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Related Experiment Videos

Gender differences in performance of a selection test using the incremental lifting machine.

J M Stevenson1, D R Greenhorn, J T Bryant

  • 1School of Physical and Health Education, Queen's University, Kingston, Ontario, Canada, K7L 3N6.

Applied Ergonomics
|February 1, 1996
PubMed
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This study found significant gender differences in incremental lifting machine (ILM) test performance. ILM scores poorly predicted box-lifting for females, raising concerns about selection fairness in pre-employment screening.

Area of Science:

  • Occupational Health and Safety
  • Ergonomics
  • Human Factors Engineering

Background:

  • Pre-employment screening tests are crucial for assessing physical capabilities.
  • The incremental lifting machine (ILM) is used to evaluate strength and predict task performance.
  • Ensuring fairness and accuracy in selection tests across genders is a critical consideration.

Purpose of the Study:

  • To investigate gender-based performance disparities on the incremental lifting machine (ILM) pre-employment test.
  • To provide recommendations for analyzing selection fairness in pre-employment screening devices and tests.

Main Methods:

  • Collected data on dynamic measures from a 1.8m maximum ILM strength test.
  • Analyzed relationships between ILM scores, maximal box-lifting task performance, and anthropometric measures.

Related Experiment Videos

  • Evaluated the predictive accuracy of the ILM test using different cut-off standards.

    • Main Results:

    • Females exhibited significant differences from males in ILM test performance across multiple dynamic parameters.
    • ILM scores showed weak correlation with box-lifting performance in females but correlated with body weight.
    • Regression analyses indicated ILM scores explained twice as much variance in box-lifting for males compared to females.
    • Cut-off standards resulted in higher false-negative rates for females, with selection rates at 56% of males at 27.3 kg.

    Conclusions:

    • The ILM strength test demonstrates gender-based performance differences, impacting its validity for predicting task performance in females.
    • Current cut-off standards may lead to biased selection outcomes, disproportionately affecting female candidates.
    • Further research is recommended to refine pre-employment screening methods for equitable and accurate physical capacity assessment.