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Related Experiment Videos

Measuring familial sinistrality: problems with dichotomous classification.

David M Corey1, Anne L Foundas

  • 1Department of Psychology, Tulane University, New Orleans, LA 70118, USA. dave@tulane.edu

Laterality
|July 16, 2005
PubMed
Summary

Using proportional familial sinistrality (FSP) offers a more sensitive measure of left-handedness than dichotomous familial sinistrality (FSD). FSP analysis enhances statistical power and accuracy, improving research findings in genetics and human behavior.

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Area of Science:

  • Human Genetics
  • Behavioral Genetics
  • Statistical Genetics

Background:

  • Familial sinistrality (FS), or left-handedness, is typically measured dichotomously (FS+/FS-).
  • Dichotomous measurement discards magnitude data and risks violating statistical assumptions.
  • A proportional measure of familial left-handedness (FSP) may offer a more sensitive approach.

Purpose of the Study:

  • To test the hypothesis that a non-dichotomised measure of familial sinistrality (FSP) allows for more sensitive statistical tests than a dichotomised measure (FSD).
  • To compare the effect size, statistical significance, and assumption violations between FSP and FSD measures.
  • To empirically estimate long-term differences in statistical power between FSP and FSD analyses using bootstrapping.

Main Methods:

Related Experiment Videos

  • Measured familial sinistrality (FS) in 60 healthy adults using both dichotomous (FSD) and proportional (FSP) methods.
  • Analyzed effect size, statistical significance, and assumption adherence for both measures.
  • Employed bootstrapping to estimate long-term statistical power differences between FSP and FSD analyses.

    • Main Results:

    • The effect size was 2.3 times larger using FSP compared to FSD.
    • Statistical significance was achieved with FSP but not with FSD.
    • Statistical assumptions were violated with FSD but not with FSP.
    • FSP analysis demonstrated over 50% long-term increases in statistical power and effect size compared to FSD.

    Conclusions:

    • A proportional measure of familial sinistrality (FSP) enhances accuracy of effect sizes.
    • Using FSP increases the sensitivity of statistical tests in familial sinistrality research.
    • Proportional measurement reduces the likelihood of violating statistical assumptions, leading to more robust findings.