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Patterns of hand preference in a student population.

G G Briggs, R D Nebes

Cortex; a Journal Devoted to the Study of the Nervous System and Behavior

|September 1, 1975

Summary

This study refined the Annett handedness inventory, finding family history, not sex, predicts handedness. The improved scale better identifies ambidexterity in college students.

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Area of Science:

Psychology
Human Biology
Neuroscience

Background:

Handedness, the preference for using one hand over the other, is a complex trait.
Previous handedness inventories have limitations in accurately classifying mixed-handedness and ambidexterity.
Understanding factors influencing handedness is crucial for developmental and neurological studies.

Purpose of the Study:

To assess the handedness of a large college student sample using a modified Annett inventory.
To evaluate the effectiveness of a new strength of preference scale in classifying mixed-handedness and ambidexterity.
To investigate the relationship between sex, family history of left-handedness, and subject handedness.

Main Methods:

A modified version of Annett's (1967) handedness inventory was administered to 1599 college students.
The inventory included a strength of preference scale to refine the "mixed" handedness classification.
Statistical analyses were performed to examine the relationship between handedness and demographic factors.

Main Results:

Contrary to prior research, no significant relationship was found between sex and handedness.
A significant association was identified between a family history of left-handedness and the subject's handedness.
The modified inventory effectively distinguished between true ambidexterity and mixed-handedness.

Conclusions:

The refined Annett inventory with a strength of preference scale offers improved accuracy in assessing handedness, particularly for mixed-handedness and ambidexterity.
Family history of left-handedness is a significant predictor of an individual's handedness.
The updated inventory is suitable for both large-scale group assessments and individual testing, with data easily transferable for analysis.

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