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      Transgender and gender-diverse (TGD) individuals’ perspectives on research seeking genetic variants associated with TGD identities: a qualitative study

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          A Coefficient of Agreement for Nominal Scales

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            Saturation in qualitative research: exploring its conceptualization and operationalization

            Saturation has attained widespread acceptance as a methodological principle in qualitative research. It is commonly taken to indicate that, on the basis of the data that have been collected or analysed hitherto, further data collection and/or analysis are unnecessary. However, there appears to be uncertainty as to how saturation should be conceptualized, and inconsistencies in its use. In this paper, we look to clarify the nature, purposes and uses of saturation, and in doing so add to theoretical debate on the role of saturation across different methodologies. We identify four distinct approaches to saturation, which differ in terms of the extent to which an inductive or a deductive logic is adopted, and the relative emphasis on data collection, data analysis, and theorizing. We explore the purposes saturation might serve in relation to these different approaches, and the implications for how and when saturation will be sought. In examining these issues, we highlight the uncertain logic underlying saturation—as essentially a predictive statement about the unobserved based on the observed, a judgement that, we argue, results in equivocation, and may in part explain the confusion surrounding its use. We conclude that saturation should be operationalized in a way that is consistent with the research question(s), and the theoretical position and analytic framework adopted, but also that there should be some limit to its scope, so as not to risk saturation losing its coherence and potency if its conceptualization and uses are stretched too widely.
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              Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: conceptual issues and research evidence.

              Ilan Meyer (2003)
              In this article the author reviews research evidence on the prevalence of mental disorders in lesbians, gay men, and bisexuals (LGBs) and shows, using meta-analyses, that LGBs have a higher prevalence of mental disorders than heterosexuals. The author offers a conceptual framework for understanding this excess in prevalence of disorder in terms of minority stress--explaining that stigma, prejudice, and discrimination create a hostile and stressful social environment that causes mental health problems. The model describes stress processes, including the experience of prejudice events, expectations of rejection, hiding and concealing, internalized homophobia, and ameliorative coping processes. This conceptual framework is the basis for the review of research evidence, suggestions for future research directions, and exploration of public policy implications.
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                Author and article information

                Contributors
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                Journal
                Journal of Community Genetics
                J Community Genet
                Springer Science and Business Media LLC
                1868-310X
                1868-6001
                February 2022
                October 12 2021
                February 2022
                : 13
                : 1
                : 31-48
                Article
                10.1007/s12687-021-00554-z
                34637070
                4db2a18d-b48b-4871-82a4-955fc3075293
                © 2022

                https://www.springer.com/tdm

                https://www.springer.com/tdm

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