Establishing conversion of the 16‐item Informant Questionnaire on Cognitive Decline in the Elderly scores into interval‐level data across multiple samples using Rasch methodology

Author:

Truong Quoc Cuong1ORCID,Numbers Katya2,Choo Carol C.3,Bentvelzen Adam C.2,Catts Vibeke S.2,Cervin Matti4,Jorm Anthony F.5,Kochan Nicole A.2,Brodaty Henry2,Sachdev Perminder S.2,Medvedev Oleg N.1

Affiliation:

1. School of Psychology University of Waikato Hamilton New Zealand

2. Centre for Healthy Brain Ageing (CHeBA) University of New South Wales Sydney New South Wales Australia

3. College of Healthcare Sciences James Cook University Townsville Queensland Australia

4. Department of Clinical Sciences Lund, Child and Adolescent Psychiatry, Faculty of Medicine Lund University Lund Sweden

5. Centre for Mental Health, Melbourne School of Population and Global Health University of Melbourne Melbourne Victoria Australia

Abstract

BackgroundThe 16‐item Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE‐16) is a well‐validated and widely‐used measure of cognitive changes (CCs) among older adults. This study aimed to use Rasch methodology to establish psychometric properties of the IQCODE‐16 and validate the existing ordinal‐to‐interval transformation algorithms across multiple large samples.MethodsA Partial Credit Rasch model was employed to examine psychometric properties of the IQCODE‐16 using data (n = 918) from two longitudinal studies of participants aged 57–99 years: the Older Australian Twins Study (n = 450) and the Canberra Longitudinal Study (n = 468), and reusing the Sydney Memory and Ageing Study (MAS) sample (n = 400).ResultsInitial analyses indicated good reliability for the IQCODE‐16 (Person Separation Index range: 0.82–0.90). However, local dependency was identified between items, with several items showing misfit to the model. Replicating the existing Rasch solution could not reproduce the best Rasch model fit for all samples. Combining locally dependent items into three testlets resolved all misfit and local dependency issues and resulted in the best Rasch model fit for all samples with evidence of unidimensionality, strong reliability, and invariance across person factors. Accordingly, new ordinal‐to‐interval transformation algorithms were produced to convert the IQCODE‐16 ordinal scores into interval data to improve the accuracy of its scores.ConclusionsThe findings of this study support the reliability and validity of the IQCODE‐16 in measuring CCs among older adults. New ordinal‐to‐interval conversion tables generated using samples from multiple independent datasets are more generalizable and can be used to enhance the precision of the IQCODE‐16 without changing its original format. An easy‐to‐use converter has been made available for clinical and research use.

Publisher

Wiley

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Gerontology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3