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Continuities and Discontinuities in Development pp 371–401Cite as

Mathematical-Statistical Model Building in Analysis of Developmental Data

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Part of the book series: Topics in Developmental Psychobiology ((TDP))

Abstract

A number of subtle and complex concepts of development are discussed in other chapters of this volume. As other authors note, study designs and data analyses must be carefully executed if concepts are to be properly represented. Kagan, for example (Chapter 2), has pointed to the need to distinguish between connectivity on the one hand and absence of connectivity and emergent phenomena on the other hand. Rutter (Chapter 3) has demonstrated the desirability of distinguishing within- environment determinism from within-person continuity. Fischer et al. (Chapter 5) have raised issues about quantum, or stage, development in contrast to near-continuous development. In almost all chapters there is discussion of how properly to identify stability when, as is inevitably the case, it is found in the company of instability.

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Author information

Authors and Affiliations

  1. Department of Psychology, University of Denver, University Park, Denver, Colorado, 80210, USA

    Robert Short, John Horn & Jack McArdle

Authors
  1. Robert Short
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  2. John Horn
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  3. Jack McArdle
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Editor information

Editors and Affiliations

  1. University of Colorado School of Medicine, Denver, Colorado, USA

    Robert N. Emde  & Robert J. Harmon  & 

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© 1984 Plenum Press, New York

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Short, R., Horn, J., McArdle, J. (1984). Mathematical-Statistical Model Building in Analysis of Developmental Data. In: Emde, R.N., Harmon, R.J. (eds) Continuities and Discontinuities in Development. Topics in Developmental Psychobiology. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2725-7_16

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  • DOI: https://doi.org/10.1007/978-1-4613-2725-7_16

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-9690-4

  • Online ISBN: 978-1-4613-2725-7

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