scholarly journals An Introduction to Item Response Theory and Rasch Analysis: Application Using the Eating Assessment Tool (EAT-10)

2017 ◽  
Vol 19 (1) ◽  
pp. 91-102 ◽  
Author(s):  
Jacob Kean ◽  
Erica F. Bisson ◽  
Darrel S. Brodke ◽  
Joshua Biber ◽  
Paul H. Gross

Item response theory has its origins in educational measurement and is now commonly applied in health-related measurement of latent traits, such as function and symptoms. This application is due, in large part, to gains in the precision of measurement attributable to item response theory and corresponding decreases in response burden, study costs, and study duration. The purpose of this paper is twofold: introduce basic concepts of item response theory and demonstrate this analytic approach in a worked example, a Rasch model (1PL) analysis of the Eating Assessment Tool (EAT-10), a commonly used measure for oropharyngeal dysphagia. The results of the analysis were largely concordant with previous studies of the EAT-10 and illustrate for brain impairment clinicians and researchers how IRT analysis can yield greater precision of measurement.

2012 ◽  
Vol 3 (1) ◽  
pp. 27 ◽  
Author(s):  
Stephanie L. Fitzpatrick ◽  
Patrick G. Saab ◽  
Maria M. Llabre ◽  
Randall Penfield ◽  
Judith R. McCalla ◽  
...  

The purpose of this study was to assess the psychometric properties of a cardiovascular health knowledge measure for adolescents using item response theory. The measure was developed in the context of a cardiovascular lifestyle intervention for adolescents with elevated blood pressure. Sample consisted of 167 adolescents (mean age = 16.2 years) who completed the Cardiovascular Health Knowledge Assessment (CHKA), a 34-item multiple choice test, at baseline and post-intervention. The CHKA was unidimensional and internal consistency was .65 at pretest and .74 at posttest. Rasch analysis results indicated that at pretest the items targeted adolescents with variable levels of health knowledge. However, based on results at posttest, additional hard items are needed to account for the increase in level of cardiovascular health knowledge at post-intervention. Change in knowledge scores was examined using Rasch analysis. Findings indicated there was significant improvement in health knowledge over time [t(119) = -10.3, p< .0001]. In summary, the CHKA appears to contain items that are good approximations of the construct cardiovascular health knowledge and items that target adolescents with moderate levels of knowledge.  DOI:10.2458/azu_jmmss_v3i1_fitzpatrick


2020 ◽  
Vol 35 (7) ◽  
pp. 1094-1108
Author(s):  
Morgan E Nitta ◽  
Brooke E Magnus ◽  
Paul S Marshall ◽  
James B Hoelzle

Abstract There are many challenges associated with assessment and diagnosis of ADHD in adulthood. Utilizing the graded response model (GRM) from item response theory (IRT), a comprehensive item-level analysis of adult ADHD rating scales in a clinical population was conducted with Barkley's Adult ADHD Rating Scale-IV, Self-Report of Current Symptoms (CSS), a self-report diagnostic checklist and a similar self-report measure quantifying retrospective report of childhood symptoms, Barkley's Adult ADHD Rating Scale-IV, Self-Report of Childhood Symptoms (BAARS-C). Differences in item functioning were also considered after identifying and excluding individuals with suspect effort. Items associated with symptoms of inattention (IA) and hyperactivity/impulsivity (H/I) are endorsed differently across the lifespan, and these data suggest that they vary in their relationship to the theoretical constructs of IA and H/I. Screening for sufficient effort did not meaningfully change item level functioning. The application IRT to direct item-to-symptom measures allows for a unique psychometric assessment of how the current DSM-5 symptoms represent latent traits of IA and H/I. Meeting a symptom threshold of five or more symptoms may be misleading. Closer attention given to specific symptoms in the context of the clinical interview and reported difficulties across domains may lead to more informed diagnosis.


2019 ◽  
Vol 45 (3) ◽  
pp. 274-296
Author(s):  
Yang Liu ◽  
Xiaojing Wang

Parametric methods, such as autoregressive models or latent growth modeling, are usually inflexible to model the dependence and nonlinear effects among the changes of latent traits whenever the time gap is irregular and the recorded time points are individually varying. Often in practice, the growth trend of latent traits is subject to certain monotone and smooth conditions. To incorporate such conditions and to alleviate the strong parametric assumption on regressing latent trajectories, a flexible nonparametric prior has been introduced to model the dynamic changes of latent traits for item response theory models over the study period. Suitable Bayesian computation schemes are developed for such analysis of the longitudinal and dichotomous item responses. Simulation studies and a real data example from educational testing have been used to illustrate our proposed methods.


2017 ◽  
Vol 118 (5) ◽  
pp. 383-391 ◽  
Author(s):  
Josh B. Kazman ◽  
Jonathan M. Scott ◽  
Patricia A. Deuster

AbstractThe limitations for self-reporting of dietary patterns are widely recognised as a major vulnerability of FFQ and the dietary screeners/scales derived from FFQ. Such instruments can yield inconsistent results to produce questionable interpretations. The present article discusses the value of psychometric approaches and standards in addressing these drawbacks for instruments used to estimate dietary habits and nutrient intake. We argue that a FFQ or screener that treats diet as a ‘latent construct’ can be optimised for both internal consistency and the value of the research results. Latent constructs, a foundation for item response theory (IRT)-based scales (e.g. Patient Reported Outcomes Measurement Information System) are typically introduced in the design stage of an instrument to elicit critical factors that cannot be observed or measured directly. We propose an iterative approach that uses such modelling to refine FFQ and similar instruments. To that end, we illustrate the benefits of psychometric modelling by using items and data from a sample of 12 370 Soldiers who completed the 2012 US Army Global Assessment Tool (GAT). We used factor analysis to build the scale incorporating five out of eleven survey items. An IRT-driven assessment of response category properties indicates likely problems in the ordering or wording of several response categories. Group comparisons, examined with differential item functioning (DIF), provided evidence of scale validity across each Army sub-population (sex, service component and officer status). Such an approach holds promise for future FFQ.


2006 ◽  
Author(s):  
Daniel A. Sass ◽  
Cindy M. Walker ◽  
Thomas A. Schmitt

2009 ◽  
Vol 30 (1) ◽  
pp. 5-15 ◽  
Author(s):  
Dennis G. Fryback ◽  
Mari Palta ◽  
Dasha Cherepanov ◽  
Daniel Bolt ◽  
Jee-Seon Kim

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