
Import code book hyperresearch software#
The functional simplicity and reliability of the software combined with its powerful advanced features make HyperRESEARCH an excellent tool for qualitative researchers at any level.įlexible Methodologies: HyperRESEARCH supports Case-base or Source-based qualitative methodologies or combinations.

It provides a turn-key solution by employing a built-in help system and several tutorials with step-by-step instructions. Our customers tell us that HyperRESEARCH is so easy to learn and use that it lets them focus more on their research, and minimizes the need for costly workshops and further software instruction.
Import code book hyperresearch mac os x#
You can exchange your study files and sources with other HyperRESEARCH users on your team, whether they use Mac OS X or Windows.Įasy-to-use Interface: HyperRESEARCH offers the same intuitive case-based interface on all supported platforms. The latest version incorporates features and interface design decisions inspired by years of feedback from our customers and reviewers. HyperRESEARCH has been in use by researchers in the social sciences and other fields since it was first introduced in 1991. HyperRESEARCH is a solid code-and-retrieve data analysis program, with additional theory building features provided by the Theory Builder. With its advanced multimedia capabilities, HyperRESEARCH allows you to work with text (including "rich text" and Unicode text), graphics, audio, and video sources - making it an invaluable research analysis tool. HyperRESEARCH™ enables you to code and retrieve, build theories, and conduct analyses of your data. Providers must improve understanding of intersectional experiences of TPOC to improve quality of care.Cross-Platform Qualitative Analysis Software TPOC have different experiences compared with white transgender or cisgender racial/ethnic minorities. When describing positive healthcare experiences, participants were most likely to highlight providers’ respect for their gender identity.

A minority of participants expressed a preference for providers of color but a few reported reluctance to reveal their gender identity to providers of their own race due to fear of transphobia.

A majority of participants sought out healthcare locations designated as lesbian, gay, bisexual, and transgender (LGBT)-friendly in an effort to avoid discrimination, but feared experiencing racism there. Participants commonly cited providers’ assumptions about TPOC as a pivotal factor in negative experiences. A majority of participants believed they would be treated better if they were cisgender or white. The quantitative survey data captured participants’ demographics and past healthcare experiences, and were analyzed with descriptive statistics.Īll participants described healthcare experiences where providers responded negatively to their race/ethnicity and/or gender identity. At least two reviewers independently coded each transcript using a codebook of themes created following grounded theory methodology. The interviews and focus groups were audio recorded, transcribed verbatim, and imported into HyperRESEARCH software. Interviews and focus groups covered healthcare experiences, and how these were shaped by gender identity and/or race/ethnicity. All participants completed a quantitative survey (n = 39). Semi-structured, in-depth individual interviews (n = 22) and focus groups (2 n = 17 total) all taken from a sample of TPOC from the Chicago area.

To investigate how TPOC healthcare experiences are shaped by both race/ethnicity and gender identity. However, little is known about the healthcare experiences of transgender people of color (TPOC), who are both transgender and racial/ethnic minorities. Transgender people and racial/ethnic minorities separately report poor healthcare experiences.
