Quantitative Research Methods

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Questions and Answers

Which type of research deals with numerals and how it can describe a phenomenon or infer a relationship?

  • Experimental research
  • Quantitative research (correct)
  • Observational research
  • Qualitative research

What are variables in quantitative research?

  • Factors that are irrelevant to the research
  • Factors that cannot be measured or quantified
  • Traits that numerically describe or give meaning to an object, phenomenon, or group of people (correct)
  • Traits that are difficult to measure

Why is quantitative research the go-to approach for scientific inquiry?

  • Because it focuses on qualitative data
  • Because it is easier to conduct
  • Because it can test hypotheses (correct)
  • Because it is less time-consuming

Which of the following is an example of a variable?

<p>The color of a chair (A)</p> Signup and view all the answers

What do variables do in quantitative research?

<p>They create a clearer picture of what is happening around us (A)</p> Signup and view all the answers

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Study Notes

Quantitative Research

  • Focuses on numerical data to describe phenomena or infer relationships.
  • Employs statistical analysis to interpret data and draw conclusions.

Variables in Quantitative Research

  • Definition: Characteristics or conditions that can change or vary in a study.
  • Categories of variables include independent (manipulated), dependent (measured), and controlled (kept constant).

Importance of Quantitative Research

  • Widely adopted for scientific inquiry due to its objectivity and replicability.
  • Facilitates large sample sizes and generalization of findings.
  • Enables precise measurements and statistical validation of theories.

Examples of Variables

  • Types of variables include age, income levels, test scores, or any measurable traits.
  • In research, a variable can represent anything that can vary, such as temperature or hours studied.

Role of Variables in Quantitative Research

  • Help identify relationships between different factors.
  • Allow for hypothesis testing to determine cause-and-effect dynamics.
  • Collaborate with data to inform interpretations and conclusions within the study.

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