Item Response Theory Analysis of the Anxiety and Mood Disorders in Clinic-Referred Children

Assessment ◽  
2016 ◽  
Vol 25 (2) ◽  
pp. 235-246
Author(s):  
Rapson Gomez ◽  
Alasdair Vance
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Logistic Model ◽  
Convergent Validity ◽  
Depressive Disorders ◽  
Factor Model ◽  
Medium Effect ◽  
Response Theory ◽  
Medium Effect Size ◽  
Two Parameter

There is evidence that the major anxiety and depressive disorders could reflect a single underlying internalization factor. For a group of 1,031 clinic-referred children, the study examined support for this factor, and used the two-parameter logistic model to examine the item response theory properties of the disorders in this factor. For the set of anxiety and depressive disorders, confirmatory factor analysis supported a one-factor model. The two-parameter logistic model analysis indicated that all the internalizing disorders in this factor were strong discriminators of the internalizing dimension. Also, they measured more of the internalizing dimension and with more precision in the upper half of the trait continuum. There was also support for the convergent validity of the internalizing dimension, in that it had large-to-medium effect size correlations with internalizing scores of other measures. The implications of the findings for clinical practice and clinical classification 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.

Item Response Theory Modeling of the Philadelphia Naming Test

2015 ◽  
Vol 58 (3) ◽  
pp. 865-877 ◽  
Author(s):  
Gerasimos Fergadiotis ◽  
Stacey Kellough ◽  
William D. Hula
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Word Length ◽  
Logistic Model ◽  
Item Difficulty ◽  
Age Of Acquisition ◽  
Response Theory ◽  
Contextual Diversity ◽  
Severity Scores ◽  
Naming Test

Purpose In this study, we investigated the fit of the Philadelphia Naming Test (PNT; Roach, Schwartz, Martin, Grewal, & Brecher, 1996) to an item-response-theory measurement model, estimated the precision of the resulting scores and item parameters, and provided a theoretical rationale for the interpretation of PNT overall scores by relating explanatory variables to item difficulty. This article describes the statistical model underlying the computer adaptive PNT presented in a companion article (Hula, Kellough, & Fergadiotis, 2015). Method Using archival data, we evaluated the fit of the PNT to 1- and 2-parameter logistic models and examined the precision of the resulting parameter estimates. We regressed the item difficulty estimates on three predictor variables: word length, age of acquisition, and contextual diversity. Results The 2-parameter logistic model demonstrated marginally better fit, but the fit of the 1-parameter logistic model was adequate. Precision was excellent for both person ability and item difficulty estimates. Word length, age of acquisition, and contextual diversity all independently contributed to variance in item difficulty. Conclusions Item-response-theory methods can be productively used to analyze and quantify anomia severity in aphasia. Regression of item difficulty on lexical variables supported the validity of the PNT and interpretation of anomia severity scores in the context of current word-finding models.

scholarly journals Improving the Measurement of Children’s Mental Health Problems in Colombia with Item Response Theory

2020 ◽  
Vol 29 (1) ◽  
pp. 87-103
Author(s):  
Jorge Cuartas
Keyword(s):  
Mental Health ◽  
Item Response Theory ◽  
Psychometric Properties ◽  
Item Response ◽  
Convergent Validity ◽  
Child Behavior Checklist ◽  
Mental Health Problems ◽  
Test Theory ◽  
Response Theory ◽  
Mental Health Scale

The present study examines the psychometric properties of the mental health scale for children used in the 2015 Colombian Mental Health Survey. To do so, a nationally representative sample of 2,727 children is used Mage=8.99; range=7-11, with reports from their main caregivers regarding 26 mental health problem symptoms taken from the Reporting Questionnaire for Children (RQC), Child Behavior Checklist (CBCL), and the Brief Screening and Diagnostic Questionnaire (CBTD). Classical test theory and factor analysis were conducted to analyze the classical location and information of each item, along with the dimensionality, reliability, and convergent validity of the scale. Item Response Theory (IRT) was used in order to estimate theoretically invariant item parameters for location and information. Findings reveal that the mental health scale for children has adequate psychometric properties for its use in Colombia. Furthermore, irt analyses reveals a set of items that maximize information and that may be used in future administrations when more efficiency is warranted.

scholarly journals Evaluation of the DSM-IV and ICD-10 criteria for depressive disorders in a community population in Japan using item response theory

2010 ◽  
Vol 19 (4) ◽  
pp. 211-222 ◽  
Author(s):  
Mari Saito ◽  
Noboru Iwata ◽  
Norito Kawakami ◽  
Yutaka Matsuyama ◽  
Yutaka Ono ◽  
...  
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Depressive Disorders ◽  
Response Theory ◽  
Community Population ◽  
Icd 10 ◽  
Dsm Iv

Item Response Theory: A Useful Test Theory for Adapted Physical Education

1991 ◽  
Vol 8 (4) ◽  
pp. 317-332 ◽  
Author(s):  
Emily Cole ◽  
Terry M. Wood ◽  
John M. Dunn
Keyword(s):  
Item Response Theory ◽  
Physical Education ◽  
Item Response ◽  
Motor Development ◽  
Logistic Model ◽  
Classical Test Theory ◽  
Test Theory ◽  
Adapted Physical Education ◽  
Psychomotor Skill ◽  
Response Theory

Tests constructed using item response theory (IRT) produce invariant item and test parameters, making it possible to construct tests and test items useful over many populations. This paper heuristically and empirically compares the utility of classical test theory (CTT) and IRT using psychomotor skill data. Data from the Test of Gross Motor Development (TGMD) (Ulrich, 1985) were used to assess the feasibility of fitting existing IRT models to dichotomously scored psychomotor skill data. As expected, CTT and IRT analyses yielded parallel interpretations of item and subtest difficulty and discrimination. However, IRT provided significant additional analysis of the error associated with estimating examinee ability. The IRT two-parameter logistic model provided a superior model fit to the one-parameter logistic model. Although both TGMD subtests estimated ability for examinees of low to average ability, the object control subtest estimated examinee ability more precisely at higher difficulty levels than the locomotor subtest. The results suggest that IRT is particularly well suited to construct tests that can meet the challenging measurement demands of adapted physical education.

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