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Research instrumentation and elderly subjects

I Burnside1, S Preski, J E Hertz

  • 1San Diego State University, California.

Image--The Journal of Nursing Scholarship
|October 17, 1998
PubMed
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Researchers need better instruments for studying older adults. Current tools often fail to account for factors like fatigue, anxiety, and education, hindering gerontological research quality.

Area of Science:

  • Gerontology
  • Psychometrics
  • Research Methodology

Background:

  • Gerontological research frequently encounters challenges with existing research instruments.
  • Many instruments lack validation for use with elderly and very elderly populations.
  • There is a critical need for improved instrumentation in studies involving older adults.

Purpose of the Study:

  • To identify and address instrumentation problems specific to research with elderly subjects.
  • To guide researchers in selecting and adapting instruments for optimal use with older populations.
  • To highlight the necessity for developing and validating new instruments in gerontology.

Main Methods:

  • Consideration of the unique needs of older adults in instrument selection.

Related Experiment Videos

  • Evaluation of various instrument types for their applicability to elderly populations.
  • Provision of techniques for pretesting instruments, illustrated with research examples.
  • Methods for enhancing the suitability of instruments for older participants are discussed.

    • Main Results:

    • Four key factors for instrument selection in older adults include fatigue, anxiety, ethnic background, and education.
    • These crucial factors are often inadequately addressed in current gerontological research literature.
    • Specific instrument types demonstrate greater utility for studying the elderly population.

    Conclusions:

    • Significant advancements in instrument development are required for robust gerontological research.
    • Researchers must carefully select instruments, balancing participant capacity with research demands.
    • Addressing factors like fatigue, anxiety, ethnicity, and education is vital for valid and reliable data collection in older adults.