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German Version of the Mobile Agnew Relationship Measure.pdf 221,69KB
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1000 Titel
  • German Version of the Mobile Agnew Relationship Measure: Translation and Validation Study
1000 Autor/in
  1. von Wulffen , Clemens |
  2. Marciniak, Marta |
  3. Rohde, Judith |
  4. Kalisch, Raffael |
  5. Binder, Harald |
  6. Tuescher, Oliver |
  7. Kleim, Birgit |
1000 Erscheinungsjahr 2023
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-11-13
1000 Erschienen in
1000 Quellenangabe
  • 25:e43368
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.2196/43368 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682917/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!The mobile Agnew Relationship Measure (mARM) is a self-report questionnaire for the evaluation of digital mental health interventions and their interactions with users. With the global increase in digital mental health intervention research, translated measures are required to conduct research with local populations.!##!Objective!#!The aim of this study was to translate and validate the original English version of the mARM into a German version (mARM-G).!##!Methods!#!A total of 2 native German speakers who spoke English as their second language conducted forward translation of the original items. This version was then back translated by 2 native German speakers with a fluent knowledge of English. An independent bilingual reviewer then compared these drafts and created a final German version. The mARM-G was validated by 15 experts in the field of mobile app development and 15 nonexperts for content validity and face validity; 144 participants were recruited to conduct reliability testing as well as confirmatory factor analysis.!##!Results!#!The content validity index of the mARM-G was 0.90 (expert ratings) and 0.79 (nonexperts). The face validity index was 0.89 (experts) and 0.86 (nonexperts). Internal consistency for the entire scale was Cronbach α=.91. Confirmatory factor analysis results were as follows: the chi-square statistic to df ratio was 1.66. Comparative Fit Index was 0.87 and the Tucker-Lewis Index was 0.86. The root mean square error of approximation was 0.07.!##!Conclusions!#!The mARM-G is a valid and reliable tool that can be used for future studies in German-speaking countries.
1000 Sacherschließung
lokal Humans
lokal Knowledge [MeSH]
lokal Language [MeSH]
lokal Humans [MeSH]
lokal Knowledge
lokal Mental Health [MeSH]
lokal Health Informatics
lokal Factor Analysis, Statistical [MeSH]
lokal Mental Health
lokal Reproducibility of Results [MeSH]
lokal Reproducibility of Results
lokal Language
lokal Factor Analysis, Statistical
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-7332-2615|https://orcid.org/0000-0003-4301-3269|https://orcid.org/0000-0002-7424-058X|https://orcid.org/0000-0002-9503-7601|https://orcid.org/0000-0002-5666-8662|https://orcid.org/0000-0002-4023-5301|https://orcid.org/0000-0001-9114-2917
1000 Label
1000 Förderer
  1. Horizon 2020 |
1000 Fördernummer
  1. 777084
1000 Förderprogramm
  1. DynaMORE
1000 Dateien
  1. German Version of the Mobile Agnew Relationship Measure: Translation and Validation Study
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Horizon 2020 |
    1000 Förderprogramm DynaMORE
    1000 Fördernummer 777084
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6472722.rdf
1000 Erstellt am 2023-12-14T08:18:13.282+0100
1000 Erstellt von 336
1000 beschreibt frl:6472722
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Thu Dec 14 08:58:14 CET 2023
1000 Objekt bearb. Thu Dec 14 08:58:01 CET 2023
1000 Vgl. frl:6472722
1000 Oai Id
  1. oai:frl.publisso.de:frl:6472722 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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