Skip to main content
construction release_alert
Scholars@Duke will be undergoing maintenance April 11-15. Some features may be unavailable during this time.
cancel
Journal cover image

Addressing traceability of self-reported dependence measurement through the use of crosswalks

Publication ,  Journal Article
Salzberger, T; Cano, S; Abetz-Webb, L; Afolalu, E; Chrea, C; Weitkunat, R; Rose, J
Published in: Measurement: Journal of the International Measurement Confederation
August 1, 2021

Measurement in the social sciences has been characterized by deficient justification and underdeveloped conceptual theories. Instruments supposed to measure the same measurand typically do not provide comparable measurements. From the perspective of metrological traceability, the state of affairs has thus been unsatisfactory. Today, better instruments can be developed as psychometrics provides tools for invariant measurement (Rasch measurement theory), where measurements are justifiable, linear, and sample-independent. Different instruments can be linked to a common metric of the measurand by means of co-calibration of item parameters. Such linkages, referred to as crosswalks, are an important and practically useful contribution to traceability, when common references have not been developed, yet. The measurement of dependence on tobacco and/or nicotine-containing products through self-report instruments illustrates the limitations of traditional measurement, how they can be overcome by new instrument development, and how a network of crosswalks with existing legacy instruments can be established.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Measurement: Journal of the International Measurement Confederation

DOI

ISSN

0263-2241

Publication Date

August 1, 2021

Volume

181

Related Subject Headings

  • Electrical & Electronic Engineering
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 0913 Mechanical Engineering
  • 0801 Artificial Intelligence and Image Processing
  • 0102 Applied Mathematics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Salzberger, T., Cano, S., Abetz-Webb, L., Afolalu, E., Chrea, C., Weitkunat, R., & Rose, J. (2021). Addressing traceability of self-reported dependence measurement through the use of crosswalks. Measurement: Journal of the International Measurement Confederation, 181. https://doi.org/10.1016/j.measurement.2021.109593
Salzberger, T., S. Cano, L. Abetz-Webb, E. Afolalu, C. Chrea, R. Weitkunat, and J. Rose. “Addressing traceability of self-reported dependence measurement through the use of crosswalks.” Measurement: Journal of the International Measurement Confederation 181 (August 1, 2021). https://doi.org/10.1016/j.measurement.2021.109593.
Salzberger T, Cano S, Abetz-Webb L, Afolalu E, Chrea C, Weitkunat R, et al. Addressing traceability of self-reported dependence measurement through the use of crosswalks. Measurement: Journal of the International Measurement Confederation. 2021 Aug 1;181.
Salzberger, T., et al. “Addressing traceability of self-reported dependence measurement through the use of crosswalks.” Measurement: Journal of the International Measurement Confederation, vol. 181, Aug. 2021. Scopus, doi:10.1016/j.measurement.2021.109593.
Salzberger T, Cano S, Abetz-Webb L, Afolalu E, Chrea C, Weitkunat R, Rose J. Addressing traceability of self-reported dependence measurement through the use of crosswalks. Measurement: Journal of the International Measurement Confederation. 2021 Aug 1;181.
Journal cover image

Published In

Measurement: Journal of the International Measurement Confederation

DOI

ISSN

0263-2241

Publication Date

August 1, 2021

Volume

181

Related Subject Headings

  • Electrical & Electronic Engineering
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 0913 Mechanical Engineering
  • 0801 Artificial Intelligence and Image Processing
  • 0102 Applied Mathematics