Graded response item response theory in scaling suicidal thoughts and behaviors among trauma-exposed women with substance use disorders.

2021 ◽  
Author(s):  
Skye S. Fitzpatrick ◽  
Antonio A. Morgan-López ◽  
Tanya C. Saraiya ◽  
Sudie E. Back ◽  
Therese K. Killeen ◽  
...  
Keyword(s):  
Substance Use ◽  
Item Response Theory ◽  
Item Response ◽  
Substance Use Disorders ◽  
Response Theory ◽  
Suicidal Thoughts ◽  
Response Item ◽  
Graded Response ◽  
And Behaviors ◽  
Suicidal Thoughts And Behaviors

The association between violence and lifetime suicidal thoughts and behaviors in individuals treated for substance use disorders

2010 ◽  
Vol 35 (2) ◽  
pp. 111-115 ◽  
Author(s):  
Mark A. Ilgen ◽  
Mandi L. Burnette ◽  
Kenneth R. Conner ◽  
Ewa Czyz ◽  
Regan Murray ◽  
...  
Keyword(s):  
Substance Use ◽  
Substance Use Disorders ◽  
Suicidal Thoughts ◽  
And Behaviors ◽  
Suicidal Thoughts And Behaviors

scholarly journals A Multidimensional Item Response Theory Model for Continuous and Graded Responses With Error in Persons and Items

2021 ◽  
pp. 001316442199841
Author(s):  
Pere J. Ferrando ◽  
David Navarro-González
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Theory Model ◽  
Response Model ◽  
Response Theory ◽  
Continuous Response ◽  
Graded Responses ◽  
Graded Response ◽  
Continuous Responses ◽  
Differential Measurement Error

Item response theory “dual” models (DMs) in which both items and individuals are viewed as sources of differential measurement error so far have been proposed only for unidimensional measures. This article proposes two multidimensional extensions of existing DMs: the M-DTCRM (dual Thurstonian continuous response model), intended for (approximately) continuous responses, and the M-DTGRM (dual Thurstonian graded response model), intended for ordered-categorical responses (including binary). A rationale for the extension to the multiple-content-dimensions case, which is based on the concept of the multidimensional location index, is first proposed and discussed. Then, the models are described using both the factor-analytic and the item response theory parameterizations. Procedures for (a) calibrating the items, (b) scoring individuals, (c) assessing model appropriateness, and (d) assessing measurement precision are finally discussed. The simulation results suggest that the proposal is quite feasible, and an illustrative example based on personality data is also provided. The proposals are submitted to be of particular interest for the case of multidimensional questionnaires in which the number of items per scale would not be enough for arriving at stable estimates if the existing unidimensional DMs were fitted on a separate-scale basis.

Using Item Response Theory Models to Evaluate the Practice Environment Scale

2014 ◽  
Vol 22 (2) ◽  
pp. 323-341 ◽  
Author(s):  
Dheeraj Raju ◽  
Xiaogang Su ◽  
Patricia A. Patrician
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Information Criterion ◽  
Partial Credit Model ◽  
Practice Environment ◽  
Partial Credit ◽  
Response Theory ◽  
Environment Scale ◽  
Graded Response ◽  
Item Response Theory Models

Background and Purpose: The purpose of this article is to introduce different types of item response theory models and to demonstrate their usefulness by evaluating the Practice Environment Scale. Methods: Item response theory models such as constrained and unconstrained graded response model, partial credit model, Rasch model, and one-parameter logistic model are demonstrated. The Akaike information criterion (AIC) and Bayesian information criterion (BIC) indices are used as model selection criterion. Results: The unconstrained graded response and partial credit models indicated the best fit for the data. Almost all items in the instrument performed well. Conclusions: Although most of the items strongly measure the construct, there are a few items that could be eliminated without substantially altering the instrument. The analysis revealed that the instrument may function differently when administered to different unit types.

scholarly journals Item Response Theory Analysis of ADHD Symptoms in Children With and Without ADHD

Assessment ◽  
2016 ◽  
Vol 23 (6) ◽  
pp. 655-671 ◽  
Author(s):  
James J. Li ◽  
Steven P. Reise ◽  
Andrea Chronis-Tuscano ◽  
Amori Yee Mikami ◽  
Steve S. Lee
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Latent Trait ◽  
Dimensional Structure ◽  
Adhd Symptoms ◽  
Response Theory ◽  
Confirmatory Factor Analyses ◽  
Item Response Theory Analysis ◽  
Graded Response ◽  
Moderate Range

Item response theory (IRT) was separately applied to parent- and teacher-rated symptoms of attention-deficit/hyperactivity disorder (ADHD) from a pooled sample of 526 six- to twelve-year-old children with and without ADHD. The dimensional structure ADHD was first examined using confirmatory factor analyses, including the bifactor model. A general ADHD factor and two group factors, representing inattentive and hyperactive/impulsive dimensions, optimally fit the data. Using the graded response model, we estimated discrimination and location parameters and information functions for all 18 symptoms of ADHD. Parent- and teacher-rated symptoms demonstrated adequate discrimination and location values, although these estimates varied substantially. For parent ratings, the test information curve peaked between −2 and +2 SD, suggesting that ADHD symptoms exhibited excellent overall reliability at measuring children in the low to moderate range of the general ADHD factor, but not in the extreme ranges. Similar results emerged for teacher ratings, in which the peak range of measurement precision was from −1.40 to 1.90 SD. Several symptoms were comparatively more informative than others; for example, is often easily distracted (“Distracted”) was the most informative parent- and teacher-rated symptom across the latent trait continuum. Clinical implications for the assessment of ADHD as well as relevant considerations for future revisions to diagnostic criteria are discussed.

Item Response Theory Analysis to Assess Dimensionality of Substance Use Disorder Abuse and Dependence Symptoms

2017 ◽  
Vol 6 (4) ◽  
Author(s):  
Levent Kirisci ◽  
Ralph Tarter ◽  
Maureen Reynolds ◽  
Michael Vanyukov
Keyword(s):  
Substance Use ◽  
Item Response Theory ◽  
Item Response ◽  
Substance Use Disorder ◽  
Factor Model ◽  
Common Factor ◽  
Latent Trait ◽  
Dominant Factor ◽  
Response Theory ◽  
Men And Women

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.

An Alternative Analysis of Scale Data: A Marketing Application

2016 ◽  
Vol 18 (1) ◽  
pp. 163-180
Author(s):  
Pooja Sengupta ◽  
Himadri Roy Chaudhuri
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Well Being ◽  
Subjective Well Being ◽  
Response Theory ◽  
Alternative Analysis ◽  
Psychological Measures ◽  
Marketing Application ◽  
Graded Response ◽  
Development Evaluation

The idea of materialism is one of the most important in modern consumer behaviour literature. In this article we have attempted at studying this component using the celebrated Richins and Dawson (1992) scale, where the required data has been collected using the standard instrument. This data is analyzed with the help of the mechanisms of item response theory (IRT). Specifically the graded response model has been used to analyze and get an insight into the problem of subjective well-being. Item response theory is an increasingly popular approach for development, evaluation and administration of psychological measures. We have used in this article one of the three IRT fundamentals, namely, the item response functions. We next illustrate how IRT modelling can be put to use to analyze the data collected in the study of the judgement component of subjective well-being. To that end, we have used the grm() function available in R. The results obtained are thereafter interpreted.

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