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  2. Qualitative research - Wikipedia

    en.wikipedia.org/wiki/Qualitative_research

    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 characteristics of the qualitative data are reduced or, even, lost. [citation needed]

  3. Factor analysis of mixed data - Wikipedia

    en.wikipedia.org/wiki/Factor_analysis_of_mixed_data

    The data include quantitative variables =, …, and qualitative variables =, …,.. is a quantitative variable. We note: . (,) the correlation coefficient between variables and ;; (,) the squared correlation ratio between variables and .; In the PCA of , we look for the function on (a function on assigns a value to each individual, it is the case for initial variables and principal components ...

  4. Marketing research - Wikipedia

    en.wikipedia.org/wiki/Marketing_research

    Marketing research is the systematic gathering, recording, and analysis of qualitative and quantitative data about issues relating to marketing products and services. The goal is to identify and assess how changing elements of the marketing mix impacts customer behavior.

  5. Quantitative research - Wikipedia

    en.wikipedia.org/wiki/Quantitative_research

    Qualitative methods might be used to understand the meaning of the conclusions produced by quantitative methods. Using quantitative methods, it is possible to give precise and testable expression to qualitative ideas. This combination of quantitative and qualitative data gathering is often referred to as mixed-methods research. [14]

  6. Content analysis - Wikipedia

    en.wikipedia.org/wiki/Content_analysis

    The data collection instrument used in content analysis is the codebook or coding scheme. In qualitative content analysis the codebook is constructed and improved during coding, while in quantitative content analysis the codebook needs to be developed and pretested for reliability and validity before coding. [4]

  7. Data quality - Wikipedia

    en.wikipedia.org/wiki/Data_quality

    Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning ".

  8. Research question - Wikipedia

    en.wikipedia.org/wiki/Research_question

    Choosing a research question is an essential element of both quantitative and qualitative research. Investigation will require data collection and analysis, and the methodology for this will vary widely. Good research questions seek to improve knowledge on an important topic, and are usually narrow and specific. [1]

  9. Data collection - Wikipedia

    en.wikipedia.org/wiki/Data_collection

    Regardless of the field of or preference for defining data (quantitative or qualitative), accurate data collection is essential to maintain research integrity. The selection of appropriate data collection instruments (existing, modified, or newly developed) and delineated instructions for their correct use reduce the likelihood of errors.