PerFit: An R Package for Person-Fit Analysis in IRT | Zendy

Jorge N. Tendeiro | Zendy; Rob R. Meijer | Zendy; A. Susan M. Niessen | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

PerFit: An R Package for Person-Fit Analysis in IRT

Author(s) -

Jorge N. Tendeiro,

Rob R. Meijer,

A. Susan M. Niessen

Publication year - 2016

Publication title -

journal of statistical software

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 7.636

H-Index - 145

ISSN - 1548-7660

DOI - 10.18637/jss.v074.i05

Subject(s) - computer science , item response theory , r package , test (biology) , statistics , simple (philosophy) , summary statistics , data science , psychology , psychometrics , mathematics , programming language , paleontology , philosophy , epistemology , biology

Checking the validity of test scores is important in both educational and psychological measurement. Person-fit analysis provides several statistics that help practitioners assessing whether individual item score vectors conform to a prespecified item response theory model or, alternatively, to a group of test takers. Software enabling easy access to most person-fit statistics was lacking up to now. The PerFit R package was written in order to fill in this void. A theoretical overview of relatively simple person-fit statistics is provided. A practical guide showing how the main functions of PerFit can be used is also given. Both numerical and graphical tools are described and illustrated using examples. The goal is to show how person-fit statistics can be easily applied to testing of questionnaire data.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research