Letter | Published:

Validity of Prediction based on Cross-Sectional Analysis

Nature volume 192, pages 13181319 (30 December 1961) | Download Citation

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Abstract

CROSS-SECTIONAL analysis, by means of which is investigated the behaviour of a cross-section of the population at a given point in time, is a convenient method in many fields of research where age or maturational differences are of interest. Implicit in the findings of such investigations are predictions about the future behaviour of the groups concerned. Such predictions are, however, based on the assumption that the behavioural differences between groups are due to the age differences involved, and that future age changes will bring about similar behavioural differences. The fallibility of such predictions in the field of demography has been pointed out1. This investigation is aimed at checking similar findings in the field of absence behaviour in an industrial situation.

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References

  1. 1.

    , The Future of Man (Methuen, London, 1960).

  2. 2.

    , and , Brit. J. Indust. Med., 9, No. 4 (1952).

  3. 3.

    , Intern. Labour Rev., 79, No. 2 (1959).

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Author information

Affiliations

  1. Medical Research Council Industrial Psychology Research Unit, Psychology Department, University College, London, W.C.1.

    • GWYNNETH DE LA MARE
    •  & R. SERGEAN

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DOI

https://doi.org/10.1038/1921318b0

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