Research Chapter 2: Nature and Inquiry
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Research Chapter 2: Nature and Inquiry

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Questions and Answers

What is quantitative research?

Quantitative research uses scientifically collected and statistically analyzed data to investigate observable phenomena.

Which of the following are characteristics of quantitative research? (Select all that apply)

  • Numerical data presentation (correct)
  • Large sample size (correct)
  • Faster data analysis (correct)
  • Subjective data analysis
  • Quantitative research only deals with non-numerical data.

    False

    What is the advantage of using standardized research instruments in quantitative research?

    <p>They allow efficient collection of data from a large sample size.</p> Signup and view all the answers

    The use of statistical tools in quantitative research allows for faster data _____ .

    <p>analysis</p> Signup and view all the answers

    What is a common scale used to quantify non-numerical data?

    <p>Likert scale</p> Signup and view all the answers

    What is a disadvantage of quantitative research?

    <p>It may overlook the context or meaning behind numerical data.</p> Signup and view all the answers

    Quantitative research can be replicated or repeated to verify findings.

    <p>True</p> Signup and view all the answers

    How does quantitative research contribute to policymaking?

    <p>It provides reliable data that can inform decision-making.</p> Signup and view all the answers

    Study Notes

    Introduction to Quantitative Research

    • Quantitative research utilizes scientifically collected and statistically analyzed data to study observable phenomena.
    • Focuses on facts or situations that need deeper understanding or exploration.

    Key Aspects of Quantitative Research

    • Employs scientific methods to design studies and collect numerical data.
    • Data must be numerical and quantifiable to allow for effective statistical analysis.

    Numerical Data vs Non-Numerical Data

    • Numerical data is easier to collect compared to qualitative descriptions.
    • Examples of numerical data include:
      • Student grades across subjects.
      • Hours of social media engagement among teenagers.
      • Consumer preferences for product packaging.
      • Covid-19 patient recovery averages by region.

    Conversion of Non-Numerical Data

    • Non-numerical data can be transformed into numerical form using scales like the Likert scale.
    • Rating scales convert qualitative responses into quantifiable numerical data to facilitate mathematical operations.

    Characteristics of Quantitative Research

    • Large Sample Size: Essential for achieving statistically significant results.
    • Objectivity: Data gathering and analysis remain unaffected by the researcher’s opinions.
    • Concise Visual Presentation: Numerical data allows for easy visualization through graphs, charts, and tables.
    • Faster Data Analysis: Statistical tools streamline the data interpretation process.
    • Generalized Data: Sample data can represent the larger population if collected appropriately.
    • Fast and Easy Data Collection: Standardized research instruments enable efficient data gathering from large samples.
    • Reliable Data: Data collected is seen as credible, aiding in informed decision-making.
    • High Replicability: Quantitative methods can be repeated to verify results, enhancing validity.

    Advantages of Quantitative Research

    • Objective and grounded in numerical data.
    • Predictive potential of numerical data on future outcomes.
    • Findings applicable to the broader population providing generalizability.
    • Establishes clear cause-and-effect relationships.
    • Employs statistical techniques for sophisticated analysis.
    • Offers quick and straightforward data analysis using valid random sampling.
    • Replicable findings enhance reliability and validity.

    Disadvantages of Quantitative Research

    • Limited exploration of individual experiences or subjective information.
    • May overlook contextual factors influencing data.

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    Description

    Explore the fundamentals of quantitative research in this quiz. Understand the significance of scientifically collected data and statistical analysis in investigating observable phenomena. Perfect for anyone looking to deepen their knowledge of research methods.

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