Item Response Theory Fall 2017

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In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.

A 2-Day Seminar Taught by Tenko Raykov, Ph.D.

Behavioral, social, educational, biomedical, business, and marketing scientists are frequently involved in the evaluation, development and revision of multiple-component measuring instruments, such as tests, scales, inventories, questionnaires, surveys, subscales, testlets, subscales, etc.  Scores obtained from these measuring instruments are often employed in various analyses addressing substantive research questions. The quality of these measuring instruments determines the extent to which the subsequent analyses and modeling efforts can be trusted. To ensure high quality of the instruments, researchers must carefully study their psychometric properties and engage in multiple revisions of their tentative variants.

This two-day seminar provides a thorough introduction to Item Response Theory (IRT, Item Response Modeling, IRM). It covers multiple intermediate levels as well as several more advanced topics. Throughout the seminar, many empirical examples are utilized from the educational, behavioral, and social sciences. Mplus, Stata and R are used for all examples, along with a detailed discussion of the command syntax and interpretation of the output.  At the end of the seminar, users of any of these software packages will be able to conduct analyses using the modeling methods covered in the seminar.

Participants in this seminar can expect to come away with:

  1. A nuanced understanding of the conceptual foundations and basic mathematical and statistical relationships underlying IRT/IRM.
  2. The ability to understand, interpret and explain the output from R, Mplus, and Stata for evaluating the psychometric properties of given measuring instruments.
  3. An appreciation of the advantages of a thorough study of the underlying latent structure of a tentative version of a multi-component instrument under consideration.
  4. Practical tools and strategies for constructing an initial version of a test/instrument of interest and its revision aimed at improving its quality, based on item information and test information functions.
  5. The ability to improve a given measuring instrument, in order to achieve higher psychometric standards.
  6. The ability to deal with issues arising in the practice of studying tests, scales, and instruments using IRT/IRM.

Venue:  

Address:
1515 Market Street, Philadelphia, Pennsylvania, 19103, United States