1/31/2024 0 Comments Hyperresearch alternative![]() The codes being used in the study are shown in the code book window. This is achieved by ensuring that the relevant case is showing in the study window when the source is being coded. Therefore, the contents of a source are not assigned to a case until a segment of it has been coded. A source document is only opened within the program it is not imported. The study window lists the coding associated with each case rather than sources, though the listing does show to which source the coding has been applied. This is a distinctive feature of HyperRESEARCH compared with other CAQDAS programs. ![]() The code categorizes the case however, it is always possible to inspect the source segment or segments on the basis of which the case has been categorized. In this sense, the type of coding is closer to the quantitative categorization of cases using values like male, female, aged 20–25 years, and so on. In most CAQDAS programs, coding just means that a segment or several segments of the source are labeled with a tag, whereas in HyperRESEARCH coding also means that the whole case is labeled with that tag. This assignment of sources to cases is key in the form of analysis supported by HyperRESEARCH, as coding retrieval, filtering, and hypothesis testing all operate at the level of the case. But cases may also be places (e.g., several different schools in an educational study) or events (e.g., a number of elections in a political study). In social research, cases are commonly people and associated sources might be one or more interview transcripts, video of a focus group they were a member of, and their photograph and other relevant pictures. When planning a new study, the researcher must first define a set of cases because when coding is undertaken, the sources will be assigned to one or more of these cases. Once coding has been started, these files should not be edited. These include text files and Word docx files, images, videos, and audio recordings. All these elements of a project are combined into a file called a study.Ī range of different source files may be used and the computer files for these are stored separately from the study file. The distinctive feature of HyperRESEARCH is that data organization, coding, retrieval, and hypothesis testing analysis are based around a case-based structure. It is now developed using a programming language called Transcript (on the LiveCode software platform) that provides cross-platform development across Windows, Linux, Mac OS, Web, and various mobile operating systems, and it appears that it will maintain the program’s multiplatform support. Unlike most programs that soon supported only Windows versions, HyperRESEARCH has always been available in almost identical Windows and Macintosh versions. Most software at the time was designed to run under MS-DOS on PCs, but some ran on a Macintosh and some (such as HyperRESEARCH and NUD.IST) ran on both a Macintosh and PC. In 1991, they incorporated a company, Researchware, to sell, develop, and market the program. HyperRESEARCH was one of the earliest programs of the theory builder type when it was developed in 1990 by Sharlene Hesse-Biber, T. These programs became known as theory builders. Many of these focused on developing the idea of retrievals in more complex ways by, for example, linking together one set of coding with others in a variety of logical ways. Soon, some started to develop further functionalities to help the researcher. Many of the programs written in the early 1990s supported these code and retrieve functions. After developing a number of codes and applying them to the data by coding it, the researcher would retrieve all data coded to each code in turn and analyze it by identifying key ideas, patterns, and concepts in it. A key to this was the idea of coding data, that is, assigning tags or code names to passages of text (or other segments of data). These programs drew their inspiration from writers such as Barney Glaser and Anselm Strauss, and Patricia Hentz Becker, who tried to formulate clear guidelines about how a qualitative analysis of data should be undertaken. In the early 1990s, teams of academicians and programmers from several European countries, Australia, and North America began developing a new type of software for textual analysis that, following the networking activities undertaken by Nigel Fielding and Raymond Lee, came to be known as computer assisted qualitative data analysis (CAQDAS) programs. Up until the 1990s, software that dealt with textual data, of which the earliest was General Inquirer, focused on quantitative analysis and provided tools like keyword in context and concordance generation to support a content analysis of the data.
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