Quantitative Research Overview

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Questions and Answers

What defines quantitative research?

  • Research that emphasizes small sample sizes.
  • Research based solely on observations.
  • Research that involves numerical data and statistical analysis. (correct)
  • Research focused on subjective experiences.

Which characteristic is NOT associated with quantitative research?

  • Use of structured tools for data collection.
  • Objective measurement.
  • Flexible research designs. (correct)
  • Statistical analysis of results.

What is one major strength of quantitative research?

  • It focuses on narrative analysis.
  • It relies on small, qualitative samples.
  • It provides findings that can be generalized to larger populations. (correct)
  • It allows for in-depth exploration of human emotions.

Which is a common weakness of quantitative research?

<p>It may overlook the complexity of human behavior. (B)</p> Signup and view all the answers

In quantitative research, which of the following methods is predominantly used for data collection?

<p>Surveys with closed-ended questions. (A)</p> Signup and view all the answers

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Study Notes

Quantitative Research Overview

  • Quantitative research is a systematic investigation that primarily focuses on quantifying relationships, behaviors, or phenomena. It employs statistical methods to analyze measurable data.

Characteristics of Quantitative Research

  • Utilizes structured tools such as surveys or experiments to collect numerical data.
  • Employs a deductive approach, testing hypotheses derived from existing theories.
  • Emphasizes objectivity and reliability through consistency in measurements.
  • Data analysis is typically performed using statistical techniques, enabling generalization of results to larger populations.
  • Results are presented in numerical format, often including charts, graphs, and tables to illustrate findings clearly.

Strengths and Weaknesses of Quantitative Research

  • Strengths include the ability to gather large amounts of data quickly, allowing for broad generalizations and the identification of patterns or trends within the data.
  • The structured nature facilitates replication of studies, enhancing credibility and validity of findings.
  • Weaknesses consist of potential oversimplification of complex phenomena, as quantitative methods may overlook nuanced, qualitative data.
  • Relying heavily on data may lead to ignoring contextual factors that influence behaviors or outcomes.
  • Quantitative studies may struggle to explain "why" certain behaviors occur, necessitating additional qualitative research for a comprehensive understanding.

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