Author: MM

Numerical measurement in quantitative research means expressing all data in numbers. Variables like age, income, or satisfaction are measured using scales, counts, or scores. This allows researchers to compare results, analyze trends, and communicate findings clearly, making conclusions easier to understand and validate. Uses standardized scales: Researchers apply fixed scales like Likert ratings or numeric scores…

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Generalizability in quantitative research means that findings from a sample can be applied to the larger population. When studies use proper sampling and controls, the results are not limited to the participants—they reflect broader trends that can inform decisions in education, healthcare, policy, and business. Uses representative samples: Researchers choose participants that reflect the traits of…

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Statistical analysis in quantitative research refers to using mathematical techniques to interpret numerical data. It helps identify trends, test relationships, and determine significance. By applying standardized formulas and tests, researchers draw clear, reliable conclusions that are based entirely on the data, not assumptions or opinions. Tests research hypotheses: Statistical tools like t-tests or chi-square tests help…

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Structured design in quantitative research means the study follows a fixed sequence of steps from start to finish. Each phase—like defining a hypothesis, collecting data, and analyzing results—uses a clear, predefined structure. This organization ensures consistency, reduces errors, and allows the study to be repeated accurately. Uses set stages: Researchers follow defined stages such as…

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Objectivity in quantitative research means the study is free from personal opinions or bias. Researchers use standardized tools and procedures to ensure that results are based only on facts and numbers. This allows findings to be trusted, verified, and repeated by others under similar research conditions. Uses neutral tools: Researchers use structured tools like surveys, checklists,…

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Quantitative research refers to a systematic investigation that gathers and analyzes numerical data to identify patterns, test theories, and predict outcomes. The characteristics of quantitative research include objectivity, structured design, statistical analysis, generalizability, numerical measurement, and replicability. These traits support accuracy, reliability, and evidence-based conclusions in scientific and social research. Objectivity Quantitative research is grounded…

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