HyperRESEARCH is a qualitative data analysis software designed to assist researchers in analyzing and interpreting qualitative data. It is commonly used in social sciences, psychology, education, and other fields where qualitative research methods are employed.
Some key features of HyperRESEARCH include:
- Data organization: HyperRESEARCH allows researchers to organize qualitative data like field notes, interview transcripts, and other textual data.
- Coding: The software facilitates the coding process, where researchers assign labels or codes to specific data segments. This helps identify patterns, themes, and relationships within the qualitative data.
- Data retrieval: Researchers can retrieve coded segments and analyze them collectively, enabling a more comprehensive understanding of the data.
- Annotation: HyperRESEARCH provides tools for annotating data, allowing researchers to add comments, notes, and reflections directly to the coded segments.
- Inter-rater reliability: The software often includes features for assessing inter-rater reliability, which ensures consistency in coding when multiple researchers are involved.
- Reporting and visualization: HyperRESEARCH offers tools for generating reports and visualizations, making it easier for researchers to communicate their findings.
HyperRESEARCH is a versatile software for handling qualitative data across disciplines and research contexts. Researchers can adapt the software to their needs to gain meaningful insights from qualitative information.
List of recommended resources #
For a broad overview #
This presentation slide by Kristan Avis gives a brief overview of the qualitative data analysis software HyperRESEARCH, along with a demo and its various applications.
This video tutorial on YouTube by Researchware gives an introductory overview on the use of HyperRESEARCH to conduct qualitative analysis. The webinar details about the preparation of data in advance of coding, the variety of methodologies and techniques for organizing codes using HyperRESEARCH and many more tips for using the software.
For in depth understanding #
This article by Sharlene Hesse-Biber, Paul Dupuis & T. Scott Kinder, published in the book Qualitative Sociology, describes the data analysis software HyperRESEARCH and how it supports important advances in the validation, reliability and generalizability of qualitative data analysis.
Written by Christina Silver and Ann Lewins, this book provides an essential introduction to the practice and principles of Computer Assisted Qualitative Data Analysis (CAQDAS). Some of the major software programs discussed by Silver and Lewins include ATLAS.ti, DEDOOSE, HyperRESEARCH, MAXQDA, NVivo etc.
Case study #
This study by Susan H. Frost and Daniel Teodorescu examines faculty views in regard to support for teaching at Emory University. The data is analyzed using HyperRESEARCH software to generate detailed reports on frequencies of categories, subcategories, and Boolean combinations of these.
This article investigates how TPOC healthcare experiences are shaped by both race/ethnicity and gender identity. The interviews and focus groups conducted were audio recorded, transcribed verbatim, and imported into HyperRESEARCH software for data analysis.