Quantitative method in the context of "Social research"

⭐ In the context of social research, quantitative method is considered…

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⭐ Core Definition: Quantitative method

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

Associated with the natural, applied, formal, and social sciences this research strategy promotes the objective empirical investigation of observable phenomena to test and understand relationships. This is done through a range of quantifying methods and techniques, reflecting on its broad utilization as a research strategy across differing academic disciplines.

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👉 Quantitative method in the context of Social research

Social research is research conducted by social scientists following a systematic plan. Social research methodologies can be classified as quantitative and qualitative.

  • Quantitative designs approach social phenomena through quantifiable evidence, and often rely on statistical analyses of many cases (or across intentionally designed treatments in an experiment) to create valid and reliable general claims.
  • Qualitative designs emphasize understanding of social phenomena through direct observation, communication with participants, or analyses of texts, and may stress contextual subjective accuracy over generality.

Most methods contain elements of both. For example, qualitative data analysis often involves a fairly structured approach to coding raw data into systematic information and quantifying intercoder reliability. There is often a more complex relationship between "qualitative" and "quantitative" approaches than would be suggested by drawing a simple distinction between them.

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Quantitative method in the context of 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, and business. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same. The goal for all data collection is to capture evidence that allows data analysis to lead to the formulation of credible answers to the questions that have been posed.

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.

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