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  2. Quantitative research - Wikipedia

    en.wikipedia.org/wiki/Quantitative_research

    Quantitative research is generally closely affiliated with ideas from 'the scientific method', which can include: The generation of models, theories and hypotheses; The development of instruments and methods for measurement; Experimental control and manipulation of variables; Collection of empirical data; Modeling and analysis of data

  3. Quantitative analysis - Wikipedia

    en.wikipedia.org/wiki/Quantitative_analysis

    Quantitative analysis of behavior, quantitative models in the experimental analysis of behavior; Mathematical psychology, an approach to psychological research using mathematical modeling of perceptual, cognitive and motor processes; Statistics, the collection, organization, analysis, interpretation and presentation of data

  4. List of analyses of categorical data - Wikipedia

    en.wikipedia.org/wiki/List_of_analyses_of...

    Categorical distribution, general model; Chi-squared test; Cochran–Armitage test for trend; Cochran–Mantel–Haenszel statistics; Correspondence analysis; Cronbach's alpha; Diagnostic odds ratio; G-test; Generalized estimating equations; Generalized linear models; Krichevsky–Trofimov estimator; Kuder–Richardson Formula 20; Linear ...

  5. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data analysis is the process ... extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive ...

  6. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Exploratory data analysis is an analysis technique to analyze and investigate the data set and summarize the main characteristics of the dataset. Main advantage of EDA is providing the data visualization of data after conducting the analysis.

  7. Multilevel model - Wikipedia

    en.wikipedia.org/wiki/Multilevel_model

    Multilevel models are particularly appropriate for research designs where data for participants are organized at more than one level (i.e., nested data). [2] The units of analysis are usually individuals (at a lower level) who are nested within contextual/aggregate units (at a higher level). [3]