Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Linking scores from multiple health outcome instruments.

Neil J Dorans1

  • 1Center for Statistical Theory and Practice, Research and Development Division, Educational Testing Service, Princeton, NJ 08541, USA. ndorans@ets.org

Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation
|February 9, 2007
PubMed
Summary

Equating health assessment scores ensures comparability between different instruments. Statistical methods are crucial for accurate outcome linking when instruments are not inherently comparable.

Related Concept Videos

Guidelines for Writing Outcome01:11

Guidelines for Writing Outcome

When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care evaluation by...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Differential item functioning on the Mini-Mental State Examination. An application of the Mantel-Haenszel and standardization procedures.

Medical careยท2006
See all related articles

Area of Science:

  • Health Outcomes Research
  • Psychometrics
  • Biostatistics

Background:

  • Health assessment instruments provide summary scores that require comparability for interchangeable use.
  • Differences in instrument design can lead to non-comparable scores, potentially causing flawed inferences.
  • Statistical intervention is often necessary to equate or link summary scores from different health assessment instruments.

Purpose of the Study:

  • To address key questions regarding the linking and equating of summary scores from health outcomes.
  • To clarify the definitions of outcome linking and equating and their differences.
  • To explore data collection designs and statistical procedures for outcomes linking.

Main Methods:

  • Discussion of direct statistical adjustments of summary score distributions.

Related Experiment Videos

  • Explanation of indirect procedures based on psychometric models (e.g., Item Response Theory - IRT).
  • Review of common data collection designs for outcomes linking and standard statistical procedures.

    • Main Results:

    • Distinction made between direct statistical adjustments and indirect psychometric modeling approaches.
    • Key questions regarding outcome linking, equating, data collection, and statistical procedures are addressed.
    • The role and assumptions of Item Response Theory (IRT) in linking outcomes are discussed.

    Conclusions:

    • Equating summary scores is essential for the valid interchangeable use of health assessment instruments.
    • Statistical methods, including direct adjustments and IRT-based approaches, are vital for achieving score comparability.
    • Understanding the assumptions of these statistical methods is critical for accurate outcome linking.