Item Factor Analysis: A Primer and New Open-Source Implementation

Author:
Pritikin, Joshua, Department of Psychology, University of Virginia
Advisors:
Boker, Steven, Department of Psychology, University of Virginia
Schmidt, Karen, Department of Psychology, University of Virginia
Von Oertzen, Timo, Department of Psychology, University of Virginia
Abstract:

Have you collected survey data? Here is how to analyze it and why. Interval scale data is obtained from nominal or ordinal data by partitioning data conditional on examinee skill. Item Factor Analysis (a.k.a. Item Response Theory) fits a model to these types of data. Underlying mathematics are presented interwoven with insights gleaned from the experience of writing an open-source software implementation from scratch. Simulation studies, with complete source code included, demonstrate the accuracy of parameter recovery.

Degree:
MA
Language:
English
Rights:
All rights reserved (no additional license for public reuse)
Issued Date:
2013/12/05