Note: Rasch/IRT is not introduced in earlier editions, as it became available in Stata 14. The 5th edition of this book will be available from Stata in early 2016. A Gentle Introduction to Stata, 5th edition. Item Response Theory (IRT) - Draft of chapter that will appear in Acock, Alan C. Supporting MaterialĪcock, Alan C., (2015). Acock also has provided answers to some common questions about participating in this type of webinar. Please email Jennifer Crosswhite with any questions. If you purchase this webinar after the live broadcast, you can request a 30-day evaluation license from Stata to use when you watch the recording. You also will receive a practice dataset and a copy of the webinar text one week before the live webinar. You'll receive the free license, the activation code, and installation instructions one week prior to the webinar for use during the webinar, and you should install Stata 14 prior to the webinar so you can run the commands yourself. 29 to receive a free 90-day trial version of Stata 14. This is a hands-on webinar, and you'll need Stata 14 to participate older versions of Stata will not work.
run alternative IRT Models: 1 parameter models (Rasch models), 2 parameter models (IRT), and Graded Reponse Model - IRT for Likert Type Scales.compare IRT measures to summated type scales (e.g., Likert).use IRT evaluate the psychometric properties of existing measures.use Item Response Theory (IRT) to develop new measures of attitudes, beliefs, and values.No experience with Stata, Rasch modeling, or IRT is needed.Īpproved for 2 CFLE contact hours of continuing education credit. This webinar is intended for family researchers, graduate students, and advanced undergraduates. (While there are also generalized partial credit models, rating scale models, nominal response models, and hybrid models that are easy extensions, this set of models will not be covered in the webinar.) Acock also introduces Differential Item Functioning theory. For Likert-type items there are Graded Response Models (extension of 2-parameter IRT and Partial Credit Models (extension of 1-parameter Rasch model). For binary items there are 1-parameter (Rasch) models, 2-parameter IRT models, and 3-parameter models. Stata 14 makes it very easy to estimate a variety of IRT models. IRT is widely used in computer adaptive testing, such as the SAT test, and offers many advantages over traditional summated scales such as Likert-type scales. In this webinar, Alan Acock, Ph.D., shares information from a new chapter on Item Response Theory (IRT) from the 5th edition of his book, A Gentle Introduction to Stata.
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