Sage Journals: Discover world-class research

Abstract

The study aim was to explore the relationship between a developmental assessment at preschool age and an intelligence quotient (IQ) assessment at school age. One hundred sixty-two children were assessed at 2.5 years with the Bayley Scales of Infant and Toddler Development—Third Edition (Bayley-III) and then at 6.5 years with the Wechsler Intelligence Scale for Children—Fourth Edition (WISC-IV). The Bayley-III Cognitive Index score was the Bayley entity that showed the highest correlation with WISC-IV Full-Scale IQ (FSIQ; r = .41). There was a significant difference between the individual WISC-IV FSIQ and the Bayley-III Cognitive Index scores. Analyses showed an average difference of −4 units and 95% limits of agreement of −18.5 to 26.4 units. A multivariate model identified the Bayley-III Cognitive Index score as the most important predictor for FSIQ and General Ability Index (GAI), respectively, in comparison with demographic factors. The model explained 24% of the total FSIQ variation and 26% of the GAI variation. It was concluded that the Bayley-III measurement was an insufficient predictor of later IQ.

Keywords

developmental assessment Wechsler tests intelligence/cognition assessment preschool participants scale development/testing measurement

Get full access to this article

View all access options for this article.

References

Anderson

P. J.

De Luca

C. R.

Hutchinson

Roberts

Doyle

L. W.

(2010). Underestimation of developmental delay by the new Bayley-III scale. Archives of Pediatric & Adolescent Medicine, 164, 352-356. doi:10.1001/archpediatrics.2010.20

Bayley

(1969). The Bayley Scales of infant development. San Antonio, TX: The Psychological Corporation.

Bayley

(1993). The Bayley Scales of infant development-II. San Antonio, TX: The Psychological Corporation.

Bayley

(2006). Bayley Scales of infant and toddler development technical manual (3rd ed.). San Antonio, TX: The Psychological Corporation.

Bayley

(2009). Bayley Scales of infant and toddler development (3rd ed., Svenskt manual supplement). Stockholm, Sweden: Pearson.

Bode

M. M.

D’Eugenio

D. B.

Mettelman

B. B.

Gross

S. J.

(2014). Predictive validity of the Bayley, Third Edition at 2 years for intelligence quotient at 4 years in preterm infants. Journal of Developmental and Behavioral Pediatrics, 35, 570-575. doi:10.1097/DBP.0000000000000110

Burns

O’Callaghan

McDonell

Rogers

(2004). Movement and motor development in ELBW infants at 1 year is related to cognitive and motor abilities at 4 years. Early Human Development, 80(1), 19-29. doi:10.1016/j.earlhumdev.2004.05.003

Deary

I. J.

Brett

C. E.

(2015). Predicting and retrodicting intelligence between childhood and old age in the 6-day sample of the Scottish Mental Survey 1947. Intelligence, 50, 1-9. doi:10.1016/j.intell.2015.02.002

Domsch

Lohaus

Thomas

(2009). Prediction of childhood cognitive abilities from a set of early indicators of information processing capabilities. Infant Behavior and Development, 32, 91-102. doi:10.1016/j.infbeh.2008.10.006

10.

Doyle

L. W.

Casalaz

(2001). Outcome at 14 years of extremely low birth weight infants: A regional study. Archives of Disease in Childhood: Fetal and Neonatal Edition, 85, 159-164. doi:10.1136/Fn.85.3.F159

11.

Ellingsen

K. M.

(2016). Standardized assessment of cognitive development: Instruments and issues. In Garro

(Ed.), Early childhood assessment in school and clinical child psychology. New York, NY: Springer. doi:10.1007/978-1-4939-6349-2_2

12.

Fellman

Hellström-Westas

Norman

Westgren

Källén

Lagercrantz

. . . Wennergren

(2009). One-year survival of extremely preterm infants after active perinatal care in Sweden. Journal of the American Medical Association, 301, 2225-2233. doi:10.1001/jama.2009.771

13.

Giavarina

(2015). Understanding Bland Altman analysis. Biochemia Medica (Zagreb), 25, 141-151. doi:10.11613/BM.2015.015

14.

Hoff

(2003). The specificity of environmental influence: Socioeconomic status affects early vocabulary development via maternal speech. Child Development, 74, 1368-1378. doi:10.1111/1467-8624.00612

15.

