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

Data aggregation: criteria for psychometric evaluation

J A Verran1, R M Gerber, D A Milton

  • 1University of Arizona, College of Nursing, Tucson 85721.

Research in Nursing & Health
|February 1, 1995
PubMed
Summary
This summary is machine-generated.

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

Effects of trawling on the diets of common demersal fish by-catch of a tropical prawn trawl fishery.

Journal of fish biology·2013
Same author

Impacts of gold mine waste disposal on deepwater fish in a pristine tropical marine system.

Marine pollution bulletin·2006
Same author

The value of theory-driven (rather than problem-driven) research.

Seminars for nurse managers·1998
Same author

Preparing patient care executives to manage complexity.

Aspen's advisor for nurse executives·1997
Same author

Nursing administration. Its time has come.

The Journal of nursing administration·1996
Same author

Comparing work satisfaction in two case management models.

Nursing management·1995
Same journal

Missed Nursing Care in Neonatal Intensive Care Units for Infants Experiencing or at Risk of Experiencing Substance Withdrawal.

Research in nursing & health·2026
Same journal

The Impact of Stress, Trauma, and Violence on Well-Being and Physical Health.

Research in nursing & health·2026
Same journal

A Comparison of Post-Traumatic Stress and Depressive Symptoms by Suicidal Ideation Among Black Transgender Women.

Research in nursing & health·2026
Same journal

Exploring Prolonged Grief Experiences of Ethnoracial Minoritized Caregivers: An Emic Perspective.

Research in nursing & health·2026
Same journal

The Psychometric Properties of the Caregiver Feeding Style Questionnaire: A Cross-Cultural Validation in Spanish Parents.

Research in nursing & health·2026
Same journal

Feasibility of an Online Resilience Program for Mothers With Adverse Childhood Experiences.

Research in nursing & health·2026
See all related articles

This study proposes four empirical criteria to evaluate individual data for group-level analysis, ensuring content validity, representativeness, reliability, and score validity for group phenomena. This systematic approach aids in assessing data aggregation for research and practice.

Area of Science:

  • Health Services Research
  • Nursing Research
  • Data Science

Background:

  • Evaluating individual data for group-level insights requires robust methodological standards.
  • Existing methods may not adequately address the complexities of aggregating data while maintaining validity.

Purpose of the Study:

  • To propose and illustrate a set of empirical criteria for examining individual-level data intended for group-level analysis.
  • To enhance the systematic evaluation of aggregated scores as indicators of group phenomena.

Main Methods:

  • Development of four empirical criteria: content validity, representativeness, reliability, and validity of aggregated scores.
  • Application of these criteria to data from a large research project on professional practice model implementation across nine nursing units.

Related Experiment Videos

Main Results:

  • The proposed criteria offer a structured framework for assessing the suitability of individual data for group-level interpretation.
  • Demonstrated the practical utility of the criteria in a real-world nursing research context.

Conclusions:

  • The four empirical criteria provide a systematic and rigorous approach to evaluating individual data for aggregation.
  • This methodology improves the validity and reliability of group-level findings in research and practice.