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利用拉什模型提高认知状态电话访谈修正版(TICS-M)的精准度。

Enhancing precision of the Telephone Interview for Cognitive Status-Modified (TICS-M) using the Rasch model.

机构信息

School of Psychology, University of Waikato.

College of Healthcare Sciences, James Cook University.

出版信息

Psychol Assess. 2023 Jul;35(7):559-571. doi: 10.1037/pas0001233. Epub 2023 May 25.

Abstract

The Telephone Interview for Cognitive Status-modified (TICS-M) is a well-established and widely used screening instrument for dementia and assessment of global cognitive function in older people. This study aimed to evaluate the psychometric properties of the TICS-M and to enhance the accuracy of the instrument using Rasch methodology. Partial Credit Rasch model was applied to the TICS-M scores. The sample selected for Rasch analysis consisted of 432 participants aged 70-90 years ( = 78.85, = 4.73) including 195 males (237 females), and 132 (30.56%) of whom were diagnosed with dementia after the baseline assessment. Initial analysis indicated good reliability of the TICS-M assessment scores, but there were three misfitting items and local dependency issues. Combining locally dependent and misfitting items into super-items achieved the best Rasch model fit for the TICS-M. This modification improved reliability of the assessment scores and resulted in no misfitting items, no local dependency, strict unidimensionality, and invariance across individual factors such as participants age, sex, diagnosis, and in-person neuropsychological assessment scores. Satisfying Rasch model expectations allowed for creation of a transformation table to convert raw TICS-M scores into interval-level data, which improves precision of the instrument. In summary, the TICS-M assessment scores demonstrated excellent reliability as reflected by Person Separation Index (PSI = 0.86) and met expectations of the unidimensional Rasch model after minor adjustments. The ordinal-to-interval transformation table can be used to increase accuracy of the TICS-M without altering its current format. These findings contribute to more accurate assessments of cognitive decline in older people and screening for conditions such as dementia. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

摘要

电话认知状态测试修订版(TICS-M)是一种广泛使用的成熟认知障碍筛查工具,可用于评估老年人的整体认知功能。本研究旨在评估 TICS-M 的心理测量特性,并使用 Rasch 方法提高该工具的准确性。采用部分信用 Rasch 模型对 TICS-M 评分进行分析。用于 Rasch 分析的样本包括 432 名年龄在 70-90 岁的参与者(=78.85,=4.73),其中 195 名男性(237 名女性),132 名(30.56%)参与者在基线评估后被诊断为痴呆症。初步分析表明 TICS-M 评估分数具有良好的可靠性,但有 3 个不拟合项目和局部依赖问题。将局部依赖和不拟合项目组合成超级项目,使 TICS-M 的 Rasch 模型拟合度达到最佳。这种修改提高了评估分数的可靠性,并且没有不拟合项目,没有局部依赖,严格的单维性,以及在个体因素(如参与者年龄、性别、诊断和现场神经心理评估分数)方面的不变性。满足 Rasch 模型期望允许创建一个转换表,将原始 TICS-M 分数转换为区间水平数据,从而提高仪器的精度。总之,TICS-M 评估分数的个体分离指数(PSI=0.86)反映出极好的可靠性,并在进行了一些小的调整后满足了单维 Rasch 模型的期望。有序到区间的转换表可以提高 TICS-M 的准确性,而不会改变其当前格式。这些发现有助于更准确地评估老年人的认知能力下降,并筛选痴呆症等疾病。(PsycInfo 数据库记录(c)2023 APA,保留所有权利)。

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