The document introduces quantitative research, highlighting its focus on numerical data collection and analysis for informed decision-making. It discusses various types of quantitative research methods, sampling techniques, and the importance of validity and reliability in research. Additionally, it addresses the applications of quantitative research in various fields and the future implications of technological advancements in this domain.

1. Understanding
Quantitative Research
Mr. Giovanni A. Desuyo
Practical Research 2 Teacher
Bantayan National High School- Senior High School

2. Welcome to Quantitative Research
● Discover the world of structured data and analysis.
● Learn how quantitative research helps in making informed
decisions.
● Get ready to explore different methods and tools used in
quantitative studies.

3. What is Quantitative Research?
● Quantitative research involves collecting and analyzing
numerical data.
● It aims to quantify the problem and understand how prevalent it
is by looking for projectable results to a larger population.
● Why do you think numbers are important in research?

4. Characteristics of Quantitative Research
● Structured research instruments
● Larger sample sizes
● Statistical analysis
● Objective and unbiased approach
● Can you think of a situation where these characteristics would be
particularly important?

5. Quantitative vs. Qualitative Research
● Quantitative: Focuses on numbers and statistical analysis.
● Qualitative: Focuses on descriptions and themes.
● Both have their place in research, but they serve different
purposes.
● When might you prefer qualitative research over quantitative?

6. Types of Quantitative Research
● Descriptive Research: What is happening?
● Correlational Research: What relationships exist?
● Causal-Comparative Research: What causes what?
● Experimental Research: How does one thing affect another?
● Which type seems most interesting to you, and why?

7. Common Quantitative Research Methods
● Surveys and Questionnaires
● Experiments
● Observational Studies
● Secondary Data Analysis
● What method would you use to study the popularity of a new
smartphone app?

8. Surveys and Questionnaires
● Used to collect data from a large number of respondents.
● Can be administered in person, by phone, online, or through
mail.
● Standardized questions ensure comparability of responses.
● How would you design a survey to be both effective and
efficient?

9. Experiments
● Controlled tests to determine cause and effect.
● Involves manipulation of one or more variables.
● Often conducted in laboratories or controlled environments.
● Can you think of an experiment you could conduct at school?

10. Observational Studies
● Researcher observes subjects in their natural environment.
● Does not involve manipulation of variables.
● Useful for collecting data on naturally occurring behaviors.
● What are some challenges you might face in an observational
study?

11. Secondary Data Analysis
● Analysis of existing data collected for another purpose.
● Includes sources like government statistics, previous research,
and historical records.
● Saves time and resources but may have limitations regarding
relevance and accuracy.
● What are the pros and cons of using secondary data?

12. Sampling Techniques
● Random Sampling: Every individual has an equal chance of
being selected.
● Stratified Sampling: Population divided into subgroups, then
sampled from each group.
● Convenience Sampling: Samples taken from a group that is
readily available.
● Which sampling technique would yield the most reliable results,
and why?

13. Data Collection Tools
● Questionnaires
● Interviews
● Observational checklists
● Sensors and counters
● Think about a tool that could help collect data for a traffic study.

14. Ensuring Validity and Reliability
● Validity: Does the research measure what it is supposed to
measure?
● Reliability: Are the results consistent when the research is
repeated?
● How can a researcher increase the validity and reliability of a
study?

15. Statistical Analysis in Quantitative Research
● Descriptive Statistics: Summarize data (mean, median, mode).
● Inferential Statistics: Make predictions or inferences about a
population based on sample data.
● Software like SPSS or R is often used for complex analyses.
● Why is statistical analysis crucial in quantitative research?

16. Interpreting Data
● Data must be interpreted in the context of the research question.
● Look for patterns, trends, and significant findings.
● Interpretation should be objective and supported by the data.
● How might personal bias affect data interpretation?

17. Presenting Research Findings
● Use graphs, tables, and charts to present data clearly.
● Be concise and focus on the most important results.
● Ensure that your presentation is accessible to your intended
audience.
● What makes a research presentation effective?

18. Ethical Considerations in Quantitative Research
● Informed consent from participants
● Confidentiality and privacy of data
● Avoidance of deception and harm
● How do ethical considerations shape research practices?

19. Limitations of Quantitative Research
● May not capture the depth of human experience.
● Data can be misinterpreted or misused.
● Limited by the quality of measurement instruments.
● In what ways could quantitative research be complemented by
qualitative methods?

20. Quantitative Research in the Real World
● Used in market research, health studies, education, and more.
● Helps in making evidence-based decisions.
● Can lead to advancements in various fields.
● Can you think of a recent decision that might have been
influenced by quantitative research?

21. Future of Quantitative Research
● Increasing use of big data and analytics.
● More sophisticated statistical tools and software.
● Greater emphasis on data visualization.
● How do you think technology will change quantitative research in
the future?

22. Conclusion: The Power of Numbers
● Quantitative research provides a systematic way to understand
the world through numbers.
● It offers a high level of generalizability, objectivity, and reliability.
● Remember, behind every number is a piece of the story of our
world.
● How will you use quantitative research in your future endeavors?

23. First Performance Task (Criteria)
● Originality & Creativity 30 pts
● Content (Theme & Ideas) 50 pts
● Overall Performance 2o pts
● 100 points