Can an item response theory-based pain item bank enhance measurement precision?

2003 ◽  
Vol 25 ◽  
pp. D34-D36 ◽  
Author(s):  
Jin-she Lai ◽  
Kelly Dineen ◽  
David Cella ◽  
Jamie von Roenn
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Measurement Precision ◽  
Item Bank ◽  
Response Theory

scholarly journals An Item Response Theory-Based Pain Item Bank Can Enhance Measurement Precision

2005 ◽  
Vol 30 (3) ◽  
pp. 278-288 ◽  
Author(s):  
Jin-shei Lai ◽  
Kelly Dineen ◽  
Bryce B. Reeve ◽  
Jamie Von Roenn ◽  
Daniel Shervin ◽  
...  
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Measurement Precision ◽  
Item Bank ◽  
Response Theory

scholarly journals An item response theory analysis of an item pool for the recovering quality of life (ReQoL) measure

2020 ◽  
Author(s):  
Anju Devianee Keetharuth ◽  
Jakob Bue Bjorner ◽  
Michael Barkham ◽  
John Browne ◽  
Tim Croudace ◽  
...  
Keyword(s):  
Mental Health ◽  
Item Response Theory ◽  
Item Response ◽  
Measurement Precision ◽  
Model Parameters ◽  
Item Pool ◽  
Response Theory ◽  
Differential Item Function ◽  
Wide Range ◽  
Internal Construct Validity

Abstract Purpose ReQoL-10 and ReQoL-20 have been developed for use as outcome measures with individuals aged 16 and over, experiencing mental health difficulties. This paper reports modelling results from the item response theory (IRT) analyses that were used for item reduction. Methods From several stages of preparatory work including focus groups and a previous psychometric survey, a pool of items was developed. After confirming that the ReQoL item pool was sufficiently unidimensional for scoring, IRT model parameters were estimated using Samejima’s Graded Response Model (GRM). All 39 mental health items were evaluated with respect to item fit and differential item function regarding age, gender, ethnicity, and diagnosis. Scales were evaluated regarding overall measurement precision and known-groups validity (by care setting type and self-rating of overall mental health). Results The study recruited 4266 participants with a wide range of mental health diagnoses from multiple settings. The IRT parameters demonstrated excellent coverage of the latent construct with the centres of item information functions ranging from − 0.98 to 0.21 and with discrimination slope parameters from 1.4 to 3.6. We identified only two poorly fitting items and no evidence of differential item functioning of concern. Scales showed excellent measurement precision and known-groups validity. Conclusion The results from the IRT analyses confirm the robust structure properties and internal construct validity of the ReQoL instruments. The strong psychometric evidence generated guided item selection for the final versions of the ReQoL measures.

scholarly journals PROMIS Pediatric Pain Interference Scale: An Item Response Theory Analysis of the Pediatric Pain Item Bank

2010 ◽  
Vol 11 (11) ◽  
pp. 1109-1119 ◽  
Author(s):  
James W. Varni ◽  
Brian D. Stucky ◽  
David Thissen ◽  
Esi Morgan DeWitt ◽  
Debra E. Irwin ◽  
...  
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Item Bank ◽  
Pain Interference ◽  
Pediatric Pain ◽  
Response Theory ◽  
Theory Analysis ◽  
Item Response Theory Analysis

scholarly journals A study of the dimensionality and measurement precision of the SCL-90-R using item response theory

2011 ◽  
Vol 20 (3) ◽  
pp. e39-e55 ◽  
Author(s):  
Muirne C. S. Paap ◽  
Rob R. Meijer ◽  
Jan Van Bebber ◽  
Geir Pedersen ◽  
Sigmund Karterud ◽  
...  
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Measurement Precision ◽  
Response Theory

scholarly journals Two parallel short forms to measure disease- and treatment-associated knowledge in rheumatoid arthritis: application of item response theory

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Marieke J Spijk-de Jonge ◽  
Martijn A H Oude Voshaar ◽  
Lisanne Renskers ◽  
Anita M P Huis ◽  
Mart A F J van de Laar ◽  
...  
Keyword(s):  
Item Response Theory ◽  
Educational Attainment ◽  
Psychometric Properties ◽  
Item Response ◽  
Short Form ◽  
Item Bank ◽  
T Test ◽  
Response Theory ◽  
Short Forms ◽  
Paired T Test

Abstract Objective The aim was to develop two disease- and treatment-related knowledge about RA (DataK-RA) short forms using item response theory-based linear optimal test design. Methods We used the open source Excel add-in solver to program a linear optimization algorithm to develop two short forms from the DataK-RA item bank. The algorithm was instructed to optimize precision (i.e. reliability) of the scores for both short forms, subject to a number of constraints that served to ensure that each short form would include unique items and that the short forms would have similar psychometric properties. Agreement among item response theory scores obtained from the different short forms was assessed using the Bland–Altman method and Student’s paired t-test. Construct validity and relative efficiency of the short forms was evaluated by relating the score to age, sex and educational attainment. Results Two short forms were derived from the DataK-RA item bank that satisfied all content constraints. Both short forms included 15 unique items and yielded reliable scores (r > 0.70), with low ceiling and floor effects. The short forms yielded statistically indistinguishable mean scores according to Student’s paired t-test and Bland–Altman analysis. Scores on short forms 1 and 2 were associated with age, sex and educational attainment to a similar extent. Conclusion In this study, we developed two DataK-RA short forms with unique items, yet similar psychometric properties, that can be used to assess patients pre- and post-test interventions aimed at improving disease-related knowledge in RA patients.

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