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

Moving the cut score on Rasch scored tests.

G Edward Miller1, S Natasha Beretvas

  • 1Division of Student Assessment, Texas Education Agency, 1701 North Congress Avenue, Austin, Texas 78701-1495, USA. gmiller@tea.state.tx.us

Journal of Applied Measurement
|July 31, 2002
PubMed
Summary

This study provides guidelines for adjusting test cut scores by strategically selecting dichotomous items based on the Rasch model. These item selection strategies help manipulate test form difficulty and variance to achieve desired cut score adjustments.

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

A systematic review and meta-analysis of interventions addressing sexual and gender minority stress.

Clinical psychology review·2026
Same author

Exploring the Use of Multiple Imputation for Handling Missing Covariates in Meta-Regression with Dependent Effect Sizes.

Multivariate behavioral research·2026
Same author

Meta-analytic pooling of intraclass correlation coefficient estimates.

Research synthesis methods·2026
Same author

New Linked Employee-Employer Data Show Workforce Composition Is Associated With Health Insurance Offers Among Small Employers.

Medical care research and review : MCRR·2024
Same author

Missingness mechanism messiness in meta-analysis: A response to "The importance of plausible data-generating mechanisms in simulation studies".

Research synthesis methods·2022
Same author

The Impact of Sharing Drug Rebates at the Point of Sale on Out-of-Pocket Payments for Enrollees in Employer-Sponsored Insurance.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research·2022

Area of Science:

  • Psychometrics
  • Educational Measurement
  • Item Response Theory

Background:

  • Equated tests require careful item selection to maintain score comparability.
  • The Rasch model provides a framework for item calibration and test construction.
  • Adjusting cut scores on tests can impact performance interpretation.

Purpose of the Study:

  • To develop empirical guidelines for item selection to modify test cut scores.
  • To provide methods for increasing or decreasing the cut score on equated tests.
  • To offer practical strategies for test developers using the Rasch model.

Main Methods:

  • Utilizing the Rasch model for item calibration.
  • Deriving item selection guidelines based on item difficulty (mean) and variance.

Related Experiment Videos

  • Applying empirical and simulated examples to illustrate the guidelines.

    • Main Results:

    • Guidelines are presented for increasing a test form's cut score by manipulating item difficulty and variance.
    • Specific conditions are outlined for adjusting cut scores based on the original cut score's position relative to the total number of items (n/2).
    • Reversing the described changes in item difficulty and variance allows for decreasing the cut score.

    Conclusions:

    • Empirically-based item selection is effective for adjusting test cut scores.
    • Test developers can use these guidelines to fine-tune test difficulty and comparability.
    • The Rasch model facilitates precise control over test characteristics through item selection.