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01 · ABSTRACT

Abstract

The study examines the influence of the format and features e of tasks employed to assess cognitive abilities. Three experiments investigated the effect of practice on performance differences between performers of these tasks. Two experiments were conducted on a computerized, demanding task, developed to assess attention management and multitask performance. The third experiment examined practice effects in six replications of a five tasks battery, consisting of tasks commonly used in the evaluation of cognitive functions. Significant individual differences were observed in all experiments, within and across tasks. However, practicing differentially affects tasks and components within tasks.

Three types of practice effects on performance were identified: (1) Performance levels did not change and did not benefit from practice in components which mainly draw upon the operation of bottom-up, exogenous attention systems; (2) Practice had strong asymmetric effects on performance when performance required to resolve a conflict between two automatically attended elements. In these tasks, performers with lower initial performance scores benefited more from practice than those with higher initial performance levels. (3) For tasks in which executive control and working memory were called upon but there was no conflict to resolve, significant practice effects were obtained with equal gains for performers differing in initial performance levels.

The important implication of the obtained results is that when a task is developed as test to evaluate a cognitive ability, its format and features may affect first session performance and only clarified with practice. The contribution of format and components are discussed with reference to research on the evaluation of individual differences in cognitive abilities, types of attention demand and working memory requirements.

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02 · PUBLICATION RECORD

Article details

JournalMedical Research Archives
IssueVol 14 No 1 (2026): Vol.14, Issue 1, January 2026
SectionResearch Articles
Published27 January 2026
DOI10.18103/mra.v14i1.7058
ISSN2375-1924
03 · RIGHTS & REUSE

Rights & reuse

This article is published under a Creative Commons Attribution License (CC BY 3.0) and may be shared or distributed by anyone as long as attribution is given to the journal.

Authors & affiliations

DG

Daniel Gopher

Professor Emeritus of cognitive psychology and human factors engineering; Faculty of Data and Decision Sciences; Technion-Israel Institute of Technology. Haifa

DB

Daniel Ben-Eliezer

Post-doctoral student in cognitive psychology; Faculty of Data and Decision Sciences.; Technion Faculty of Industrial Engineering 2018 (cognitive psychology, human factors)

PF

Paul D. Feigin

Emeritus Professor of Statistic; Faculty of Data and Decision Sciences; Australian National University: PhD 1975

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