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

Pritikin, Joshua
Format
Thesis/Dissertation; Online
Author
Pritikin, Joshua
Advisor
Schmidt, Karen
Boker, Steven
Von Oertzen, Timo
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.
Language
English
Published
University of Virginia, Department of Psychology, MA (Master of Arts), 2013
Published Date
2013-12-05
Degree
MA (Master of Arts)
Collection
Libra ETD Repository
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