Journal article
German version of the mobile Agnew Relationship Measure: translation and validation study
- Abstract:
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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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 221.7KB, Terms of use)
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- Publisher copy:
- 10.2196/43368
Authors
- Publisher:
- JMIR Publications
- Journal:
- Journal of Medical Internet Research More from this journal
- Volume:
- 25
- Article number:
- e43368
- Publication date:
- 2023-11-13
- Acceptance date:
- 2023-07-27
- DOI:
- EISSN:
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1438-8871
- Language:
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English
- Keywords:
- Pubs id:
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2022012
- Local pid:
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pubs:2022012
- Deposit date:
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2024-08-16
Terms of use
- Copyright holder:
- von Wulffen et al
- Copyright date:
- 2023
- Rights statement:
- © Clemens von Wulffen, Marta Anna Marciniak, Judith Rohde, Raffael Kalisch, Harald Binder, Oliver Tuescher, Birgit Kleim. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 13.11.2023. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
- Licence:
- CC Attribution (CC BY)
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