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  2. Quantitative research - Wikipedia

    en.wikipedia.org/wiki/Quantitative_research

    However, it has been argued that measurement often plays a more important role in quantitative research. [12] For example, Kuhn argued that within quantitative research, the results that are shown can prove to be strange. This is because accepting a theory based on results of quantitative data could prove to be a natural phenomenon.

  3. Quantification (science) - Wikipedia

    en.wikipedia.org/wiki/Quantification_(science)

    Some measure of the undisputed general importance of quantification in the natural sciences can be gleaned from the following comments: "these are mere facts, but they are quantitative facts and the basis of science." [1] It seems to be held as universally true that "the foundation of quantification is measurement." [2]

  4. Research - Wikipedia

    en.wikipedia.org/wiki/Research

    The quantitative research designs are experimental, correlational, and survey (or descriptive). [41] Statistics derived from quantitative research can be used to establish the existence of associative or causal relationships between variables. Quantitative research is linked with the philosophical and theoretical stance of positivism.

  5. Quantitative history - Wikipedia

    en.wikipedia.org/wiki/Quantitative_history

    Quantitative history is a method of historical research that uses quantitative, statistical and computer resources. It is a type of the social science history and has four major journals: Historical Methods (1967– ), [1] Journal of Interdisciplinary History (1968– ), [2] the Social Science History (1976– ), [3] and Cliodynamics: The Journal of Quantitative History and Cultural Evolution ...

  6. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    Qualitative research approaches sample size determination with a distinctive methodology that diverges from quantitative methods. Rather than relying on predetermined formulas or statistical calculations, it involves a subjective and iterative judgment throughout the research process.

  7. Why Starbucks and Amazon are drawing on philosophy to deploy ...

    www.aol.com/finance/why-starbucks-amazon-drawing...

    Good morning. As January comes to a close, there’s plenty of evidence that AI investment by major companies is set to soar this year. Take for instance tech giant Meta.

  8. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    The most important distinction between the initial data analysis phase and the main analysis phase, is that during initial data analysis one refrains from any analysis that is aimed at answering the original research question. [109] The initial data analysis phase is guided by the following four questions: [110]

  9. Explainer-What is DeepSeek and why is it disrupting the AI ...

    www.aol.com/news/explainer-deepseek-why...

    Chinese startup DeepSeek's launch of its latest AI models, which it says are on a par or better than industry-leading models in the United States at a fraction of the cost, is threatening to upset ...