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Profile analysis of a referral sample.

A H Gajar, R L Hale, C Kuzovich

    The Journal of Psychology
    |March 1, 1984
    PubMed
    Summary

    Skinner

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    Area of Science:

    • Psychology
    • Educational Psychology
    • Child Psychology

    Background:

    • Public schools often refer children for psychological evaluations.
    • Understanding the classification structure of referred children is crucial for effective intervention.
    • Existing classification systems may not align with statistical findings.

    Purpose of the Study:

    • To apply Skinner's Modal Profile Analysis (MPA) to identify underlying classification structures in referred children.
    • To compare the MPA-derived classification with school-based classifications.
    • To assess the predictive utility of MPA-derived profiles for school labels.

    Main Methods:

    • Utilized Skinner's Modal Profile Analysis (MPA) on data from 235 children.
    • Collected data on intellectual development, academic achievement, and social adjustment.
    • Performed discriminant analysis to compare MPA profiles with school classifications.

    Main Results:

    • MPA identified three profiles, each with two distinct types, resulting in six child groups.
    • The six-group solution achieved 81% classification accuracy for the referral sample.
    • Discriminant analysis showed statistically significant but practically useless prediction of school labels from MPA profiles.

    Conclusions:

    • MPA can reveal distinct child typologies based on psychological and academic data.
    • The identified statistical classification structure does not directly map onto school-based systems.
    • While statistically significant, MPA profile scores have limited practical value in predicting existing school classifications.

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