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  2. Quantitative research - Wikipedia

    en.wikipedia.org/wiki/Quantitative_research

    [2] [3] [4] There are several situations where quantitative research may not be the most appropriate or effective method to use: 1. When exploring in-depth or complex topics. 2. When studying subjective experiences and personal opinions. 3. When conducting exploratory research. 4. When studying sensitive or controversial topics

  3. Vignette (survey) - Wikipedia

    en.wikipedia.org/wiki/Vignette_(survey)

    They are used in quantitative surveys or in qualitative studies that pretest surveys. Survey researchers use anchoring vignettes to correct interpersonally incomparable survey responses because respondents from different cultures, genders, countries, or ethnic groups understand survey questions in different ways.

  4. Scientometrics - Wikipedia

    en.wikipedia.org/wiki/Scientometrics

    Scientometrics is a subfield of informetrics that studies quantitative aspects of scholarly literature.Major research issues include the measurement of the impact of research papers and academic journals, the understanding of scientific citations, and the use of such measurements in policy and management contexts. [1]

  5. Methodology - Wikipedia

    en.wikipedia.org/wiki/Methodology

    Methodologies are traditionally divided into quantitative and qualitative research. Quantitative research is the main methodology of the natural sciences. It uses precise numerical measurements. Its goal is usually to find universal laws used to make predictions about future events.

  6. Social science - Wikipedia

    en.wikipedia.org/wiki/Social_science

    Examples of boundary blurring include emerging disciplines like social research of medicine, sociobiology, neuropsychology, bioeconomics and the history and sociology of science. Increasingly, quantitative research and qualitative methods are being integrated in the study of human action and its implications and consequences.

  7. Design of experiments - Wikipedia

    en.wikipedia.org/wiki/Design_of_experiments

    The use of a sequence of experiments, where the design of each may depend on the results of previous experiments, including the possible decision to stop experimenting, is within the scope of sequential analysis, a field that was pioneered [12] by Abraham Wald in the context of sequential tests of statistical hypotheses. [13]

  8. Compositional data - Wikipedia

    en.wikipedia.org/wiki/Compositional_data

    In statistics, compositional data are quantitative descriptions of the parts of some whole, conveying relative information. Mathematically, compositional data is represented by points on a simplex .

  9. Statistics - Wikipedia

    en.wikipedia.org/wiki/Statistics

    Statistical techniques are used in a wide range of types of scientific and social research, including: biostatistics, computational biology, computational sociology, network biology, social science, sociology and social research. Some fields of inquiry use applied statistics so extensively that they have specialized terminology. These ...