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While making sense of qualitative data must allow for the occasionally frustrating nature of emerging data, HyperRESEARCH made this method of data analysis a more manageable, coherent, and organized process. I could not imagine trying to sort qualitative data without HyperRESEARCH, and recommend it highly.


'HyperRESEARCH', Journal of Technology in Human Services, 25: 4, 109 — 113
Reviewer: Karen Zgoda, MSW, LCSW, Boston College


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HyperRESEARCH was first developed in 1990 by Dr. Sharlene Hesse-Biber, T. Scott Kinder, and Paul Dupuis. At the time, there were few CAQDAS (Computer-Aided Qualitative Data Analysis Software) programs available, and none that met Dr. Hesse-Biber's needs. The three teamed up to develop a program that would meet Dr. Hesse-Biber's needs. ResearchWare, Inc. was incoroprated in 1991 to allow HyperRESEARCH to become a commercial product available to other researchers.

Since then, HyperRESEARCH has grown through several versions, expanding and improving in response to user feedback.

Demonstrating our commitment to our customers, we deliver many free upgrades to our products, not just maintenance releases but versions with new features as well.

ResearchWare remains committed to continued development and improvement of HyperRESEARCH, HyperTRANSCRIBE, and other tools supporting qualitative data analysis. Our goal is to retain the user-friendly design and ease of use that reduces the learning curve for researchers just starting out with CAQDAS programs, while continuing to expand and improve the features and capabilities of HyperRESEARCH.

Last Updated (Friday, 24 July 2009 13:48)

 
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In The News
HyperRESEARCH analyzes the Green IT Practices of major electronics companies

In the paper "The Green IT Practices of Nokia, Samsung, Sony, and Sony Ericsson: Content Analysis Approach" by Yulia Wati (Chosun University, yuliawati@gmail.com) and Chulmo Koo (Chosun University, helmetgu@gmail.com) from the "Proceedings of the 43rd Hawaii International Conference on System Sciences - 2010," HyperRESEARCH shows off the power of its unique theory building feature.

From its abstract, the paper discusses: "The challenge of responding to the environmental issues has changed many aspects of the ways businesses operate, and this is particularly true of electronics companies. “Going green” in the IT industry is proving a major challenge, as significant shifts in thinking are needed to secure the benefits associated with being green. Using a content analysis method, we have investigated and expanded the concept of Green IT, as implemented by four major electronic companies. By analyzing these companies’ environmental reports, we have established a set of theoretical concepts of Green IT, driven by companies’ practical implementations. We proposed nine propositions outlining the theoretical implications. Additionally, our analysis demonstrated that the principal focus of electronic companies is green disposal practices, followed by energy efficiency efforts. We also concluded that regulations and policies coupled with heightened awareness and environmental responsibility on the part of the company can encourage Green IT innovation. This paper also provides a discussion of the results and of the contributions made by this research."

The Hypothesis Tester feature of HyperRESEARCH enables researchers to formally describe the hypotheses of their research study and iteratively test one or more hypotheses against their current coding. This feature enables quick assessment of whether key concepts were either not present in coded sources, were overlooked by the coder, or whether further review and coding of the source material is needed. See the full paper here.

 

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