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      My Sister’s Keeper: Survivors Disclosing Sexual Violence to a Sibling

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          Abstract

          Siblings are often cited as a source of support throughout life, but they have not been included in studies of sexual violence disclosure. Survivors of sexual violence often delay or do not disclose their sexual violence. The current study investigated if and why survivors of sexual violence decided to disclose to their sibling. This qualitative investigation included 10 female participants, of which six had disclosed their abuse to their sibling. The participants ranged in age from 20 to 58, five identified as Hispanic, one as Hispanic and White three identified as White, and one identified as Middle Eastern. Thematic analysis was used to examine the data. Three major themes were identified that affected sibling disclosure decisions: sibling dynamics, perceived and real reactions to disclosure, and words of advice. The findings from this study demonstrate the continued need to investigate siblings and their role in disclosure of sexual violence. Practitioners may also want to examine the sibling relationship as a source of support for survivors of sexual violence. Finally, as policies continue to develop around support of survivors of sexual violence, inclusion of siblings in family policies, outreach centers, and counseling services may be beneficial.

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          Using thematic analysis in psychology

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            Sample Size in Qualitative Interview Studies: Guided by Information Power

            Sample sizes must be ascertained in qualitative studies like in quantitative studies but not by the same means. The prevailing concept for sample size in qualitative studies is "saturation." Saturation is closely tied to a specific methodology, and the term is inconsistently applied. We propose the concept "information power" to guide adequate sample size for qualitative studies. Information power indicates that the more information the sample holds, relevant for the actual study, the lower amount of participants is needed. We suggest that the size of a sample with sufficient information power depends on (a) the aim of the study, (b) sample specificity, (c) use of established theory, (d) quality of dialogue, and (e) analysis strategy. We present a model where these elements of information and their relevant dimensions are related to information power. Application of this model in the planning and during data collection of a qualitative study is discussed.
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              Member Checking

              The trustworthiness of results is the bedrock of high quality qualitative research. Member checking, also known as participant or respondent validation, is a technique for exploring the credibility of results. Data or results are returned to participants to check for accuracy and resonance with their experiences. Member checking is often mentioned as one in a list of validation techniques. This simplistic reporting might not acknowledge the value of using the method, nor its juxtaposition with the interpretative stance of qualitative research. In this commentary, we critique how member checking has been used in published research, before describing and evaluating an innovative in-depth member checking technique, Synthesized Member Checking. The method was used in a study with patients diagnosed with melanoma. Synthesized Member Checking addresses the co-constructed nature of knowledge by providing participants with the opportunity to engage with, and add to, interview and interpreted data, several months after their semi-structured interview.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Journal of Interpersonal Violence
                J Interpers Violence
                SAGE Publications
                0886-2605
                1552-6518
                October 2022
                September 14 2021
                October 2022
                : 37
                : 19-20
                : NP19106-NP19131
                Affiliations
                [1 ] Miami University, Oxford, OH, USA
                [2 ] Montclair State University, Montclair, NJ, USA
                Article
                10.1177/08862605211043581
                f7d54f3b-f288-49f3-8ad5-ac99b8c9a9b9
                © 2022

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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