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  2. Data collection - Wikipedia

    en.wikipedia.org/wiki/Data_collection

    Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, [2] and business ...

  3. Focus group - Wikipedia

    en.wikipedia.org/wiki/Focus_group

    Focus groups have several advantages for collecting qualitative research data. Focus group research can be used purely as a qualitative method or in combination with quantitative methods. Qualitative data collected in focus groups can help researchers decide what kinds of items to include in surveys.

  4. Survey data collection - Wikipedia

    en.wikipedia.org/wiki/Survey_data_collection

    These devices offer innovative ways to gather data, and eliminate the laborious "data entry" (of paper form data into a computer), which delays data analysis and understanding. By eliminating paper, mobile data collection can also dramatically reduce costs: one World Bank study in Guatemala found a 71% decrease in cost while using mobile data ...

  5. Qualitative research - Wikipedia

    en.wikipedia.org/wiki/Qualitative_research

    Common qualitative data analysis software includes: ATLAS.ti; Dedoose (mixed methods) MAXQDA (mixed methods) NVivo; QDA MINER; A criticism of quantitative coding approaches is that such coding sorts qualitative data into predefined categories that are reflective of the categories found in objective science. The variety, richness, and individual ...

  6. Accounting research - Wikipedia

    en.wikipedia.org/wiki/Accounting_research

    Accounting research is carried out both by academic researchers and by practicing accountants.Academic accounting research addresses all areas of the accounting profession, and examines issues using the scientific method; it uses evidence from a wide variety of sources, including financial information, experiments, computer simulations, interviews, surveys, historical records, and ethnography.

  7. Exploratory factor analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_factor_analysis

    Exploratory Factor Analysis Model. In multivariate statistics, exploratory factor analysis (EFA) is a statistical method used to uncover the underlying structure of a relatively large set of variables. EFA is a technique within factor analysis whose overarching goal is to identify the underlying relationships between measured variables. [1]

  8. Financial analysis - Wikipedia

    en.wikipedia.org/wiki/Financial_analysis

    A ratio's values may be distorted as account balances change from the beginning to the end of an accounting period. Use average values for such accounts whenever possible. Financial ratios are no more objective than the accounting methods employed. Changes in accounting policies or choices can yield drastically different ratio values. [6]

  9. Multiple factor analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_factor_analysis

    Multiple factor analysis (MFA) is a factorial method [1] devoted to the study of tables in which a group of individuals is described by a set of variables (quantitative and / or qualitative) structured in groups.

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