Horn

J. L.

Cattell

R. B.

(1966). Refinement and test of the theory of fluid and crystallized general intelligences. Journal of Educational Psychology, 57, 253-270. doi:10.1037/h0023816

16.

Johnson

Moore

Marlow

(2014). Using the Bayley-III to assess neurodevelopmental delay: Which cut-off should be used? Pediatric Research, 75, 670-674. doi:10.1038/pr.2014.10

17.

Luttikhuizen dos Santos

E. S.

de Kieviet

J. F.

Königs

van Elburg

R. M.

Oosterlaan

. (2013). Predictive value of the Bayley scales of infant development on development of very preterm/very low birth weight children: A meta-analysis. Early Human Development, 89, 487-496. doi:10.1016/j.earlhumdev.2013.03.008

18.

McCall

R. B.

Carriger

M. S.

(1993). A meta-analysis of infant habituation and recognition memory performance as predictors of later IQ. Child Development, 64, 57-79. doi:10.2307/1131437

19.

McGrath

Wypij

Rappaport

L. A.

Newburger

J. W.

Bellinger

D. C.

(2004). Prediction of IQ and achievement at age 8 years from neurodevelopmental status at age 1 year in children with D-transposition of the great arteries. Pediatrics, 114(5), e572-576. doi:10.1542/peds.2003-0983-L

20.

Neisser

Boodoo

Bouchard

T. J.

Jr. Boykin

A. W.

Brody

Ceci

S. J.

. . . Urbina

(1996). Intelligence: Knowns and unknowns. American Psychologist, 51, 77-101. doi:10.1037/0003-066X.51.2.77

21.

Serenius

Ewald

Farooqi

Fellman

Hafström

Hellgren

. . . Källén

(2016). Neurodevelopmental outcomes among extremely preterm infants 6.5 years after active perinatal care in Sweden. JAMA Pediatrics, 170, 954-963. doi:10.1001/jamapediatrics.2016.1210

22.

Serenius

Källén

Blennow

Ewald

Fellman

Holmström

. . . Strömberg

(2013). Neurodevelopmental outcome in extremely preterm infants at 2.5 years after active perinatal care in Sweden. Journal of the American Medical Association, 309, 1810-1820.

23.

Spencer-Smith

M. M.

Spittle

A. J.

Lee

K. J.

Doyle

L. W.

Anderson

P. J.

(2015). Bayley-III cognitive and language scales in preterm children. Pediatrics, 135(5), e1258-1265. doi:10.1542/peds.2014-3039

24.

Statistics Sweden. (2015). Educational attainment of the population 2014. Retrieved from https://www.scb.se/en/finding-statistics/statistics-by-subject-area/education-and-research/education-of-the-population/educational-attainment-of-the-population/

25.

Tideman

(2007). Hur ska WISC-IV användas? In WISC-IV Svensk Version Manual Del I (pp. 91-138). Stockholm, Sweden: NCS Pearson.

26.

Tucker-Drob

E. M.

Briley

D. A.

Harden

K. P.

(2013). Genetic and environmental influences on cognition across development and context. Current Directions in Psychological Science, 22, 349-355. doi:10.1177/0963721413485087

27.

Vohr

B. R.

Stephens

B. E.

Higgins

R. D.

Bann

C. M.

Hintz

S. R.

Das

. . . Fuller

(2012). Are outcomes of extremely preterm infants improving? Impact of Bayley assessment on outcomes. The Journal of Pediatrics, 161, 222-228. doi:10.1016/j.jpeds.2012.01.057

28.

von Stumm

Plomin

. (2015). Socioeconomic status and the growth of intelligence from infancy through adolescence. Intelligence, 48, 30-36. doi:10.1016/j.intell.2014.10.002

29.

Voss

Neubauer

A.-P.

Wachtendorf

Verhey

J. F.

Kattner

(2007). Neurodevelopmental outcome in extremely low birth weight infants: What is the minimum age for reliable developmental prognosis? Acta Paediatrica, 96, 342-347. doi:10.1111/j.1651-2227.2006.00130.x

30.

Wechsler

(2003). Wechsler Intelligence Scale for children (4th ed.). San Antonio, TX: NCS Pearson.

31.

Wechsler

(2007). Wechsler Intelligence Scale for Children, Svensk version (4th ed.). Stockholm: NCS Pearson.

Agreement Between Bayley-III Measurements and WISC-IV Measurements in Typically Developing Children

Abstract

Keywords

Get full access to this article

References