qualitative data


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qualitative data

Data that are non-numeric, such as colors, images and descriptions. Qualitative data are harder to analyze than quantitative data, which are numeric quantities. See qualitative.
References in periodicals archive ?
This example illustrates a characteristic of qualitative data that many researchers are quick to point out: Changing any dimension of a qualitative dataset inherently weakens the data.
For example, initial quantitative findings may influence the focus and kinds of qualitative data that are being collected or vice versa.
Aristotle is Quester's proprietary text analytics engine launched in conjunction with Socrates to identify key themes and ideas found in large volumes of qualitative data sets.
Finally, analysis of qualitative data requires some degree of abstraction or generalization as patterns are identified in the data and related to larger constructs or theories.
Equal emphasis is given to quantitative and qualitative data analysis with real examples that make statistics and concepts in qualitative analysis unintimidating.
In a mixed research synthesis, reviewers treat each relevant article as data that generate both qualitative and quantitative information, yielding analyses of quantitative and qualitative data, and metainferences (i.e., inferences from qualitative and quantitative data being integrated into a coherent whole).
The main methods of collecting qualitative data are in-depth interviews, focus groups, observation and open-ended questions in questionnaires.
An outside research and statistical data company, under the guidance of Training magazine, developed the Top 125 list by scoring companies based on quantitative and qualitative data supplied by applicants, including best training practices, evaluation methods and outstanding training initiatives.
The prospect of the digital archiving of qualitative data for re-use and analysis by other researchers is now a distinct reality in Australia following the development of similar facilities in the UK, the US and Finland.
The second part, focusing on data analysis, explores statistics and includes an innovative chapter on qualitative data. Each chapter begins with a chapter map, overview, and list of key concepts, and concludes with summaries, extension activities, and references for further reading.
This method is an application of grounded theory (Glaser & Strauss, 1967) that brings structure to qualitative data and allows for the generating of hypotheses.

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