A n evaluation of D SM‐III‐ R benzodiazepine dependence criteria Rasch m odelling and IC D‐10 using

The psychometric structure of the Stanford Hypnotic Susceptibility Scale, Form C (SHSS:C) was tested in a Rasch analysis using data from 279 subjects. The Rasch model is the model of choice because it justifies the use of the sum of the item scores as a measure for the underlying construct. Rasch analysis revealed that use of a single sum score (number of suggestions passed) to express hypnotic ability is not sufficiently justified. However, the omission of the mosquito-hallucination and anosmia items (Items 3 and 9) rendered this short 10-item form of the SHSS:C sufficiently compatible with requirements of one-dimensionality, local stochastic independence,and equi-discriminability. Hence, the 10-item form justifies use of a sum score.

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“…The Rasch model can be derived from the following assumptions (Fischer, 1974;Kan, Breteler, Van der Ven, & Zitman, 1998). …”

Section: Item Scalabilitymentioning

confidence: 99%

A Rasch Analysis of the Stanford Hypnotic Susceptibility Scale, Form C

Näring

Hoogduin

Keijser

2004

International Journal of Clinical and Experimental Hypnosis

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“…Among these are the invariance of measurement, error in measurement per item (not for the entire instrument, as in the CTT), knowing the position of each item on the continuum, and finding the most probable response to each item for a person with a given severity of dependence (Bezruczko, 2005;Conrad and Smith, 2004;McHorney and Monahan, 2004;Prieto, Alonso, and Lamarca, 2003). Some of the studies performed in drug addiction have used these models to analyze the dimensionality of a nicotine dependency scale (Breteler, Hilberink, Zeeman, and Lammers, 2004), the uniformity of substance dependence syndrome elements based on the criteria in the DSM-III-R and ICD-10 (Kan, Breteler, van der Ven, and Zitman, 1998) and discrimination of items on an alcohol dependence scale (Kahler, Strong, Hayaki, Ramsey, and Brown, 2003). The purpose of this work was to apply an IRT model, and more specifically, the Rating Scale Model, which is a polytomous model, derived from Rasch Model, to contribute evidence of the validity of the SDS construct.…”

Section: Introductionmentioning

confidence: 99%

Validity of the Severity of Dependence Scale (SDS) Construct Applying the Item Response Theory to a Non-Clinical Sample of Heroin Users

González‐Sáiz

Lozano

Ballesta

et al. 2008

Substance Use & Misuse

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“…The assumptions from which the Rasch model can be derived 5 and the required additive structure underlying the observed data, have been recapitulated in previous reports. 1,6 In essence, while the item responses depend on the respective underlying probabilities in a random way, the response probabilities themselves depend in a deterministic way on the subject and item scale values. According to the Rasch model, both subjects and items can be arrayed on a common unidimensional scale and the items have equal discriminative power (i.e.…”

Section: Conventional Rasch Analysismentioning

confidence: 99%

Latent trait standardization of the benzodiazepine dependence self-report questionnaire using the Rasch scaling model

Kan

Ven

Breteler

et al. 2001

Comprehensive Psychiatry

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The aim of the present study was to obtain standardized scores that correspond with the raw scores on the four Rasch scales of the Benzodiazepine Dependence-Self Report Questionnaire (Bendep-SRQ). The eligible normative group for standardization of the Bendep-SRQ scales consisted of 217 general practice (GP) patients, all using benzodiazepines. Two standardization methods were used and compared: "classical standardization," which transforms raw scores into standard scores on the unit normal distribution, and "latent trait standardization," which transforms raw scores into latent trait scores. The latter requires the Rasch model with the additional assumption of a normally distributed latent trait, which held true for the scales "problematic use," "lack of compliance," and "withdrawal," but not for "preoccupation." The observed unequal item spacing on the "preoccupation" scale was hypothesized to induce a response tendency of nondeviation, causing a local violation of the assumption of a normally distributed latent trait. Nevertheless, comparison of the results of the two standardization methods revealed such a high degree of resemblance, that latent trait standardization could be used for "preoccupation" just as well as classical standardization. The presented standard scores and corresponding percentile ranks make raw Bendep-SRQ scores clinically interpretable in relation to the normative GP sample. Incorporation of the Rasch scaling methodology into the development of the Bendep-SRQ marks the adoption of the item response theory in the field of applied test methodology. In this process, it appears that equal item spacing has to be taken into account to prevent local violations of the Rasch model with the additional assumption of a normally distributed latent trait.

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A n evaluation of D SM‐III‐ R benzodiazepine dependence criteria Rasch m odelling and IC D‐10 using

Cited by 24 publications

References 36 publications

A Rasch Analysis of the Stanford Hypnotic Susceptibility Scale, Form C

A Rasch Analysis of the Stanford Hypnotic Susceptibility Scale, Form C

Validity of the Severity of Dependence Scale (SDS) Construct Applying the Item Response Theory to a Non-Clinical Sample of Heroin Users

Latent trait standardization of the benzodiazepine dependence self-report questionnaire using the Rasch scaling model

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