Thank you for visiting my course notes. Here are some upcoming opportunities to learn from me and my colleagues in person:
|Diagnostic Measurement||May 22-25, 2017||Omni Hilton Head Oceanfront Resort, Hilton Head Island, South Carolina||Jonathan Templin|
|Introduction to Longitudinal Multilevel Models||May 30-June 2, 2017||Omni Hilton Head Oceanfront Resort, Hilton Head Island, South Carolina||Lesa Hoffman|
Item Response Theory:
Methods for the Analysis of Discrete Survey Response Data
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
|All Files ZIP||Zipped Folder|