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  1. Home
  3. Research Domains
  5. Mathematical Sciences
  7. Statistics
  9. Large And Complex Data Theory
  11. Left-digit Bias In Self-reported Height.
  1. Home
  3. Research Domains
  5. Mathematical Sciences
  7. Statistics
  9. Large And Complex Data Theory
  11. Left-digit Bias In Self-reported Height.

Related Experiment Video

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Left-digit bias in self-reported height.

Hyunkuk Cho1

  • 1Yeungnam University, School of Economics and Finance, South Korea.

Economics and Human Biology
|April 13, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Adolescents sometimes exaggerate their height due to left-digit bias, particularly males. This cognitive bias influences self-reported height measurements in younger individuals.

Keywords:
cognitive biasleft-digit biasself-reported height

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Area of Science:

  • Cognitive psychology
  • Human behavior
  • Adolescent health

Background:

  • Left-digit bias is a cognitive phenomenon influencing numerical perception.
  • Self-reported height is often inflated due to social desirability, with taller stature linked to perceived advantages.

Purpose of the Study:

  • To investigate the association between left-digit bias and self-reported height in adolescents.
  • To determine if left-digit bias affects height reporting accuracy.

Main Methods:

  • Utilized data from an annual health survey of adolescents (grades 7-12).
  • Analyzed self-reported height data for patterns indicative of left-digit bias.

Main Results:

  • Male adolescents demonstrated a significant left-digit bias in reporting their height.
  • Female adolescents did not exhibit a statistically significant left-digit bias in height reporting.

    • Conclusions:

    • Left-digit bias influences self-reported height among male adolescents.
    • Findings contribute novel evidence to the understanding of cognitive biases in self-reporting behaviors.