Physical Ability-Task Performance Models: Assessing the Risk of Omitted Variable Bias

Abstract

The physical capacities of job incumbents limit performance on occupational physical tasks. While muscle strength is logically an important performance-relevant physical ability, omitted variable bias may cause its importance to be overstated. This bias occurs when a causal variable in a model correlates with other causal variables that are omitted from the model. The impact of omitted variable bias on the strength-performance association was evaluated in a study of simulated job performance in men and women. The study measured 4 major abilities, Static Strength (SS), Dynamic Strength (DS), Anaerobic Power (AP), and Aerobic Capacity (AC). Performance measures were simulated lifting and carrying tasks. Analysis showed moderate to strong relationships among the ability measures. All four ability measures were significantly related to lifting and to carrying performance. However, construction of a series of alternative predictive models led to adoption of a final model, with SS and AC as the only predictors. The absence of AP and DS from the model indicates that omitted variable bias can be expected whenever these ability factors are studied in isolation from SS and AC. The practical implication is that physical training can be mistakenly focused on abilities that have no impact on job performance.

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Document Details

Document Type
Technical Report
Publication Date
Sep 15, 2008
Accession Number
ADA515128

Entities

People

  • James A. Hodgdon
  • Marcie B. Beckett
  • Ross R. Vickers

Organizations

  • Naval Health Research Center

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Applied Psychology
  • Behavioral Research
  • Behavioral Sciences
  • Data Science
  • Factor Analysis
  • Information Science
  • Measurement
  • Military Research
  • Musculoskeletal Physiology
  • New York
  • Physical Fitness
  • Predictive Modeling
  • Psychology
  • Regression Analysis
  • Task Performance And Analysis
  • Training

Readers

  • Computational Modeling and Simulation
  • Exercise and Sports Science.
  • Psychometric Testing or Psychological Assessment.