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

Investigating rating scale category utility.

J M Linacre1

  • 1MESA Psychometric Laboratory, University of Chicago, IL 60637, USA. mesa@uchicago.edu

Journal of Outcome Measurement
|April 16, 1999
PubMed
Summary

Investigate rating scale categories for valid measurement using Rasch analysis guidelines. These methods assess data features like frequency and ordering to improve scale quality and inform reconceptualization.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

New approaches to determining reliability and validity.

Research quarterly for exercise and sport·2015
Same author

Capturing the true burden of dystonia on patients: the Cervical Dystonia Impact Profile (CDIP-58).

Neurology·2004
Same author

FIM levels as ordinal categories.

Journal of outcome measurement·2001
Same author

New approaches to determining reliability and validity.

Research quarterly for exercise and sport·2000
Same author

Understanding Rasch measurement: estimation methods for Rasch measures.

Journal of outcome measurement·1999
Same author

Detecting multidimensionality: which residual data-type works best?

Journal of outcome measurement·1998

Area of Science:

  • Psychometrics
  • Statistical analysis
  • Measurement theory

Background:

  • Rating scales are widely used in various fields, but ensuring their categories yield valid measurements is crucial.
  • Assessing the quality of rating scales requires robust analytical methods to evaluate data coherence.

Purpose of the Study:

  • To provide analysts with eight guidelines for investigating the cooperative functioning of rating scale categories.
  • To offer a framework for evaluating the measurement quality of rating scales within the Rasch analysis context.

Main Methods:

  • Guidelines focus on category frequency, ordering, and rating-to-measure inferential coherence.
  • Evaluation from both measurement and statistical perspectives is emphasized.
  • Application of guidelines to two published datasets illustrates their utility.

Main Results:

  • The guidelines facilitate the identification of issues in rating scale category functioning.
  • Analysis can lead to recategorization or reconceptualization of rating scales for improved measurement.
  • Demonstrated practical application of the proposed guidelines on real-world data.

Conclusions:

  • The suggested guidelines offer a systematic approach to evaluating rating scale data quality.
  • Rasch analysis provides a valuable framework for assessing the psychometric properties of rating scales.
  • These methods support the development of more reliable and valid measurement instruments.

Related Experiment Videos