Estimating the minimal important change of single-item measures using the adjusted predictive modeling method or the longitudinal confirmatory factor analysis method

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Publication Details

Journal
Quality of Life Research
Published
2026-01-09
DOI
https://doi.org/10.1007/s11136-025-04134-3
Primary Topic
Psychometric Methodologies and Testing
Type
article
Field-Weighted Citation Impact
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article

Estimating the minimal important change of single-item measures using the adjusted predictive modeling method or the longitudinal confirmatory factor analysis method

Babette C van der Zwaard, Piper Fromy, Yong Hao Pua, Jakob B. Bjorner et al.
Quality of Life Research
Psychometric Methodologies and Testing
article

Estimating the minimal important change of single-item measures using the adjusted predictive modeling method or the longitudinal confirmatory factor analysis method

Babette C van der Zwaard, Piper Fromy, Yong Hao Pua, Jakob B. Bjorner, Berend Terluin, Andrew Trigg
article en

Abstract

No abstract available for this paper.
Quality of Life ResearchVol. 35(2)
University of Copenhagen (DK), Singapore General Hospital (SG), IQVIA (United Kingdom) (GB), Duke-NUS Medical School (SG), National Research Centre for the Working Environment (DK), Public Health Service of Amsterdam (NL), Jeroen Bosch Ziekenhuis (NL), Bayer (United Kingdom) (GB), Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 94%
Psychometric Methodologies and Testing
DOIOpen Access PDFOpenAlex
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Estimating the minimal important change of single-item measures using the adjusted predictive modeling method or the longitudinal confirmatory factor analysis method — Babette C van der Zwaard, Piper Fromy, et al. · Quality of Life Research (2026) | TGRS Research Map | TGRS