Module 1.1: Qualitative vs Quantitative Research
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Questions and Answers

What is quantitative research?

An objective, systematic empirical investigation of phenomena using computational techniques from quantifiable data.

What is qualitative research used for?

To gain understanding, reasons, opinions, and motivations.

Which of the following describes qualitative research methods?

  • Open-ended questions (correct)
  • Structured questionnaires
  • Numerical data
  • Statistical analysis

What size sample is typically used in quantitative research?

<p>n&gt;30 (large) (B)</p> Signup and view all the answers

Which of the following is not a characteristic of quantitative research?

<p>Small sample sizes (D)</p> Signup and view all the answers

Quantitative research seeks __________ measurement and analysis of target concepts.

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

Qualitative research relies primarily on numerical data.

<p>False (B)</p> Signup and view all the answers

What is the purpose of structured research instruments in quantitative research?

<p>To guide data collection, ensuring accuracy, reliability, and validity of data.</p> Signup and view all the answers

What is required for successfully generalizing findings in quantitative research?

<p>Using statistically valid random models and a normal population distribution curve.</p> Signup and view all the answers

What does the numerical data collected in quantitative research help to showcase?

<p>Trends, relationships, or differences among variables.</p> Signup and view all the answers

Study Notes

Qualitative vs. Quantitative Research

  • Quantitative Research

    • Utilizes objective, systematic empirical investigation.
    • Involves computational techniques applied to quantifiable data.
    • Focuses on numerical analysis to generalize findings to larger populations.
    • Concerned with measurable and countable variables.
    • Data primarily in numerical form, enabling statistical analysis.
    • Instruments used are structured and standardized.
    • Sample sizes are typically large (n>30).
    • Results are objective and can be generalized.
    • Employs statistical methodologies to quantify phenomena like attitudes and behaviors.
    • Allows for replicable studies through standardized approaches, enhancing validity.
  • Qualitative Research

    • Aims to understand underlying reasons, opinions, and motivations.
    • Delves deeper into phenomena using words, perceptions, and feelings instead of numbers.
    • Often employs open-ended questionnaires to gather rich data.
    • Sample sizes are small (5-20 participants) and respondents are selected to meet specific quotas.
    • Research questions are well-defined to seek objective answers.
    • Data collection instruments are less structured and often exploratory.
    • Data is typically presented in the form of thematic analysis rather than numerical analysis.

Characteristics of Research Types

  • Quantitative Research Characteristics

    • Objective measurement ensuring accurate results and analysis of concepts.
    • Research questions are clearly defined prior to data collection.
    • Data collection is guided by structured instruments promoting reliability and validity.
    • Summarized data presented through figures, tables, or graphs helps identify trends and relationships.
    • Preferably uses large sample sizes to ensure statistically valid results.
    • Random sampling is critical to eliminate researcher bias in data interpretation.
    • Findings can be replicated in different settings, reinforcing validity and reliability.
  • Qualitative Research Characteristics

    • Focuses on gathering deep insights before concluding or solving problems.
    • Small sample sizes aimed at fulfilling specific quotas rather than generalization.
    • Relies on the richness of data from responses instead of statistical measures.

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Description

Explore the distinctions between qualitative and quantitative research methodologies in this quiz. Learn about key concepts such as central phenomena, participants, and types of variables. Test your understanding of the systematic approach to empirical investigation and computational techniques used in data analysis.

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