scholarly journals A 13-item Health of the Nation Outcome Scale (HoNOS 13): Validation by Item Response Theory (IRT) in people with Substance Use Disorder

Author(s):  
Anne Chatton ◽  
Yasser Khazaal ◽  
Louise Penzenstadler

Abstract BackgroundThe Health of the Nation Outcome Scale (HoNOS) is a widely used 12-item tool to assess mental health and social functioning. The French version has an added 13th item measuring adherence to psychotropic medication. The aim of the current study is to uncover the unknown pattern of item 13 and to compare the unidimensional and multi-dimensional fit of both the original HoNOS 12 and the new HoNOS 13 using Item Response Theory (IRT) modelling. This research question was studied among inpatients with substance use disorder (SUD). MethodsSix hundred and nine valid questionnaires of the HoNOS were analyzed using the multidimensional extension of the IRT graded-response modelling. For HoNOS 13, we fitted respectively a one-factor and a two-factor model. ResultsThe two-factor model suggesting a first factor capturing psychiatric/impairment-related issues and a second factor reflecting social-related issues yielded better goodness-of-fit values compared to the one-factor solution. ConclusionsWe were able to validate the 13-item questionnaire including medication compliance and suggest that the HoNOS 13 can be recommended as a clinical evaluation tool to assess the problems and treatment needs for inpatients with SUD. In IRT analyses, the items related to substance use and item 13 showed moderate discriminative abilities to catch the severity of the latent construct whereas the items related to the second factor (social problems) showed higher discriminative abilities. Trial registrationClinicalTrials.gov, Identifier: NCT03551301, registered: 11.06.2018.

Author(s):  
Levent Kirisci ◽  
Ralph Tarter ◽  
Maureen Reynolds ◽  
Michael Vanyukov

Background. Item response theory (IRT) based studies conducted on diverse samples showed a single dominant factor for DSM-III-R and DSM-IV substance use disorder (SUD) abuse and dependence symptoms of alcohol, cannabis, sedative, cocaine, stimulants, and opiates use disorders. IRT provides the opportunity, within a person-centered framework, to accurately gauge each person’s severity of disorder that, in turn, informs required intensiveness of treatment. Objectives. The aim of this study was to determine whether the SUD symptoms indicate a unidimensional trait or instead need to be conceptualized and quantified as a multidimensional scale. Methods. The sample was composed of families of adult SUD+ men (n=349), and SUD+ women (n=173), who qualified for DSM-III-R diagnosis of substance use disorder (abuse or dependence) and families of adult men and women who did not qualify for a SUD diagnosis (SUD- men: n=190, SUD- women: n=133). An expanded version of the Structured Clinical Interview for DSM-III-R (SCID) was administered to characterize lifetime and current substance use disorders. Item response theory methodology was used to assess the dimensionality of DSM-III-R SUD abuse and dependence symptoms.Results. A bi-factor model provided the optimal representation of the factor structure of SUD symptoms in males and females. SUD symptoms are scalable as indicators of a single common factor, corresponding to general (non-drug-specific, common) liability to addiction, combined with drug-specific liabilities. Conclusions. IRT methodology used to quantify the continuous general liability to addiction (GLA) latent trait in individuals having SUD symptoms was found effective for accurately measuring SUD severity in men and women. This may be helpful for person-centered medicine approaches to effectively address intensity of treatment.


2020 ◽  
Vol 212 ◽  
pp. 108036
Author(s):  
Charlotte Kervran ◽  
Dvora Shmulewitz ◽  
Fuschia Serre ◽  
Malki Stohl ◽  
Cécile Denis ◽  
...  

2006 ◽  
Vol 31 (6) ◽  
pp. 1035-1049 ◽  
Author(s):  
Levent Kirisci ◽  
Ralph E. Tarter ◽  
Michael Vanyukov ◽  
Chris Martin ◽  
Ada Mezzich ◽  
...  

2019 ◽  
Vol 8 (4) ◽  
pp. 1
Author(s):  
Said Aldhafri ◽  
Yousef Abu Shindi

Students’ emotional intelligence represents an important variable that is connected to students’ academic achievementand life success. One main challenge when measuring students’ emotional intelligence is to have a valid and reliablemeasure that captures this emotional construct. The current study aims to investigate the psychometric properties of theArabic version of Alsmadoni emotional intelligence scale (AEIS-25) using item response theory (IRT) models. Thestudy was applied among 3030 students in grades 7-10 in Oman.Data model fit was examined through evaluating IRT assumptions (i.e. unidimensional assumption and localindependence assumption) and goodness of fit (i.e. items fit and persons fit). It was found that item parameters wereacceptable and satisfactory, which indicates the appropriateness of AEIS to examine emotional intelligence amongadolescents. Findings from exploratory factor analysis for 2924 students and for the remaining 24 items indicated thepresence of a 2-factor model since the third factor was loaded by only one item. AEIS was considered as a reliable andpotentially valid measure of trait emotional intelligence.


2016 ◽  
Vol 26 (65) ◽  
pp. 359-368
Author(s):  
Daniela Sacramento Zanini ◽  
Evandro Morais Peixoto

Abstract The study on social relationships that influence health, as well as the development of reliable measures to assess this construct has been highlighted in the academic literature. The aim of this study was to estimate new evidence of validity based on the internal structure and reliability of the MOS-SSS, as well as the parameters of items and participants by Item response theory. The sample consisted of 998 people (age: M = 27.18, SD = 9.90, 65.1% women) from different sampling strata. Confirmatory factor analysis (CFA) revealed better goodness of fit of the four-factor model when compared to factor structures shown in other Brazilian studies. The multigroup CFA demonstrated invariance of the factor model when comparing the different sampling strata. The partial credit model indicated items with mean difficulty and appropriate adjustments indices (infit/outfit) and desirable reliability for the factors. The analysis of the maps indicated the tool's strengths and limitations to assess the construct.


Author(s):  
Murtuza Shergadwala ◽  
Karthik N. Kannan ◽  
Jitesh H. Panchal

Research on expertise in design has focused primarily on understanding expert-novice differences. Although it is well established that experts perform better than novices, there is a lack of formal methods to quantify the potential impact of expertise on the quality of design outcomes. The research question addressed in this paper is: How can the impact of expertise on the quality of design solutions be quantified? Quantifying such impacts can be of particular importance in product development, recruitment processes and design competitions. We utilize an approach based on Item Response Theory (IRT) and Concept Inventories (CI) for expertise quantification. We then investigate and validate the impact of expertise on solution quality through a behavioral experiment involving a track design problem. The results highlight the usefulness of the proposed approach and provide a functional relationship between expertise and solution quality. We also observe behavioral differences between participants with varying scores on a test taken in the behavioral experiment. The proposed approach could be used in the future work to quantify learning.


Sign in / Sign up

Export Citation Format

Share Document