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      The German version of the Quality of Marriage Index: Psychometric properties in a representative sample and population-based norms

      research-article
      Author(s): 1 , * , 1 , 2
      Editor(s):
      Publication date (Electronic):
      Journal: PLoS ONE
      Publisher: Public Library of Science

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The Quality of Marriage Index (QMI) is a 6-item internationally widely-used instrument assessing relationship satisfaction. This study aimed to evaluate (1) the psychometric properties of the German version in a representative sample of the German general population ( N = 1431) as well as (2) effects of gender and age on relationship satisfaction. All participants were in a relationship. The German QMI demonstrates good item characteristics and excellent reliability (α = .94). The proposed one-factor solution was replicated. Differences in scoring on the QMI showed that males scored higher than females and differences between younger and older participants were found. The findings suggest that the German version of the QMI is suitable to reliably measure relationship satisfaction and may therefore be used as a brief screening instrument in a variety of settings and research questions. A cross validation in a sample of couples seeking help for relationship difficulties should be considered in future research. The limited number of items and the one-factor-solution do not suggest this instrument as a fine-tuned assessment tool for different dimensions of relationship satisfaction.

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          Most cited references27

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          Measuring the accuracy of diagnostic systems.

          J Swets (1988)
          Diagnostic systems of several kinds are used to distinguish between two classes of events, essentially "signals" and "noise". For them, analysis in terms of the "relative operating characteristic" of signal detection theory provides a precise and valid measure of diagnostic accuracy. It is the only measure available that is uninfluenced by decision biases and prior probabilities, and it places the performances of diverse systems on a common, easily interpreted scale. Representative values of this measure are reported here for systems in medical imaging, materials testing, weather forecasting, information retrieval, polygraph lie detection, and aptitude testing. Though the measure itself is sound, the values obtained from tests of diagnostic systems often require qualification because the test data on which they are based are of unsure quality. A common set of problems in testing is faced in all fields. How well these problems are handled, or can be handled in a given field, determines the degree of confidence that can be placed in a measured value of accuracy. Some fields fare much better than others.
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            Measuring Marital Quality: A Critical Look at the Dependent Variable

            Robert Norton (1983)
            Article 0 comments Cited 341 times – based on 0 reviews     Review now
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              Marriage and health: His and hers.

              Janice Kiecolt-Glaser, Tamara Newton (2001)
              This review focuses on the pathway leading from the marital relationship to physical health. Evidence from 64 articles published in the past decade, particularly marital interaction studies, suggests that marital functioning is consequential for health; negative dimensions of marital functioning have indirect influences on health outcomes through depression and health habits, and direct influences on cardiovascular, endocrine, immune, neurosensory, and other physiological mechanisms. Moreover, individual difference variables such as trait hostility augment the impact of marital processes on biological systems. Emerging themes in the past decade include the importance of differentiating positive and negative dimensions of marital functioning, the explanatory power of behavioral data, and gender differences in the pathways from the marital relationship to physiological functioning. Contemporary models of gender that emphasize self-processes, traits, and roles furnish alternative perspectives on the differential costs and benefits of marriage for men's and women's health.
              Article 0 comments Cited 298 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Tanja Zimmermann:
                ORCID: http://orcid.org/0000-0002-5069-7278
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draft
                Martina de Zwaan: Role: Funding acquisitionRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Nina Heinrichs: Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Wen-Jun Tu: Role: Editor
                Journal
                Journal ID (nlm-ta): PLoS One
                Journal ID (iso-abbrev): PLoS ONE
                Journal ID (publisher-id): plos
                Journal ID (pmc): plosone
                Title: PLoS ONE
                Publisher: Public Library of Science (San Francisco, CA USA )
                ISSN (Electronic): 1932-6203
                Publication date (Electronic): 28 February 2019
                Publication date Collection: 2019
                Volume: 14
                Issue: 2
                Electronic Location Identifier: e0212758
                Affiliations
                [1 ] Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany
                [2 ] Department of Clinical Psychology, Psychotherapy, and Assessment, University of Braunschweig, Braunschweig, Germany
                Chinese Academy of Medical Sciences and Peking Union Medical College, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-5069-7278
                Article
                Publisher ID: PONE-D-18-18854
                DOI: 10.1371/journal.pone.0212758
                PMC ID: 6394941
                PubMed ID: 30818367
                SO-VID: 88e2385e-d687-4781-9484-2e673bd1c21c
                Copyright © © 2019 Zimmermann et al
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 23 July 2018
                Date accepted : 10 February 2019
                Page count
                Figures: 2, Tables: 2, Pages: 11
                Funding
                The authors received no specific funding for this work.
                Categories
                Subject: Research Article
                Subject: People and Places
                Subject: Population Groupings
                Subject: Ethnicities
                Subject: European People
                Subject: German People
                Subject: Biology and Life Sciences
                Subject: Psychology
                Subject: Psychometrics
                Subject: Social Sciences
                Subject: Psychology
                Subject: Psychometrics
                Subject: Research and Analysis Methods
                Subject: Mathematical and Statistical Techniques
                Subject: Statistical Methods
                Subject: Factor Analysis
                Subject: Physical Sciences
                Subject: Mathematics
                Subject: Statistics
                Subject: Statistical Methods
                Subject: Factor Analysis
                Subject: People and Places
                Subject: Population Groupings
                Subject: Age Groups
                Subject: Medicine and Health Sciences
                Subject: Mental Health and Psychiatry
                Subject: Biology and Life Sciences
                Subject: Psychology
                Subject: Emotions
                Subject: Happiness
                Subject: Social Sciences
                Subject: Psychology
                Subject: Emotions
                Subject: Happiness
                Subject: Engineering and Technology
                Subject: Structural Engineering
                Subject: Built Structures
                Subject: Physical Sciences
                Subject: Mathematics
                Subject: Algebra
                Subject: Linear Algebra
                Subject: Eigenvalues
                Custom metadata
                Data Availability All relevant data are within the paper and its Supporting Information files.

                ScienceOpen disciplines: Uncategorized
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