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.

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