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1000 Titel
  • Factor Structure of the eHEALS
1000 Autor/in
  1. Reder, Maren |
  2. Soellner, Renate |
1000 Erscheinungsjahr 2022
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-10-01
1000 Erschienen in
1000 Quellenangabe
  • 68(4):209-218
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1026/0012-1924/a000294 |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:p> Abstract. The dimensionality of the eHEALS has been the subject of some controversy. Sample populations and language versions vary widely, as do the employed statistical methods to assess dimensionality. In previous research, we assessed the factor structure in two different samples testing 1 vs. 2 and 1 vs. 2 vs. 3 correlated factors. The objective of this reanalysis was to assess whether the 3-factor model fitted better than the 2- and 1-factor models. We analyzed data from a 2009 cross-sectional survey on health literacy in grade 12 ( n = 327) using CFA. All factor models of the eHEALS showed unsatisfactory model fit. A subsequent exploratory bifactor analysis confirmed multidimensionality and indicated that Item 2 was problematic. When this item was excluded from the correlated factor models, model fit improved, and the 3-factor model showed the best fit. The results in our sample of 12th-grade students offer some support to the German eHEALS having a 3-factor structure similar to the results from our previous research in women aged 50. The replicability of the fit pattern in a different sample and setting was limited by diverging results on Item 2. </jats:p>
1000 Sacherschließung
lokal Original Article
lokal eHEALS
lokal confirmatory factor analysis
lokal Reanalyse
lokal konfirmatorische Faktorenanalyse
lokal reanalysis
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-8842-581X|https://orcid.org/0000-0002-6732-9076
1000 Hinweis
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1000 Erstellt am 2023-03-23T10:08:54.028+0100
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1000 Zuletzt bearbeitet Fri May 03 11:48:04 CEST 2024
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