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Psychometrics Matter in Health Behavior: A Long-term Reliability Generalization Study.

Andrew C Pickett1, Danny Valdez2, Adam E Barry3

  • 1Assistant Professor, Division of Kinesiology and Sport Management, University of South Dakota, Vermillion, SD;,

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Reliability estimates in health behavior research vary significantly across different samples and time periods. Reporting these psychometric properties is crucial for accurate statistical conclusions.

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Area of Science:

  • Psychology
  • Health Behavior Research
  • Psychometrics

Background:

  • Social science research, including health behavior, has historically underreported reliability estimates.
  • There's a growing need for better understanding and reporting of reliability in research.

Purpose of the Study:

  • To examine the variability of reliability estimates in a health behavior study.
  • To demonstrate how sample characteristics and time influence reliability.

Main Methods:

  • Meta-analytic reliability generalization was employed.
  • Coefficient alpha scores were analyzed over nearly 40 years for a nationwide health study.

Main Results:

  • Reliability estimates (coefficient alpha) showed significant variation across different years and samples.
  • Sample characteristics, particularly those differing by age groups, predicted reliability.

Conclusions:

  • Reliability of scores is demonstrably influenced by the specific sample and methodologies used.
  • Emphasizes the critical importance of considering and reporting psychometric properties, especially reliability, before drawing conclusions.