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  2. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

  3. Thematic analysis - Wikipedia

    en.wikipedia.org/wiki/Thematic_analysis

    Coding reliability [4] [2] approaches have the longest history and are often little different from qualitative content analysis. As the name suggests they prioritise the measurement of coding reliability through the use of structured and fixed code books, the use of multiple coders who work independently to apply the code book to the data, the measurement of inter-rater reliability or inter ...

  4. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."

  5. Research - Wikipedia

    en.wikipedia.org/wiki/Research

    The instruments used for data collection must be valid and reliable. Analysis of data: Involves breaking down the individual pieces of data to draw conclusions about it. Data Interpretation: This can be represented through tables, figures, and pictures, and then described in words. Test, revising of hypothesis; Conclusion, reiteration if necessary

  6. Empirical research - Wikipedia

    en.wikipedia.org/wiki/Empirical_research

    Accurate analysis of data using standardized statistical methods in scientific studies is critical to determining the validity of empirical research. Statistical formulas such as regression, uncertainty coefficient, t-test, chi square, and various types of ANOVA (analyses of variance) are fundamental to forming logical, valid conclusions.

  7. Quantitative research - Wikipedia

    en.wikipedia.org/wiki/Quantitative_research

    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 ...

  8. E-Theses Online Service - Wikipedia

    en.wikipedia.org/wiki/E-Theses_Online_Service

    Germaine Greer's 1968 thesis The ethic of love and marriage in Shakespeare's early comedies is indexed by EThOS. [16] Brian Cox's 1998 thesis Double diffraction dissociation at large momentum transfer [17] is indexed by EThOS. EThOS records thesis data and metadata which can then be searched with basic [4] and advanced search terms. [18]

  9. Methodology - Wikipedia

    en.wikipedia.org/wiki/Methodology

    Statistics investigates the analysis, interpretation, and presentation of data. It plays a central role in many forms of quantitative research that have to deal with the data of many observations and measurements. In such cases, data analysis is used to cleanse, transform, and model the data to arrive at practically useful conclusions. There ...