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  2. Content analysis - Wikipedia

    en.wikipedia.org/wiki/Content_analysis

    A further step in analysis is the distinction between dictionary-based (quantitative) approaches and qualitative approaches. Dictionary-based approaches set up a list of categories derived from the frequency list of words and control the distribution of words and their respective categories over the texts.

  3. Netnography - Wikipedia

    en.wikipedia.org/wiki/Netnography

    The methodological framework between them are not typically different, since netnography mainly use online qualitative techniques and use online quantitative research as a supplement occasionally, while digital ethnography combines both quantitative (e.g., network and co-word analysis) and qualitative (e.g., sentiment and content analysis ...

  4. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    The distinction between quantitative and categorical variables is important because the two types require different methods of visualization. Two primary types of information displays are tables and graphs. A table contains quantitative data organized into rows and columns with categorical labels. It is primarily used to look up specific values.

  5. Image analysis - Wikipedia

    en.wikipedia.org/wiki/Image_analysis

    Image analysis or imagery analysis is the extraction of meaningful information from images; mainly from digital images by means of digital image processing techniques. [1] Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face.

  6. Promoting Healthy Choices: Information vs. Convenience - HuffPost

    images.huffingtonpost.com/2012-12-21-promoting...

    contingency management (in which people are paid for improving health behaviors) found that the single most important determinant of effect size was whether behavior-contingent rewards were delivered immediately or only after a time delay (Jennifer P. Lussier et al. 2006). In the

  7. Observational techniques - Wikipedia

    en.wikipedia.org/wiki/Observational_techniques

    Observational research is a method of data collection that has become associated with qualitative research. [1] Compared with quantitative research and experimental research, observational research tends to be less reliable but often more valid [citation needed]. The main advantage of observational research is flexibility.

  8. Quantitative research - Wikipedia

    en.wikipedia.org/wiki/Quantitative_research

    Qualitative methods might be used to understand the meaning of the conclusions produced by quantitative methods. Using quantitative methods, it is possible to give precise and testable expression to qualitative ideas. This combination of quantitative and qualitative data gathering is often referred to as mixed-methods research. [14]

  9. Qualitative property - Wikipedia

    en.wikipedia.org/wiki/Qualitative_property

    Human factors, human work capital is important issue that deals with qualitative properties. Some common aspects are work, motivation, general participation, etc. Although all of these aspects are not measurable in terms of quantitative criteria, the general overview of them could be summarized as a quantitative property.