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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]
According to Krippendorf, [34] "Content analysis is a research technique for making replicable and valid inference from data to their context" (p. 21). It is applied to documents and written and oral communication. Content analysis is an important building block in the conceptual analysis of qualitative data. It is frequently used in sociology.
Narratives thus lie at the foundations of our cognitive procedures and also provide an explanatory framework for the social sciences, particularly when it is difficult to assemble enough cases to permit statistical analysis. Narrative is often used in case study research in the social sciences. Here it has been found that the dense, contextual ...
Temporal-contextual (e.g., time elapsed after the triggering event). [10] Erving Goffman emphasized the role of cultural context as a shaper of frames when he posited that the meaning of a frame has implicit cultural roots. [2] This context dependency of media frames has been described as 'cultural resonance' [11] or 'narrative fidelity'. [12]
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.
Thematic analysis provides a flexible method of data analysis and allows for researchers with various methodological backgrounds to engage in this type of analysis. [1] For positivists, 'reliability' is a concern because of the numerous potential interpretations of data possible and the potential for researcher subjectivity to 'bias' or distort ...
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
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 ...