IRTGUI: An R Package for Unidimensional item response theory Analysis With a Graphical User Interface

2021 ◽  
pp. 014662162110405
Author(s):  
Huseyin Yildiz
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
R Package ◽  
Data Sets ◽  
Fit Indices ◽  
Response Theory ◽  
Dichotomous Data ◽  
Item Parameters ◽  
Item Response Theory Analysis ◽  
Item Characteristics

In the last decade, many R packages were published to perform item response theory (IRT) analysis. Some researchers and practitioners have difficulty in using these functional tools because of their insufficient coding skills. The IRTGUI package provides these researchers a user-friendly GUI where they can perform unidimensional IRT analysis without coding skills. Using the IRTGUI package, person and item parameters, model and item fit indices can be obtained. Dimensionality and local independence assumptions can be tested. With the IRTGUI package, users can generate dichotomous data sets with customizable conditions. Also, Wright Maps, item characteristics and information curves can be graphically displayed. All outputs can be easily downloaded by users.

scholarly journals Item Response Theory Analysis of the Texas Functional Living Scale

2020 ◽  
Author(s):  
Deborah A Lowe ◽  
John F Linck
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Functional Impairment ◽  
Item Difficulty ◽  
Clinical Sample ◽  
Functional Abilities ◽  
Response Theory ◽  
Item Parameters ◽  
Item Response Theory Analysis ◽  
Graded Response

Abstract Objective The Texas Functional Living Scale (TFLS) is a performance-based measure of functional abilities assessing the domains of time, money and calculation, communication, and memory. It is likely that certain items are more sensitive at different levels of functional impairment, with some signaling milder degrees of functional difficulty. This study analyzed psychometric characteristics of individual TFLS items using item response theory (IRT) in an outpatient clinical sample. Method In total, 270 adult outpatients completed the TFLS during clinical neuropsychological evaluation. IRT analysis using 2PL and graded response model was applied to the TFLS. Results Item parameters, item characteristic curves, and information curves were produced. Item difficulty (a) parameters ranged from 1.05 to 2.23, and item discrimination (b) parameters ranged from −4.11 to 0.51. Conclusions TFLS items were differentially sensitive along the continuum of functional impairment. Items that were most sensitive to milder degrees of functional impairment involved clock drawing, microwave programming, financial calculation, and prospective memory. Other items that were optimally precise in more severe degrees of functional impairment involved interacting with a calendar and a relatively simple financial calculation task. These findings suggest that the ability to pass at least some of the items on the TFLS may not necessarily reflect fully intact functional abilities. Certain TFLS items may be able to detect the presence of subtle functional difficulties.

scholarly journals Item Response Theory Analysis of Two Questionnaire Measures of Arthritis-Related Self-Efficacy Beliefs from Community-Based US Samples

Arthritis ◽  
2010 ◽  
Vol 2010 ◽  
pp. 1-8 ◽  
Author(s):  
Thelma J. Mielenz ◽  
Michael C. Edwards ◽  
Leigh F. Callahan
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Self Efficacy ◽  
Response Theory ◽  
Theory Analysis ◽  
Community Based ◽  
Item Parameters ◽  
Item Response Theory Analysis ◽  
Graded Response ◽  
Active Living Every Day

Using item response theory (IRT), we examined the Rheumatoid Arthritis Self-efficacy scale (RASE) collected from a People with Arthritis Can Exercise RCT (346 participants) and 2 subscales of the Arthritis Self-efficacy scale (ASE) collected from an Active Living Every Day (ALED) RCT (354 participants) to determine which one better identifies low arthritis self-efficacy in community-based adults with arthritis. The item parameters were estimated in Multilog using the graded response model. The 2 ASE subscales are adequately explained by one factor. There was evidence for 2 locally dependent item pairs; two items from these pairs were removed when we reran the model. The exploratory factor analysis results for RASE showed a multifactor solution which led to a 9-factor solution. In order to perform IRT analysis, one item from each of the 9 subfactors was selected. Both scales were effective at measuring a range of arthritis SE.

