Ads
related to: narrative data analysis steps and procedures
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]
Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data." [3]
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 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]
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 ...
This approach provides two methods for establishing the generalizability of the theory. First, the model in an analytic narrative often affords a range of explanations and predictions. Although the main account of a unique case may not be testable, the model may yield other predictions that can be tested, either in this case or in other cases.
Conversation analysis (CA) is an approach to the study of social interaction that investigates the methods members use to achieve mutual understanding through the transcription of naturally occurring conversations from audio or video. [1]
Through these similarities they have defended the applicability of network methods for the analysis of historical data contained in texts. Roberto Franzosi, [6] and Bearman and Stovel [7] have offered modelling techniques for narrative networks by focusing on the sequence of events. These authors have visualised the story time by connecting the ...
Ads
related to: narrative data analysis steps and procedures