Psychometric properties of QuickDASH – A classical test theory and Rasch analysis study

2011 ◽  
Vol 16 (2) ◽  
pp. 177-182 ◽  
Author(s):  
Franco Franchignoni ◽  
Giorgio Ferriero ◽  
Andrea Giordano ◽  
Francesco Sartorio ◽  
Stefano Vercelli ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Rasch Analysis ◽  
Classical Test Theory ◽  
Test Theory ◽  
Analysis Study ◽  
Classical Test

Psychometric properties of the Mastery Scale-Chinese version: Applying classical test theory and Rasch analysis

2013 ◽  
Vol 20 (6) ◽  
pp. 404-411 ◽  
Author(s):  
Yun-Ling Chen ◽  
Ping-Chuan Hsiung ◽  
Lyinn Chung ◽  
Shing-Chia Chen ◽  
Ay-Woan Pan
Keyword(s):  
Psychometric Properties ◽  
Rasch Analysis ◽  
Classical Test Theory ◽  
Chinese Version ◽  
Test Theory ◽  
Classical Test

Item response theory

2015 ◽  
Author(s):  
David L. Streiner ◽  
Geoffrey R. Norman ◽  
John Cairney
Keyword(s):  
Item Response Theory ◽  
Psychometric Properties ◽  
Item Response ◽  
Traditional Approach ◽  
Classical Test Theory ◽  
Test Theory ◽  
Response Theory ◽  
Advantages And Disadvantages ◽  
The Past ◽  
Classical Test

Over the past few decades, there has been a revolution in the approach to scale development. Called item response theory (IRT), this approach challenges the notion that scales must be long in order to be reliable, and that psychometric properties of a scale derived from one group of people cannot be applied to different groups. This chapter provides an introduction to IRT, and discusses how it can be used to develop scales and to shorten existing scales that have been developed using the more traditional approach of classical test theory. IRT also can result in scales that have interval-level properties, unlike those derived from classical test theory. Further, it allows people to be compared to one another, even though they may have completed different items, allowing for computer-adapted testing. The chapter concludes by discussing the advantages and disadvantages of IRT.

scholarly journals The necessity of applying Rasch measurement theory in questionnaire-based public health research

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
H S Finbråten ◽  
A L Kleppang ◽  
A M Steigen
Keyword(s):  
Public Health ◽  
Psychometric Properties ◽  
Health Research ◽  
Measurement Theory ◽  
Classical Test Theory ◽  
Public Health Research ◽  
Rasch Measurement ◽  
Test Theory ◽  
Rasch Measurement Theory ◽  
Classical Test

Abstract Background Questionnaires are frequently used in public health research. In order to provide valid and reliable results to generate recommendations for practice and policies, scales with sound psychometric properties are required. Classical test theory such as factor analysis is most frequently used to assess the psychometric properties of scales. However, classical test theory may have limitations in confirming the validity of scales. Only Rasch measurement theory meet the requirements of fundamental measurement, such as additivity, invariance, sufficiency and specific objectivity. The objective is to exemplify how Rasch measurement theory can be used to evaluate the psychometric properties of a scale. Validation of the Hopkins Symptom Checklist-10 is used as an example. Methods This study is based on cross-sectional data from the Youth Data Survey. In total, 6777 adolescents responded to a web-based questionnaire. Data collection was carried out in lower and upper secondary schools in Norway during 2018. The data were analysed using the partial credit parameterization of the unidimensional Rasch model. Results Preliminary results indicated that the scale had acceptable reliability (person separation index: 0.82). However, one pair of items shows response dependence. The targeting could have been better (mean person location: -1.445). All items had ordered thresholds. Three items under-discriminated. Several items displayed differential item functioning with regard to gender and school level. Conclusions Applying Rasch measurement theory measurement problems that would go undetected using classical test theory approaches were observed. Scales used in public health research should be thoroughly validated applying Rasch measurement theory before the data are used to support claims about public health and used to provide recommendations for policy and practice. Key messages Public health practice and policy should be based on information from valid and reliable scales. Rasch measurement theory should be used to evaluate psychometric properties of scales used in public health research.