Item Response Theory and Music Testing

2019 ◽  
pp. 477-503
Author(s):  
Brian Wesolowski
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Test Scores ◽  
General Framework ◽  
Logistic Function ◽  
Response Theory ◽  
Measurement Models ◽  
Latent Constructs ◽  
Item Parameters ◽  
Introductory Overview

This chapter presents an introductory overview of concepts that underscore the general framework of item response theory. “Item response theory” is a broad umbrella term used to describe a family of mathematical measurement models that consider observed test scores to be a function of latent, unobservable constructs. Most musical constructs cannot be directly measured and are therefore unobservable. Musical constructs can therefore only be inferred based on secondary, observable behaviors. Item response theory uses observable behaviors as probabilistic distributions of responses as a logistic function of person and item parameters in order to define latent constructs. This chapter describes philosophical, theoretical, and applied perspectives of item response theory in the context of measuring musical behaviors.

scholarly journals The Revised Mood Rhythm Instrument: A Large Multicultural Psychometric Study

2021 ◽  
Vol 10 (3) ◽  
pp. 388
Author(s):  
Melissa Alves Braga de Oliveira ◽  
Euclides de Mendonça Filho ◽  
Alicia Carissimi ◽  
Luciene Lima dos Santos Garay ◽  
Marina Scop ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Item Response Theory ◽  
Network Analysis ◽  
Psychometric Properties ◽  
Item Response ◽  
Response Theory ◽  
Item Response Theory Analysis ◽  
Increased Risk ◽  
Psychometric Analyses ◽  
Self Reporting Questionnaire

Background: Recent studies with the mood rhythm instrument (MRhI) have shown that the presence of recurrent daily peaks in specific mood symptoms are significantly associated with increased risk of psychiatric disorders. Using a large sample collected in Brazil, Spain, and Canada, we aimed to analyze which MRhI items maintained good psychometric properties across cultures. As a secondary aim, we used network analysis to visualize the strength of the association between the MRhI items. Methods: Adults (n = 1275) between 18–60 years old from Spain (n = 458), Brazil (n = 415), and Canada (n = 401) completed the MRhI and the self-reporting questionnaire (SRQ-20). Psychometric analyses followed three steps: Factor analysis, item response theory, and network analysis. Results: The factor analysis indicated the retention of three factors that grouped the MRhI items into cognitive, somatic, and affective domains. The item response theory analysis suggested the exclusion of items that displayed a significant divergence in difficulty measures between countries. Finally, the network analysis revealed a structure where sleepiness plays a central role in connecting the three domains. These psychometric analyses enabled a psychometric-based refinement of the MRhI, where the 11 items with good properties across cultures were kept in a shorter, revised MRhI version (MRhI-r). Limitations: Participants were mainly university students and, as we did not conduct a formal clinical assessment, any potential correlations (beyond the validated SRQ) cannot be ascertained. Conclusions: The MRhI-r is a novel tool to investigate self-perceived rhythmicity of mood-related symptoms and behaviors, with good psychometric properties across multiple cultures.

Introduction to bifactor polytomous item response theory analysis

2017 ◽  
Vol 60 ◽  
pp. 41-63 ◽  
Author(s):  
Michael D. Toland ◽  
Isabella Sulis ◽  
Francesca Giambona ◽  
Mariano Porcu ◽  
Jonathan M. Campbell
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Response Theory ◽  
Theory Analysis ◽  
Polytomous Item ◽  
Item Response Theory Analysis ◽  
Polytomous Item Response Theory ◽  
Polytomous Item Response

scholarly journals Investigating diagnostic bias in autism spectrum conditions: An item response theory analysis of sex bias in the AQ-10

2016 ◽  
Vol 10 (5) ◽  
pp. 790-800 ◽  
Author(s):  
Aja Louise Murray ◽  
Carrie Allison ◽  
Paula L. Smith ◽  
Simon Baron-Cohen ◽  
Tom Booth ◽  
...  
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Autism Spectrum ◽  
Autism Spectrum Conditions ◽  
Sex Bias ◽  
Response Theory ◽  
Theory Analysis ◽  
Diagnostic Bias ◽  
Item Response Theory Analysis
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