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

Measurement and data quality in longitudinal research

L R Bergman1

  • 1Department of Psychology, University of Stockholm, Sweden.

European Child & Adolescent Psychiatry
|January 1, 1996
PubMed
Summary

This study highlights the limitations of Steven's scale hierarchy in measurement, emphasizing that scale properties and sampling considerations are crucial for robust longitudinal research quality.

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 Longitudinal Factor Model For Studying Change In Ability Structure.

Multivariate behavioral research·2016
Same author

You Can't Classify All of the People All of the Time.

Multivariate behavioral research·2016
Same author

Development and evaluation of candidate recombinant Salmonella-vectored Salmonella vaccines.

Poultry science·2010
Same author

Development of adjustment problems in girls: what syndromes emerge?

Child development·1999
Same author

A person-oriented approach in research on developmental psychopathology.

Development and psychopathology·1997
Same author

Sex differences in vulnerability?

Acta paediatrica Scandinavica·1991

Area of Science:

  • Measurement theory
  • Longitudinal research methodology
  • Statistical analysis

Background:

  • Traditional measurement scales (nominal, ordinal, interval, ratio) may not capture full data richness.
  • Existing frameworks for measurement in longitudinal studies are often insufficient.
  • Sampling considerations are frequently overlooked in longitudinal research.

Purpose of the Study:

  • To critically evaluate the adequacy of existing measurement scale hierarchies.
  • To emphasize the importance of considering scale properties beyond hierarchical levels.
  • To underscore the necessity of incorporating sampling theory in longitudinal studies.

Main Methods:

  • Conceptual analysis of measurement scales and their properties.
  • Discussion of direct vs. indirect and relative vs. absolute measurement.
  • Examination of measurement error effects.
  • Review of sampling considerations in longitudinal research.

Main Results:

  • Steven's scale hierarchy is deemed too narrow; other scale properties are vital.
  • Well-constructed lower-level scales can yield more information than higher-level ones.
  • Measurement errors can significantly impact study outcomes.
  • Ignoring sampling considerations can severely compromise longitudinal study quality.

Conclusions:

  • Measurement scale selection requires nuanced consideration of properties beyond hierarchy.
  • Integrating modern sampling theory can substantially improve longitudinal study quality.
  • Recommendations are provided for best practices in longitudinal research measurement.

Related Experiment Videos