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Related Concept Videos

Intellectual Disability01:29

Intellectual Disability

Intellectual disability (ID) is a neurodevelopmental condition characterized by deficits in intellectual and adaptive functioning that manifest during the developmental period. This condition encompasses challenges in reasoning, memory, problem-solving, and learning, accompanied by impairments in everyday life skills, such as communication, self-care, and social interactions. Intellectual disability affects approximately 1% of the population in the United States, impacting an estimated 5...
Learning Disabilities01:25

Learning Disabilities

Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
Dyslexia
Dyslexia is a...

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Related Experiment Video

Updated: Jul 24, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
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Published on: June 20, 2020

A cluster analysis of learning disabled children.

C B Jorgenson, D E Jorgenson, W P Davis

    The International Journal of Neuroscience
    |July 1, 1987
    PubMed
    Summary

    This study used cluster analysis to identify distinct subgroups within learning disabled (LD) children. Key factors influencing these subgroups included developmental delays, birth order, and sex, aiding in better understanding LD heterogeneity.

    Area of Science:

    • Child Psychology
    • Educational Psychology
    • Developmental Neuroscience

    Background:

    • Learning disabilities (LD) present significant challenges in educational settings.
    • Identifying homogeneous subgroups within the LD population is crucial for targeted interventions.
    • Previous research has identified variables associated with LD, but subgroup distinctions require further exploration.

    Purpose of the Study:

    • To apply cluster analysis for identifying more homogeneous subgroups of children diagnosed with learning disabilities.
    • To explore demographic and developmental factors that differentiate these subgroups.
    • To enhance the understanding of the heterogeneity within the learning disabled population.

    Main Methods:

    • Cluster analysis was performed on data from 29 children identified as learning disabled.

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  • Data included family demographics, and child's birth, medical, and developmental histories.
  • Variables previously identified as significant discriminators of LD were utilized.

    • Main Results:

    • Cluster analysis successfully delineated more homogeneous subgroups of learning disabled children.
    • Developmental delays, such as later speech or walking milestones, were significant factors.
    • Birth order and the sex of the child also played influential roles in defining these clusters.

    Conclusions:

    • The findings suggest that learning disabilities are not a monolithic condition but comprise distinct subgroups.
    • Developmental history, birth order, and sex are important variables for characterizing these subgroups.
    • This research provides a foundation for more individualized educational and therapeutic approaches for children with learning disabilities.