Introduction to Quantitative Research

Jul 15, 2024

Introduction to Quantitative Research

Objectives of the Video Lesson

  • Define quantitative research
  • Describe the characteristics of quantitative research
  • Preview of information for the next lesson on hypothesis testing

Definition of Quantitative Research

  • Quantitative Research: An objective, methodical, experiential investigation of phenomena using computational procedures.
  • Focuses On: Numerical analysis of data, generalizing results to a larger population, and describing observations without bias.
  • Primary Concern: Numbers, their relationship with events, statistics, and probability.
  • Application:
    • Hypothesis testing
    • Statistical techniques (e.g., relationships of variables)
    • Scatter diagrams and correlation types

Characteristics of Quantitative Research

  1. Objective: Not subjective; focuses on precision and accuracy.

    • Emphasizes proof over discovery.
    • Examples: Vaccine research for COVID-19.
  2. Clearly Defined Research Questions: Specific and precise.

    • Research questions should clearly define respondents, interventions, comparison variables, and outcomes.
    • Example: Research on COVID-19 vaccines should cover all aspects before the study begins.
  3. Structured Research Instruments: Well-planned and organized tools (questionnaires, checklists, etc.).

    • Measure characteristics like age, gender, education, socioeconomic status, etc.
  4. Numerical Data Presentation: Data presented in numbers, statistics, tables, charts, graphs, and figures.

    • Example: World Health Organization (WHO) charts and tables for COVID-19 data.
  5. Large Sample Size: More reliable data analysis with a larger sample size.

    • Avoids biases; reflects normal population distribution.
    • At least 20% of the population can be used as respondents.
  6. Replicable, Not Duplicable: Studies can be repeated to confirm results, not duplicated.

    • Ensures validity and eliminates spurious conclusions.
    • Example: Mix-and-match approach to COVID-19 vaccines.
  7. Predictive Data: Data can forecast future outcomes through mathematical calculations and computers.

    • Uses past data to predict future trends.
  8. Verification and Development: Data can verify existing facts and develop new concepts.

    • Research increases comfort in daily life.

Closing

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  • Emphasis on the guide for future video lessons.