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Cited by 163

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Locomotor and Object Control Skills of Children Diagnosed with Autism

Berkeley, Sheri L., Zittel, Lauriece L., Pitney, Lisa V., Nichols, Stacia E.·2001·Adapted Physical Activity Quarterly

Abstract

The purpose of this study was to examine the locomotor and object control skills of children, ages 6–8 years, with autism and to compare their performances with the norms reported by Ulrich (1985) for the Test of Gross Motor Development (TGMD). Consistent with trends from the general population, differences were found between boys (n = 10) and girls (n = 5) with the largest differences found in the object control skill performances. Overall fundamental skill delays were demonstrated by 73% of all participants, placing them in the poor and very poor TGMD performance categories. These findings support the need to assess the gross motor skills of young children with autism in addition to other developmental skill areas outlined in diagnostic manuals.

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Metadata

Authors
Berkeley, S. L., Zittel, L. L., Pitney, L. V., & Nichols, S. E.
Venue
Adapted Physical Activity Quarterly
Published
2001-10
Volume
18
Issue
4
Pages
405-416
ISSN
  • 0736-5829 (ISSN-L)
  • 1543-2777
OpenAlex
W2182027211
Cited by
163
References
5
FWCI
1.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Locomotor and Object Control Skills of Children Diagnosed with Autism. https://app.cochat.ai/papers/10.1123/apaq.18.4.405
The paper
Berkeley, S. L., Zittel, L. L., Pitney, L. V., & Nichols, S. E. (2001). Locomotor and Object Control Skills of Children Diagnosed with Autism. Adapted Physical Activity Quarterly. https://doi.org/10.1123/apaq.18.4.405

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.