» Articles » PMID: 16161087

General Measures of Cognition for the Preschool Child

Overview
Date 2005 Sep 15
PMID 16161087
Citations 24
Authors
Affiliations
Soon will be listed here.
Abstract

Preschool-age children who are experiencing delays in physical, cognitive, communication, social, emotional, or adaptive development are often referred for a comprehensive assessment to make diagnostic determinations and to help develop appropriate interventions. Typically cognitive assessment has a key role in a comprehensive evaluation of a young child. In this article, five individually administered tests of cognitive ability, normed for the preschool-age child, are reviewed. These specific tests include the Bayley Scales of Infant Development, 2nd edition, the Kaufman Assessment Battery for Children, 2nd edition, the Wechsler Preschool and Primary Scale of Intelligence, 3rd edition, the Stanford-Binet Intelligence Scale, 5th edition, and the Differential Abilities Scales. The following is provided for these cognitive instruments: a description of the test procedures, information on scoring systems, highlights of the technical qualities, and a summary of the general meaning of test results. The article concludes with strengths and limitations of the instruments.

Citing Articles

Comprehensive evaluation of functional vision, quality of life, and cognitive ability in pediatric uveitis.

Wan W, Chen Z, Xun Y, Yi K, Zhu Y, Pu Y BMC Ophthalmol. 2023; 23(1):381.

PMID: 37723468 PMC: 10507833. DOI: 10.1186/s12886-023-03117-7.


Healthy eating interventions delivered in early childhood education and care settings for improving the diet of children aged six months to six years.

Yoong S, Lum M, Wolfenden L, Jackson J, Barnes C, Hall A Cochrane Database Syst Rev. 2023; 8:CD013862.

PMID: 37606067 PMC: 10443896. DOI: 10.1002/14651858.CD013862.pub3.


Healthy eating interventions delivered in early childhood education and care settings for improving the diet of children aged six months to six years.

Yoong S, Lum M, Wolfenden L, Jackson J, Barnes C, Hall A Cochrane Database Syst Rev. 2023; 6:CD013862.

PMID: 37306513 PMC: 10259732. DOI: 10.1002/14651858.CD013862.pub2.


Use of artificial intelligence on Electroencephalogram (EEG) waveforms to predict failure in early school grades in children from a rural cohort in Pakistan.

Rasheed M, Chand P, Ahmed S, Sharif H, Hoodbhoy Z, Siddiqui A PLoS One. 2021; 16(2):e0246236.

PMID: 33556088 PMC: 7869999. DOI: 10.1371/journal.pone.0246236.


Developmental Skills of Individuals with Angelman Syndrome Assessed Using the Bayley-III.

Sadhwani A, Wheeler A, Gwaltney A, Peters S, Barbieri-Welge R, Horowitz L J Autism Dev Disord. 2021; 53(2):720-737.

PMID: 33517526 PMC: 8322148. DOI: 10.1007/s10803-020-04861-1.