Age-stratified norms for Raven's standard progressive matrices for Sri Lankan adults.

IF 3 3区 心理学 Q2 CLINICAL NEUROLOGY Clinical Neuropsychologist Pub Date : 2024-06-27 DOI:10.1080/13854046.2024.2370908
Tharaka L Dassanayake, Dewasmika I Ariyasinghe, Anuradha Baminiwatta, Chandana Hewawasam
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Abstract

Objective: The aim of this study was to create age-stratified norms for the Raven's Standard Progressive Matrices (SPM) for Sri Lankan adults.

Methods: A sample of 610 adults (age: 18-72 years; education: 1-19 years), underwent the 60-item version of the SPM under individual supervision of a test administrator. The sample was stratified into 5-year age bands, and the norms are presented as percentile tables and percentile curves.

Results: The age-related changes were more accurately predicted by a curvilinear model (overall R2 = 0.961) than a linear regression model (R2 = 0.639). The SPM norms are presented as age-stratified percentile tables, as well as sex-, age- and education-adjusted multiple regression equations. The highest percentiles in the younger end of the age spectrum showed a ceiling effect. In the context of age-stratified US (1993) and British (1992) norms, older individuals in the Sri Lankan sample scored much lower than their Western counterparts. However, the difference narrowed in the younger age bands, showing no difference among the 18-to-22-year age bands in the three countries.

Conclusions: This age-by-country interaction can be partly explained by poorer education in the older individuals in the present sample compared to those in the US and UK standardization samples. SPM norms presented in this paper fill a hiatus in assessment of general intellectual ability in Sri Lankan adults. Given that Sri Lanka improves its educational, socioeconomic and health standards faster than the nations who have already reached higher standards, these norms would require re-standardization in the coming decades.

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斯里兰卡成年人的瑞文标准渐进矩阵年龄分层常模。
目的:本研究旨在为斯里兰卡成年人建立瑞文标准进行矩阵(SPM)的年龄分层常模:本研究旨在为斯里兰卡成年人制定瑞文标准进行矩阵(SPM)的年龄分层常模:抽样调查了 610 名成人(年龄:18-72 岁;教育程度:1-19 岁),在测试管理者的个别指导下进行了 60 个项目的 SPM 测试。样本按 5 岁年龄段进行分层,并以百分位数表和百分位数曲线的形式展示了常模:结果:曲线模型(总 R2 = 0.961)比线性回归模型(R2 = 0.639)更能准确预测与年龄有关的变化。SPM 标准以年龄分层百分位数表以及性别、年龄和教育程度调整多元回归方程的形式呈现。年龄越小,百分位数越高,显示出天花板效应。根据美国(1993 年)和英国(1992 年)的年龄分层标准,斯里兰卡样本中年龄较大者的得分远低于西方同龄人。然而,在较年轻的年龄段,差异有所缩小,在这三个国家中,18 至 22 岁年龄段之间没有差异:结论:与美国和英国的标准化样本相比,本样本中年龄较大的人受教育程度较低,这在一定程度上解释了年龄与国家之间的相互影响。本文介绍的 SPM 标准填补了斯里兰卡成人一般智力评估的空白。鉴于斯里兰卡在教育、社会经济和健康标准方面的改善速度要快于那些已经达到较高标准的国家,这些标准在未来几十年内需要重新标准化。
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来源期刊
Clinical Neuropsychologist
Clinical Neuropsychologist 医学-临床神经学
CiteScore
8.40
自引率
12.80%
发文量
61
审稿时长
6-12 weeks
期刊介绍: The Clinical Neuropsychologist (TCN) serves as the premier forum for (1) state-of-the-art clinically-relevant scientific research, (2) in-depth professional discussions of matters germane to evidence-based practice, and (3) clinical case studies in neuropsychology. Of particular interest are papers that can make definitive statements about a given topic (thereby having implications for the standards of clinical practice) and those with the potential to expand today’s clinical frontiers. Research on all age groups, and on both clinical and normal populations, is considered.
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