Publication Cover
Child Neuropsychology
A Journal on Normal and Abnormal Development in Childhood and Adolescence
Latest Articles
58
Views
0
CrossRef citations to date
0
Altmetric
Research Article

What does the Developmental Neuropsychological Assessment–II (NEPSY-II) measure in children ages 7 to 12? A structural and psychometric analysis

ORCID Icon, , , &
Received 07 Aug 2023, Accepted 14 May 2024, Published online: 14 Jun 2024
 

ABSTRACT

The Developmental Neuropsychological Assessment – II (NEPSY-II) is a widely used assessment battery in pediatric settings, but its internal structure has not been adequately examined. This study employed a rational, empirical approach to examine the construct validity of 23 NEPSY-II subtest scores from children ages 7–12 (M = 9.99, SD = 2.76) in the NEPSY-II norming sample (N = 600; 50% girls). Competing higher-order models based on prior research, hypothesized NEPSY-II domains, and conceptual subtest classifications were evaluated via confirmatory factor analysis and a sequential approach to model comparisons. The results supported the multidimensionality of NEPSY-II subtests and the organization of subtests by hypothesized neuropsychological domains. The best fitting model included a general factor and four first-order factors. Factor loadings from the general factor to first-order factors were very strong. However, general factor loadings for most subtests were less than .50 (range = .21–.69, M = .44), and domain-specific effects for all subtests, independent of the general factor, were even lower (range = .00–.45, M = .44). Interestingly, all subtests demonstrated strong subtest-specific effects, but it is not clear what construct(s) the subtest-specific effects represent. Findings support NEPSY-II authors’ emphasis on subtest-level interpretations rather than composite-level interpretations and highlight that NEPSY-II subtest scores should be interpreted carefully and with caution.

Acknowledgments

This manuscript is based on a thesis submitted by the first author under the supervision of the second author in partial fulfillment of the requirements for a doctoral degree in school psychology. We thank thesis committee member Dr. Kristoffer Berlin for his helpful comments.

Disclosure statement

We thank Pearson, Inc., for providing data from the NEPSY-II standardization sample. Standardization data from the NEPSY, Second Edition (NEPSY-II). Copyright © 2007 NCS Pearson, Inc. Used with written permission. All rights reserved.

Notes

1 Parameter values reported in figures may differ slightly from what is reported in text due to rounding error.

2 These values are the same as the total standardized indirect effects from the general factor to subtests (from Model 11C).

3 These values are the same as the difference between the squared multiple correlation for each subtest from Model 11C and the squared total standardized indirect effects from the general factor to subtests (a.k.a., the percentage of general factor variance for each subtest).

4 These values are the same as the difference between the internal consistency reliability estimate reported in and the squared multiple correlation for each subtest from Model 11C.

5 Error variance can be obtained by subtracting internal consistency reliability values in from 1.0 and converting them to a percentage.

6 The lower-order factor, Memory and Learning, could be viewed as measuring a general factor, and vice versa, the general factor could be interpreted as representing Memory and Learning.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 336.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.