Evidence map›Paper›PMID 31808226›Full record

ArticleInternational journal of methods in psychiatric research2020

A diagnostic classification version of Schizotypal Personality Questionnaire using diagnostic classification models.

Chongqin Xi, Yan Cai, Siwei Peng, Jie Lian, Dongbo Tu

Abstract read
In one paragraph

Article in International journal of methods in psychiatric research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. A general diagnostic modelling framework for forced-choice assessments.The British journal of mathematical and statistical psychology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chongqin XiSchool of Psychology, Jiangxi Normal University, Nanchang, China.ORCID 0000-0002-1811-2946
Yan CaiSchool of Psychology, Jiangxi Normal University, Nanchang, China.
Siwei PengSchool of Psychology, Jiangxi Normal University, Nanchang, China.
Jie LianSchool of Psychology, Jiangxi Normal University, Nanchang, China.
Dongbo TuSchool of Psychology, Jiangxi Normal University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo obtain more precise and rich information from the measurements for schizotypal personality disorder (SPD), a cutting-edge psychometric theory called diagnostic classification models (DCMs) was first employed in the present study to develop a diagnostic classification version of the Schizotypal Personality Questionnaire (DC-SPQ) based on the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders.

methodsUnder the framework of DCMs, 980 college students were recruited to calibrate item parameters of the Schizotypal Personality Questionnaire. Items that fit the psychometric characteristic would be selected to compose the DC-SPQ, prior to an analysis of its indexes.

resultsResults showed that the DC-SPQ had high reliability and validity in both the classical test theory and DCMs, in addition to showing a sensitivity of 0.921 and a specificity of 0.841 with area under receiver operating characteristic curve = 0.936. Meanwhile, the four-factor model proposed adequately fits with the data. More importantly, the DC-SPQ provides not only the general-level information similar to traditional questionnaires but also the symptom-level information with the posterior probability, which provides an insight into delivering the individual-specific intervention that is tailor made to schizotypal personality disorder.

conclusionsThis study demonstrates that the DC-SPQ is very valuable for psychometric detection in that it can clarify the symptom being measured and provide more reasonable estimates.

Indexed as

AdolescentAdultDiagnostic and Statistical Manual of Mental DisordersFemaleHumansMalePersonality InventoryPsychiatric Status Rating ScalesPsychometricsReproducibility of ResultsSchizotypal Personality DisorderSensitivity and SpecificityYoung Adultdiagnostic classification models (DCMs)G-DINA modelschizotypal personality disorder (SPD)Schizotypal Personality Questionnaire (SPQ)symptom criteria-level information

Identifiers

PMID31808226
PMCPMC7051843

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.