scholarly journals Psychometric Properties of Chinese Version of Work and Social Adjustment Scale for Outpatients With Common Mental Disorders: Classical Test Theory and Rasch Analysis

2021 ◽  
Vol 31 (4) ◽  
pp. 97-104
Author(s):  
Sam CS Shih ◽  
Ashley SM Chan ◽  
Eva YY Yeung ◽  
Amily MY Tsang ◽  
Rose LP Chiu ◽  
...  
2013 ◽  
Vol 20 (6) ◽  
pp. 404-411 ◽  
Author(s):  
Yun-Ling Chen ◽  
Ping-Chuan Hsiung ◽  
Lyinn Chung ◽  
Shing-Chia Chen ◽  
Ay-Woan Pan

2011 ◽  
Vol 16 (2) ◽  
pp. 177-182 ◽  
Author(s):  
Franco Franchignoni ◽  
Giorgio Ferriero ◽  
Andrea Giordano ◽  
Francesco Sartorio ◽  
Stefano Vercelli ◽  
...  

2019 ◽  
Vol 23 (4) ◽  
pp. 275-283
Author(s):  
Ling Wang ◽  
John W. Nelson

The aim of the study is to evaluate psychometric properties of the Chinese version of Caring Factor Survey-Caring of Manager (CFS-CM), which evaluated by using with classical test theory (CTT) and item response theory (IRT). CTT analyses evaluate include internal consistence reliability, test–retest reliability and construct validity. IRT analyses were conducted to test the unidimensionality, item fit, item difficulty, the reliability, and rating scale analysis. CTT showed good psychometric properties of the CFS-CM. However, IRT revealed some problems of category level. Taking the above issue into consideration, it could be beneficial to perfect the CFS-CM in the future.


2021 ◽  
pp. 156918612110323
Author(s):  
Sam Shih ◽  
Ashley Chan ◽  
Eva Yeung ◽  
Amily Tsang ◽  
Rose Chiu ◽  
...  

Background/objectives Several studies have indicated that stress is associated with common mental disorders, and work stress trebles the risk of developing them. However, a validated assessment tool for measuring and establishing psychological stress correlates in this group of clients remains unavailable. The objectives of the present study were to examine the psychometric properties of the Chinese version of the Perceived Stress Scale-10 (CPSS-10) on people with common mental disorders with different employment statuses and explore its correlates. Methods Two hundred and fifty-two participants with common mental disorders were recruited. The data were analysed through exploratory factor and confirmatory analyses to investigate construct validity. The convergent and discriminant validities were examined based on their correlation with other measures, while the internal consistency was estimated using Cronbach’s α coefficient. A t-test was used to detect differences between groups. The CPSS-10 correlates were explored using multiple linear regression analysis. Results Principal component analysis with varimax rotation yielded two factors, which accounted for 63.82% of the total variance, while confirmatory factor analysis confirmed its factor structure. The CPSS-10 had a positively moderate to strong correlation with other measures, thereby indicating its acceptable convergent and discriminant validities. The internal consistency ranged from acceptable to good for the two subscales and ten overall items, while the item-total correlation was adequate except for the seventh item. There were no group differences in gender nor employment status. Finally, the CPSS-10 predictors were studied. Conclusion The CPSS-10 is a reliable and valid instrument for people with common mental disorders with different employment statuses.


Author(s):  
David L. Streiner ◽  
Geoffrey R. Norman ◽  
John Cairney

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.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
H S Finbråten ◽  
A L Kleppang ◽  
A M Steigen

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.


Author(s):  
Reyhaneh Aminalroaya ◽  
Fatemeh Sadat Mirzadeh ◽  
Kazem Heidari ◽  
Mahtab Alizadeh-Khoei ◽  
Farshad Sharifi ◽  
...  

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.


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