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After the interview, Transcribing must occur for the interview material to be prepared for analysis. The next stage is Analyzing, where decisions on made on the purpose, the topic, the nature and the appropriateness of the analysis methods. Verifying is a post-analysis step to ascertain the validity of the interview findings.
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]
A central idea or topic is typically chosen before beginning an unstructured interview. Because the interview is occurring as a way of collecting data, it is also typical for the interviewer to gather knowledge of his or her respondent, whether that is about their career, studies, or work, as a place to start and continue the conversation.
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i2 Analyst's Notebook is a software product from i2 Group for data analysis. Based on ELP (entity-link-property) methodology, it reveals relationships between data entities to discover patterns and provide insight into data. It is commonly used by digital analysts at law enforcement, military and other government intelligence agencies, and by ...
A structured interview (also known as a standardized interview or a researcher-administered survey) is a quantitative research method commonly employed in survey research. The aim of this approach is to ensure that each interview is presented with exactly the same questions in the same order. This ensures that answers can be reliably aggregated ...
Whether financial data can be considered a random walk is a venerable and challenging question. One of two possible results are obtained, the data does fall under random walk or the data does not. To investigate whether observed data follows a random walk, some methods or approaches have been proposed, for example, the variance ratio (VR) tests ...