scholarly journals Application of the item response theory to the distinction tests using the photograph and the relation of item parameters and figure-expression method

2002 ◽  
Vol 36 (3) ◽  
pp. 3-10
Author(s):  
Hirokazu ABE ◽  
Katsuyuki YOSHIDA ◽  
Kokichi CHIBANA
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Response Theory ◽  
Item Parameters

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.

Item Response Theory True Score Equatings and Their Standard Errors

2001 ◽  
Vol 26 (1) ◽  
pp. 31-50 ◽  
Author(s):  
Haruhiko Ogasawara
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Standard Errors ◽  
Simultaneous Estimation ◽  
True Score ◽  
Response Theory ◽  
Asymptotic Standard Errors ◽  
Item Parameters ◽  
Irt Equating ◽  
Equating Coefficients

The asymptotic standard errors of the estimates of the equated scores by several types of item response theory (IRT) true score equatings are provided. The first group of equatings do not use IRT equating coefficients. The second group of equatings use the IRT equating coefficients given by the moment or characteristic curve methods. The equating designs considered in this article cover those with internal or external common items and the methods with separate or simultaneous estimation of item parameters of associated tests. For the estimates of the asymptotic standard errors of the equated true scores, the method of marginal maximum likelihood estimation is employed for estimation of item parameters.

scholarly journals Measuring the quality of life in hypertension according to Item Response Theory

2017 ◽  
Vol 51 (0) ◽  
Author(s):  
José Wicto Pereira Borges ◽  
Thereza Maria Magalhães Moreira ◽  
Jeovani Schmitt ◽  
Dalton Francisco de Andrade ◽  
Pedro Alberto Barbetta ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Item Response Theory ◽  
Item Response ◽  
Latent Trait ◽  
Estimation Of Parameters ◽  
Response Theory ◽  
Item Parameters ◽  
Individual Contributions ◽  
Somatic State

ABSTRACT OBJECTIVE To analyze the Miniquestionário de Qualidade de Vida em Hipertensão Arterial (MINICHAL – Mini-questionnaire of Quality of Life in Hypertension) using the Item Response Theory. METHODS This is an analytical study conducted with 712 persons with hypertension treated in thirteen primary health care units of Fortaleza, State of Ceará, Brazil, in 2015. The steps of the analysis by the Item Response Theory were: evaluation of dimensionality, estimation of parameters of items, and construction of scale. The study of dimensionality was carried out on the polychoric correlation matrix and confirmatory factor analysis. To estimate the item parameters, we used the Gradual Response Model of Samejima. The analyses were conducted using the free software R with the aid of psych and mirt. RESULTS The analysis has allowed the visualization of item parameters and their individual contributions in the measurement of the latent trait, generating more information and allowing the construction of a scale with an interpretative model that demonstrates the evolution of the worsening of the quality of life in five levels. Regarding the item parameters, the items related to the somatic state have had a good performance, as they have presented better power to discriminate individuals with worse quality of life. The items related to mental state have been those which contributed with less psychometric data in the MINICHAL. CONCLUSIONS We conclude that the instrument is suitable for the identification of the worsening of the quality of life in hypertension. The analysis of the MINICHAL using the Item Response Theory has allowed us to identify new sides of this instrument that have not yet been addressed in previous studies.

Linking AM-PAC Mobility and Daily Activity to the PROMIS Physical Function Metric

2021 ◽  
Author(s):  
Anne Thackeray ◽  
Janel Hanmer ◽  
Lan Yu ◽  
Polly McCracken ◽  
Robin Marcus
Keyword(s):  
Item Response Theory ◽  
Physical Function ◽  
Upper Extremity ◽  
Item Response ◽  
Daily Activity ◽  
Calibration Data ◽  
Response Theory ◽  
Item Parameters ◽  
Wide Range ◽  
Fixed Parameter

Abstract Objective The purpose of this study was to link Activity Measure for Post-Acute Care (AM-PAC) Mobility and Daily Activity scales to the PROMIS Physical Function (PF) allowing for a common metric across scales. Methods Cross-sectional study of patients 18 years and older presenting to one of eight outpatient rehabilitation clinics in southwestern Pennsylvania. Patients completed one survey with questions from the AM-PAC Daily Activity and Mobility short forms, and the PROMIS PF item bank. Using item response theory, we performed two rounds of fixed-parameter calibration. In the first, we calibrated the AM-PAC Daily Activity and Mobility items with 27 fixed item parameters from the PROMIS PF. Second, we calibrated the AM-PAC Daily Activity items with 11 PROMIS Upper Extremity fixed item parameters. This process uses the construct of physical function and equates AM-PAC items on the same underlying measurement scale for the PROMIS PF. Results Both scales measured a wide range of functioning and demonstrated good calibration. Data were appropriate for a fixed-parameter item response theory-based crosswalk. AM-PAC Daily Activity and Mobility raw scores were mapped onto the PROMIS PF metric. AM-PAC Daily Activity scores were also mapped onto the PROMIS PF Upper Extremity metric. Conclusion Question items from the AM-PAC Daily Activity, AM-PAC Mobility, and PROMIS PF similarly measure the construct of physical function. This consistency allows for a crosswalk of AM-PAC scores onto the PROMIS PF metric. Impact Crosswalk tables developed in this study allow for converting scores from the AM-PAC Daily Activity and Mobility scales to the PROMIS PF metric. This will facilitate monitoring of longitudinal change in function over time and across settings.

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.

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