edu
http://jonathantemplin.com

Course Overview

Item Response Theory (IRT) is used in a number of disciplines including sociology, political science, psychology, human development, business, and communications, as well as in education where it began as a method for the analysis of educational tests.  More broadly, IRT is useful in the development and analysis of survey measures where item responses are in the form of discrete categories. This course is geared to individuals who are interested in the foundations and applications of item response models as tools for measurement of latent traits across disciplines. The course is designed to acquaint students with the basics of the field of item response theory (IRT).

This course will begin with presentation of popular item response models, their estimation, and interpretation, and then continue reinforcing these lessons throughout the week with numerous examples and applications using data from different disciplines (including political science, education, and psychology). Additional topics include test equating, test development with IRT, differential item functioning, and computerized adaptive testing. The course will be focused on accessibility, with technical detail presented only when necessary for responsible application of the methods and techniques discussed. Participants should be familiar with basic statistical models (e.g., ANOVA and regression) and basic psychometrics (e.g., classical test theory), but no prior experience with item response or other psychometric models is assumed.

The course will utilize software developed for estimation of general latent variable models (Mplus). In addition to a course packet, you will have electronic access to all course materials, including overhead slides, analysis scripts, output files, relevant supporting documentation, and recommended readings.

Overall Course Files
Syllabus:Syllabus
All Files ZIPZipped Folder
Schedule of Topics
DateLecture SlidesAdditional Materials
Monday, June 30thHistorical Perspectives and Basic Statistical Prerequisites
Basic IRT Concepts, Models, and AssumptionsIRT Excel Example
Lab Activity: Introduction to Mplus Software for IRTZipped Folder of Files
Tuesday, July 1stModel Specifications and Scale Characteristics
IRT Models for Polytomous Response DataGraded Response Model Excel Example

Partial Credit Model Excel Example

Nominal Response Model Excel Example
Estimation of Item Response Models
Assessment of Model Fit
Wednesday, July 2ndLab Activity: Polytomous IRT Models Zipped Folder of Files
Latent Trait Reliability Information Functions Excel Example
Test Development with IRT
Computerized Adaptive Testing
Lab Activity: DIF ExampleZipped Folder of Files
Thursday, July 3rd Multidimensional IRT
Diagnostic Classification Models