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  2. Questionnaire construction - Wikipedia

    en.wikipedia.org/wiki/Questionnaire_construction

    Questionnaires are frequently used in quantitative marketing research and social research. They are a valuable method of collecting a wide range of information from a large number of individuals, often referred to as respondents. What is often referred to as "adequate questionnaire construction" is critical to the success of a survey ...

  3. Quantitative research - Wikipedia

    en.wikipedia.org/wiki/Quantitative_research

    Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. [1] It is formed from a deductive approach where emphasis is placed on the testing of theory, shaped by empiricist and positivist philosophies.

  4. Questionnaire - Wikipedia

    en.wikipedia.org/wiki/Questionnaire

    A questionnaire is a research instrument that consists of a set of questions (or other types of prompts) for the purpose of gathering information from respondents through survey or statistical study. A research questionnaire is typically a mix of close-ended questions and open-ended questions.

  5. Survey methodology - Wikipedia

    en.wikipedia.org/wiki/Survey_methodology

    Survey methodology is "the study of survey methods". [1] As a field of applied statistics concentrating on human-research surveys, survey methodology studies the sampling of individual units from a population and associated techniques of survey data collection, such as questionnaire construction and methods for improving the number and accuracy of responses to surveys.

  6. External validity - Wikipedia

    en.wikipedia.org/wiki/External_validity

    External validity is the validity of applying the conclusions of a scientific study outside the context of that study. [1] In other words, it is the extent to which the results of a study can generalize or transport to other situations, people, stimuli, and times.

  7. 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 .

  8. Dummy variable (statistics) - Wikipedia

    en.wikipedia.org/wiki/Dummy_variable_(statistics)

    They can also help us to control for confounding factors and improve the validity of our results. As with any addition of variables to a model, the addition of dummy variables will increase the within-sample model fit ( coefficient of determination ), but at a cost of fewer degrees of freedom and loss of generality of the model (out of sample ...

  9. Multimethodology - Wikipedia

    en.wikipedia.org/wiki/Multimethodology

    There are four broad classes of research studies that are currently being labeled "mixed methods research": [5]. Quantitatively driven approaches/designs in which the research study is, at its core, a quantitative study with qualitative data/method added to supplement and improve the quantitative study by providing an added value and deeper, wider, and fuller or more complex answers to ...