2011Ophthalmic EpidemiologyRequires access

Understanding Rasch and Item Response Theory Models: Applications to the Estimation and Validation of Interval Latent Trait Measures from Responses to Rating Scale Questionnaires

Robert W. Massof

Open publisher page 65 citations

Abstract

BACKGROUND: Modern psychometric theory is now routinely used in clinical vision research, as well as other areas of health research, to measure latent health states on continuous interval scales from responses to self-report rating scale questionnaires. Two competing theories are commonly employed: Rasch theory and item response theory. METHODS: Because the field is currently in transition from using traditional scoring algorithms based on classical test theory to using the more modern approaches, this article offers a tutorial review of Rasch theory and item response theory and of the analytical methods employed by the two theories to estimate and validate measures.

About this research paper

What this paper is about

BACKGROUND: Modern psychometric theory is now routinely used in clinical vision research, as well as other areas of health research, to measure latent health states on continuous interval scales from responses to self-report rating scale questionnaires. Two competing theories are commonly employed: Rasch theory and item response theory. METHODS: Because the field is currently in transition from using traditional scoring algorithms based on classical test theory to using the more modern approaches, this article offers a tutorial review of Rasch theory and item response theory and of the analytical methods employed by the two theories to estimate and validate measures.

Why it matters

OpenAlex reports 65 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

BACKGROUND: Modern psychometric theory is now routinely used in clinical vision research, as well as other areas of health research, to measure latent health states on continuous interval scales from responses to self-report rating scale questionnaires. Two competing theories are commonly employed: Rasch theory and item response theory. METHODS: Because the field is currently in transition from using traditional scoring algorithms based on classical test theory to using the more modern approaches, this article offers a tutorial review of Rasch theory and item response theory and of the analytical methods employed by the two theories to estimate and validate measures.

Key concepts: Rasch model, Item response theory, Classical test theory, Rating scale, Test theory, Psychometrics, Medicine, Polytomous Rasch model

Related papers

Back to paper searchBrowse research topicsOriginal source
Understanding Rasch and Item Response Theory Models: Applications to the Estimation and Validation of Interval Latent Trait Measures from Responses to Rating Scale Questionnaires — Research Paper | ScholarLens