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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Why Quantification Matters: Characterization of Phenotypes at the Drosophila Larval Neuromuscular Junction
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Intensive quantities: why they matter to developmental research.

Christine Howe1, Terezinha Nunes, Peter Bryant

  • 1Faculty of Education, University of Cambridge, UK. cjh82@cam.ac.uk

The British Journal of Developmental Psychology
|May 21, 2010
PubMed
Summary
This summary is machine-generated.

This study reveals that children

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Area of Science:

  • Cognitive Development
  • Mathematical Reasoning

Background:

  • Distinction between extensive and intensive quantities.
  • Intensive quantities, derived from proportional relations, are under-researched in developmental studies.
  • Extensive quantities, based on additive combinations, have been the primary focus.

Purpose of the Study:

  • To investigate the development of intensive quantity reasoning in children.
  • To examine the influence of variable salience and relational focus on intensive quantity understanding.
  • To compare reasoning with intensive quantities to existing models of extensive quantity reasoning.

Main Methods:

  • A study involving 963 Scottish children aged 7-12 years.
  • Children solved 42 intensive quantity problems in comparison and missing value formats.
  • Analysis of age-related improvements and the impact of specific cognitive factors.

Main Results:

  • Reasoning skills improved with age across all participants.
  • Variable salience and relational focus significantly influenced performance at all ages.
  • The interaction of these factors differed from predictions based on extensive quantity models.

Conclusions:

  • The distinction between extensive and intensive quantities is theoretically important.
  • Intensive quantities require greater attention in developmental psychology and education.
  • Developmental models need to incorporate factors like variable salience and relational focus for intensive quantities.