The Validation Study of Both the Modified Barthel and Barthel Index, and Their Comparison Based on Rasch Analysis in the Hospitalized Acute Stroke Elderly

2020 ◽  
pp. 009141502098177
Author(s):  
Reyhaneh Aminalroaya ◽  
Fatemeh Sadat Mirzadeh ◽  
Kazem Heidari ◽  
Mahtab Alizadeh-Khoei ◽  
Farshad Sharifi ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Validation Study ◽  
Barthel Index ◽  
Rasch Analysis ◽  
Item Difficulty ◽  
Classical Test Theory ◽  
Test Theory ◽  
Stair Climbing ◽  
Theory Approach ◽  
Classical Test

A validation study the Iranian Modified Barthel Index (MBI) in hospitalized acute stroke elderly by classical test theory approach and investigate Rasch analysis for both Iranian version MBI and BI and compare the hierarchical item difficulty of them. Face-to-face interview with 100 geriatric stroke inpatients 60+ or their caregivers was done in a cross-sectional study. First, construct validity of MBI analyzed by the classical test theory, then Rasch analysis were done for BI and MBI. The reliability of the Iranian MBI was significant at 0.955. One factor achieved by the variance of 83.2%. In Rasch analysis for MBI, the most difficult item was stair climbing, whereas the simplest items were bowel and bladder control. In BI, the most difficult items were toilet use and ambulation. The Iranian MBI is very accurate and reliable; therefore the use of MBI to measure better outcomes in stroke elderly inpatients is recommended comparing with BI.

scholarly journals Advanced psychometric testing on a clinical screening tool to evaluate insomnia: sleep condition indicator in patients with advanced cancer

2020 ◽  
Vol 18 (4) ◽  
pp. 343-349
Author(s):  
Chung-Ying Lin ◽  
Andy S. K. Cheng ◽  
Vida Imani ◽  
Mohsen Saffari ◽  
Maurice M. Ohayon ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Advanced Cancer ◽  
Roc Curve ◽  
Classical Test Theory ◽  
Test Theory ◽  
Operating Characteristics ◽  
Classical Test ◽  
Edmonton Symptom Assessment Scale ◽  
Sleep Condition ◽  
Condition Indicator

Abstract Purpose To examine the psychometric properties of the Sleep Condition Indicator (SCI) using different psychometric approaches [including classical test theory, Rasch models, and receiver operating characteristics (ROC) curve] among patients with advanced cancer. Methods Through convenience sampling, patients with cancer at stage III or IV (n = 859; 511 males; mean ± SD age = 67.4 ± 7.5 years) were recruited from several oncology units of university hospitals in Iran. All the participants completed the SCI, Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Hospital Anxiety and Depression Scale (HADS), General Health Questionnaire (GHQ), and Edmonton Symptom Assessment Scale (ESAS). In addition, 491 participants wore an actigraph device to capture objective sleep. Results Classical test theory [factor loadings from confirmatory factor analysis = 0.76–0.89; test–retest reliability = 0.80–0.93] and Rasch analysis [infit mean square (MnSq) = 0.63–1.31; outfit MnSq = 0.61–1.23] both support the construct validity of the SCI. The SCI had significant associations with ISI, PSQI, ESS, HADS, GHQ, and ESAS. In addition, the SCI has satisfactory area under ROC curve (0.92) when comparing a gold standard of insomnia diagnosis. Significant differences in the actigraphy measure were found between insomniacs and non-insomniacs based on the SCI score defined by ROC. Conclusion With the promising psychometric properties shown in the SCI, healthcare providers can use this simple assessment tool to target the patients with advanced cancer who are at risk of insomnia and subsequently provide personalized care efficiently.

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