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The data may have been used in published texts and statistics elsewhere, and the data could already be promoted in the media or bring in useful personal contacts. Secondary data generally have a pre-established degree of validity and reliability which need not be re-examined by the researcher who is re-using such data. Secondary data is key in ...
Robert Kuo-zuir Yin is an American social scientist and President of COSMOS Corporation, known for his work on case study research as well as on qualitative research. [2] [3] Over the years, his work on case study research has been frequently cited.
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. The data may also be collected from sensors in the environment, including traffic cameras, satellites, recording devices, etc.
Quantitative research using statistical methods starts with the collection of data, based on the hypothesis or theory. Usually a big sample of data is collected – this would require verification, validation and recording before the analysis can take place. Software packages such as SPSS and R are typically used for this purpose. Causal ...
These data sources include interview transcripts, videos of social interactions, notes, verbal reports [8] and artifacts such as books or works of art. The case study method exemplifies qualitative researchers' preference for depth, detail, and context. [11] [12] Data triangulation is also a strategy used in qualitative research. [13]
Market research is an organized effort to gather information about target markets and customers. It involves understanding who they are and what they need. [1] It is an important component of business strategy [2] and a major factor in maintaining competitiveness.
Plymouth Routines In Multivariate Ecological Research (PRIMER) is a statistical package that is a collection of specialist univariate, multivariate, and graphical routines for analyzing species sampling data for community ecology. [1]
In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).