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49 datasets found
  1. Q

    Data for: Improving Abortion Underreporting in the United States: A...

    • data.qdr.syr.edu
    pdf, txt, xlsx
    Updated Mar 17, 2022
  2. Q

    Data for: Cheating and Plagiarism in Higher Education Institutions (HEIs): A...

    • data.qdr.syr.edu
    pdf, tsv, txt, xlsx
    Updated Jun 1, 2024
  3. Q

    Data for: Synthesis of Findings from the Literature and a Qualitative...

    • data.qdr.syr.edu
    pdf, tsv, txt, xlsx
    Updated Apr 10, 2024
  4. Q

    Constitute: Constitutional text for scholars and​ drafters

    • data.qdr.syr.edu
    • dataverse.harvard.edu
    bin, tsv, txt
    Updated May 15, 2018
  5. Q

    Translational Research Group: Ebola 100 Project

    • data.qdr.syr.edu
    pdf, txt
    Updated Nov 1, 2023
  6. Q

    Data for: Implementation of home blood pressure monitoring among French GPs:...

    • data.qdr.syr.edu
    • search.datacite.org
    pdf, txt
    Updated Nov 1, 2023
  7. Q

    Data for: Teaching with Shared Data for Learning Qualitative Data Analysis:...

    • data.qdr.syr.edu
    pdf, txt
    Updated Jan 6, 2025
  8. Q

    Data for: Exploring sources of insecurity for Ethiopian Oromo and Somali...

    • data.qdr.syr.edu
    tsv, txt
    Updated Feb 3, 2020
    + more versions
  9. Q

    Data for: 'A Directory of Cartographic Inventors' and 'Patents and...

    • data.qdr.syr.edu
    • data.stage.qdr.org
    pdf, tsv, txt, xlsx
    Updated Nov 13, 2023
  10. Q

    Community Expert Interviews on Priority Healthcare Needs Amongst People...

    • data.qdr.syr.edu
    pdf, txt
    Updated Nov 10, 2023
  11. Q

    Problem-Solving Courts, Street Level Bureaucrats, and Clients as Policy...

    • data.qdr.syr.edu
    • datacatalog.hshsl.umaryland.edu
    pdf, txt
    Updated Nov 1, 2023
  12. Q

    Data from: Exploring the Acceptability of a Community-Enhanced Intervention...

    • data.qdr.syr.edu
    pdf, txt
    Updated Jun 30, 2024
  13. Q

    Data for: Debating Algorithmic Fairness

    • data.qdr.syr.edu
    • dataverse.harvard.edu
    Updated Nov 13, 2023
  14. Q

    Access in Higher Education: A Document Collection

    • data.qdr.syr.edu
    pdf, tsv, txt
    Updated Dec 22, 2023
  15. Q

    Data for: The Pandemic Journaling Project, Phase One (PJP-1)

    • data.qdr.syr.edu
    3gp +22
    Updated Feb 15, 2024
  16. Q

    Data for “Registered nurses’ perceptions of family caregivers to patients...

    • data.qdr.syr.edu
    pdf, txt
    Updated Nov 1, 2023
  17. Q

    Demand for Modern Contraception in Sub-Saharan Africa: New Methods, New...

    • data.qdr.syr.edu
    pdf, txt
    Updated Aug 1, 2024
  18. Q

    British Cold War Documents

    • data.qdr.syr.edu
    pdf, tsv, txt
    Updated Apr 7, 2020
    + more versions
  19. Q

    Data for: 'Chronic disease stigma, skepticism of the health system, and...

    • data.qdr.syr.edu
    pdf, tsv, txt
    Updated Nov 1, 2023
  20. Q

    Data for: The unstoppable glottal: Tracking rapid change in an iconic...

