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使用拉施克量表模型对苯二氮䓬类药物依赖自陈问卷进行潜在特质标准化。

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

作者信息

Kan C C, van der Ven A H, Breteler M H, Zitman F G

机构信息

Department of Psychiatry, University Hospital Nijmegen, 6500 HB Nijmegen, The Netherlands.

出版信息

Compr Psychiatry. 2001 Sep-Oct;42(5):424-32. doi: 10.1053/comp.2001.26276.

Abstract

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.

摘要

本研究的目的是获得与苯二氮䓬类药物依赖自评问卷(Bendep-SRQ)四个Rasch量表原始分数相对应的标准化分数。Bendep-SRQ量表标准化的合格常模群体由217名全科医疗(GP)患者组成,他们均使用苯二氮䓬类药物。使用并比较了两种标准化方法:“经典标准化”,即将原始分数转换为单位正态分布上的标准分数;以及“潜在特质标准化”,即将原始分数转换为潜在特质分数。后者需要Rasch模型,并额外假设潜在特质呈正态分布,这一假设对于“问题使用”“依从性缺乏”和“戒断”量表成立,但对于“专注”量表不成立。据推测,“专注”量表上观察到的项目间距不均会引发非偏差的反应倾向,从而导致局部违反潜在特质呈正态分布的假设。然而,两种标准化方法结果的比较显示出高度的相似性,以至于潜在特质标准化可与经典标准化一样用于“专注”量表。所呈现的标准分数和相应的百分等级使Bendep-SRQ原始分数在临床层面相对于全科医疗常模样本具有可解释性。将Rasch量表法纳入Bendep-SRQ的编制标志着在应用测试方法领域采用了项目反应理论。在这个过程中,似乎必须考虑项目间距相等,以防止在额外假设潜在特质呈正态分布的情况下局部违反Rasch模型。

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