Search results
Results from the WOW.Com Content Network
Narrative is a powerful tool in the transfer, or sharing, of knowledge, one that is bound to cognitive issues of memory, constructed memory, and perceived memory. Jerome Bruner discusses this issue in his 1990 book, Acts of Meaning, where he considers the narrative form as a non-neutral rhetorical account that aims at "illocutionary intentions", or the desire to communicate meaning. [10]
Computer-assisted (or aided) qualitative data analysis software (CAQDAS) offers tools that assist with qualitative research such as transcription analysis, coding and text interpretation, recursive abstraction, content analysis, discourse analysis, [1] grounded theory methodology, etc.
The analytic narrative approach is most attractive to scholars who seek to evaluate the strength of parsimonious causal mechanisms in the context of a specific and often unique case. The requirement of explicit formal theorizing (or at least theory that could be formalized) compels scholars to make causal statements and to identify a small ...
Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.
The Qualitative Data Analysis Program (QDAP) was founded in 2005 at the University of Pittsburgh in the University Center for Social and Urban Research. QDAP is a fee-for-service research laboratory that develops software and methods to support multi-coder annotation projects. In 2008, QDAP-UMass was opened at the University of Massachusetts ...
Coding reliability [4] [2] approaches have the longest history and are often little different from qualitative content analysis. As the name suggests they prioritise the measurement of coding reliability through the use of structured and fixed code books, the use of multiple coders who work independently to apply the code book to the data, the measurement of inter-rater reliability or inter ...
Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines, or bars) contained in graphics. The goal is to communicate information clearly and efficiently to users. It is one of the steps in data analysis or data science. According to Vitaly Friedman (2008) the "main ...
Biographical research does not use a single method for data analysis. The most commonly used methods for data construction in biographical research is the biographical narrative interview (see Fritz Schütze [8]) and/or open interviews. Many use content analysis to analyze the biographical data.