    • data.qdr.syr.edu
    • eprints.soton.ac.uk
    Updated Feb 7, 2019
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Jennifer Mueller; Jennifer Mueller; Marielle Kirstein; Marielle Kirstein; Alicia VandeVusse; Alicia VandeVusse; Laura Lindberg; Laura Lindberg (2022). Data for: Improving Abortion Underreporting in the United States: A Cognitive Interview Study [Dataset]. http://doi.org/10.5064/F6V5VGX3

Data for: Improving Abortion Underreporting in the United States: A Cognitive Interview Study

Related Article
Explore at:
pdf(226100), txt(9537), pdf(891986), xlsx(18329), txt(0), pdf(129587), pdf(627327), pdf(211143), pdf(227696), pdf(265966), pdf(203483), pdf(101368)Available download formats
Dataset updated
Mar 17, 2022
Dataset provided by
Qualitative Data Repository
Authors
Jennifer Mueller; Jennifer Mueller; Marielle Kirstein; Marielle Kirstein; Alicia VandeVusse; Alicia VandeVusse; Laura Lindberg; Laura Lindberg
License

https://qdr.syr.edu/policies/qdr-restricted-access-conditionshttps://qdr.syr.edu/policies/qdr-restricted-access-conditions

Area covered
United States, United States
Dataset funded by
Eunice Kennedy Shriver National Institute Of Child Health & Human Development of the National Institutes of Health
Description

Project Summary: The purpose of this study was to inform experimental testing of new approaches for measuring abortion in surveys in the United States, by improving our understanding of how women interpret and respond to survey items asking them to report their abortion history. Using cognitive interviews, we developed, tested, and evaluated various question wordings, as well as conducted card sort and vignette activities to further discern how participants’ understand and classify abortion. We aimed to test questions to clarify which experiences to report as an abortion; reduce the stigma and sensitivity of abortion; reduce the sense of intrusiveness of asking about abortion; or increase the motivation to report. Question wordings were newly developed or modified versions of existing survey questions. Results from the cognitive interviews were used to develop an experimental survey to further explore how to improve the accuracy of abortion reporting. Research reported in this publication was supported by the Eunice Kennedy Shriver National Institute Of Child Health & Human Development of the National Institutes of Health under Award Number R01HD084473. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Data Overview: We conducted cognitive interviews with 64 cisgender women in suburban Wisconsin (N=35) in January 2020 and urban New Jersey (N=29) in February 2020. We selected the two study states because of differences in abortion climate and to avoid geographically-specific findings. Participants were recruited to participate in an interview on sexual and reproductive health (SRH) by a third-party recruiting agency. Eligible participants were between the ages of 18 and 49, assigned female at birth, identified as women, spoke English, lived in Wisconsin or New Jersey, and had ever had penile-vaginal sex. Additionally, respondents were asked if they ever had an abortion during the screening process. The decision to include women with various abortion histories was deliberate. We sought to include respondents who may not have disclosed their abortion during the screening process and wanted feedback from all women of reproductive age, as that is the target sample of the experimental survey. We included feedback from both groups of respondents and highlighted their differences when applicable. The study was reviewed and approved by the Guttmacher Institute’s Institutional Review Board. Interviews lasted about 60-90 minutes and were conducted in private rooms at conference and market research locations by two members of the research team (AV and JM; see Interviewer Identities document). Interviews were audio recorded. We obtained verbal consent from all study participants, and they completed a short sociodemographic questionnaire at the end of the interview. Participants received $150 cash as a token of appreciation for their time. Sixteen respondents demonstrated accurate understanding of data sharing and consented to having their data be publicly shared; therefore, these are the only transcripts made available here. Data Collection Overview: The cognitive interview included several sections. In the first section, we asked participants to respond to and provide feedback on various versions of questions about their abortion history. In this section, they disclosed their abortion history directly to the interviewer. In the second section, we asked participants to provide feedback on several different introductory text options that might come before a question about their abortion history. In the third section, we asked participants more general questions about how they would prefer to be asked about whether they’d had an abortion on a survey, as well as their definition of abortion and why some people may choose not to disclose their abortion history. In sections 4 and 5, we conducted a card sort activity and went through a series of vignettes to further discern participants’ understanding and classification of abortion. Each interview was digitally audio recorded (.mp3). The audio recordings were uploaded from the devices to a folder on the Guttmacher network. The audio recordings will be uploaded to the secure, password-protected servers of the professional transcription agency, Datalyst LLC., for transcription. The audio recordings were deleted from the Datalyst servers upon completion of transcription and certification by Guttmacher staff that transcription was accurate/complete. Transcripts were cleaned by one of two team members; during this process, they also removed any potentially identifying information. Audio recordings were deleted from the devices at the end of data collection. The interviewer electronically wrote up immediate thoughts and impressions post-interview in memos (.docx) using a predetermined memo shell that mirrored the major sections of the interview guide. At the end...

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