Developing an accurate and efficient tool for the internalizing spectrum: A simulation study of the adaptive algorithm to the Inventory of Depression and Anxiety Symptoms II (IDAS-II)

IF 2.4 3区 医学 Q2 PSYCHIATRY
M. Sanchez-Garcia, A. De la Rosa-Cáceres, G. Rossi, C. Diaz-Batanero
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引用次数: 0

Abstract

Objectives

This research simulates an adaptive version of the IDAS-II (IDAS-CAT).

Methods

2021 participants from both community (n = 1692) and patients (n = 329) samples completed the IDAS-II. Item response theory metric properties of the IDAS-II full test and the 20-items of the general depression (GD) scale were obtained. The efficiency and accuracy of different computerized adaptive algorithms were simulated. Different subsamples completed additional external measures in order to gather evidence of validity of the scores estimated with the simulated adaptive algorithms selected.

Results

Both unidimensional computerized adaptive testing algorithm selected for the GD scale and the bifactor model chosen for the full test, allow 70% reduction in the length of administration, maintaining a measurement error below 0.30 on the general and 0.50 on the specific factors. Results show high correlations of the scores estimated with the adaptive algorithms and the estimates based on the full test, as well as correlations with external criteria almost equal to those generated with the full test.

Conclusions

IDAS-CAT could be a reliable and fast tool for measuring internalizing spectrum.

为内化谱系开发准确有效的工具:抑郁和焦虑症状量表 II(IDAS-II)自适应算法模拟研究。
目标:本研究模拟了自适应版本的 IDAS-II(IDAS-CAT):方法:来自社区样本(1692 人)和患者样本(329 人)的 2021 名参与者完成了 IDAS-II。方法:来自社区(1692 人)和患者(329 人)的 2021 名参与者完成了 IDAS-II,并获得了 IDAS-II 完整测试和一般抑郁(GD)量表 20 个项目的项目反应理论度量属性。模拟了不同计算机自适应算法的效率和准确性。不同的子样本完成了额外的外部测量,以收集所选模拟自适应算法估算分数的有效性证据:为广东量表选择的单维度计算机自适应测试算法和为全面测试选择的双因素模型都可以将施测时间缩短 70%,并将一般因素和特殊因素的测量误差保持在 0.30 和 0.50 以下。结果表明,采用自适应算法估算的分数与根据完整测试估算的分数具有很高的相关性,与外部标准的相关性几乎与完整测试产生的相关性相同:结论:IDAS-CAT 可以作为测量内化谱系的可靠而快速的工具。
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来源期刊
CiteScore
5.20
自引率
6.50%
发文量
48
审稿时长
>12 weeks
期刊介绍: The International Journal of Methods in Psychiatric Research (MPR) publishes high-standard original research of a technical, methodological, experimental and clinical nature, contributing to the theory, methodology, practice and evaluation of mental and behavioural disorders. The journal targets in particular detailed methodological and design papers from major national and international multicentre studies. There is a close working relationship with the US National Institute of Mental Health, the World Health Organisation (WHO) Diagnostic Instruments Committees, as well as several other European and international organisations. MPR aims to publish rapidly articles of highest methodological quality in such areas as epidemiology, biostatistics, generics, psychopharmacology, psychology and the neurosciences. Articles informing about innovative and critical methodological, statistical and clinical issues, including nosology, can be submitted as regular papers and brief reports. Reviews are only occasionally accepted. MPR seeks to monitor, discuss, influence and improve the standards of mental health and behavioral neuroscience research by providing a platform for rapid publication of outstanding contributions. As a quarterly journal MPR is a major source of information and ideas and is an important medium for students, clinicians and researchers in psychiatry, clinical psychology, epidemiology and the allied disciplines in the mental health field.
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