Measuring Visual, Spatial, and Visual Spatial Short-Term Memory in Schoolchildren: Studying the Influence of Demographic Factors and Regression-Based Normative Data

Author:

Toornstra A.ORCID,Hurks P. P. M.,Van der Elst W.,Kok G.,Curfs L. M. G.

Abstract

Abstract The study aims to establish demographically corrected norms for three computerized tasks measuring different aspects of visual short-term memory (VSTM) in Ukrainian schoolchildren. These tasks measure respectively visual STM (the Pattern Recognition Memory (PRM) test), spatial STM (the Spatial Span (SSP) task), and visual spatial STM (the Paired Associates Learning (PAL) task). All tasks were administered to n = 186 children aged 5.10 years to 14.5 years old to evaluate the influence of demographic variables. Relevant demographic factors that influence task scores (VSTM), i.e., age and level of parental education, are identified and in keeping with the current literature. No sex differences were found. Based on these data, regression-based, demographically corrected norms were established per task. This approach to constructing norms differs from how (worldwide) PRM, SSP, and/or PAL norms have been constructed traditionally. In the latter approach, norms are calculated for each age group separately and without correcting for level of parental education, whereas in the regression-based normative method, multiple regression models are used to compute the expected test scores of an individual (rather than the subgroup means that are used in the traditional approach). Consequently, the regression-based norms for the PRM, SSP, and PAL presented in this paper are individualized, taking into account the unique characteristics of the individual that is tested on these tasks. Last, the confidence intervals of the PRM scores of the Ukrainian schoolchildren and the western norm group largely overlapped, except for the youngest age group, which adds to the literature about cultural effects on cognition.

Funder

Maastricht University

Publisher

Springer Science and Business Media LLC

Cited by 3 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