Quantitative_Research_Designs_Presentation.pptx

Lessons in Practical Research 2 for Shs students.

1. Kinds of Quantitative Research Designs An Overview of Key Research Methodologies Your Name Date

2. Introduction to Quantitative Research Designs Quantitative research designs refer to the structured ways of investigating phenomena through numerical data and statistical analysis. Importance: Choosing the right design is crucial for valid, reliable, and generalizable results.

3. Overview of Quantitative Research Designs • Descriptive Design • Correlational Design • Ex Post Facto Design • Quasi-Experimental Design • Experimental Design

4. Descriptive Design Describes characteristics of a population or phenomenon. Example: A survey conducted to determine the average age, income level, and education background of people living in a particular city. Details: The study aims to provide a demographic profile of the city's population without exploring relationships between variables.

5. Correlational Design Examines the relationship between two or more variables. Example: Research to determine the relationship between hours of sleep and academic performance among high school students. Details: The study collects data on students' average sleep duration and their GPA, then uses statistical methods to see if a correlation exists between the two variables.

6. Ex Post Facto Design Investigates relationships between variables by examining existing data after events have occurred. Example: Analyzing the impact of maternal smoking during pregnancy on the birth weight of infants using historical medical records. Details: Researchers examine birth records to compare infants born to mothers who smoked during pregnancy with those who did not, looking for differences in birth weight.

7. Quasi-Experimental Design Similar to experimental design but lacks random assignment. Example: Evaluating the effectiveness of a new teaching method in one school compared to a traditional method in another school. Details: Students are not randomly assigned to groups; instead, the new method is implemented in one school, and the outcomes (e.g., test scores) are compared with those from a school using traditional methods.

8. Experimental Design Involves manipulating one or more variables to determine their effect, with random assignment. Example: A clinical trial testing the effectiveness of a new drug for lowering blood pressure. Details: Participants are randomly assigned to either the drug treatment group or a placebo group. The change in blood pressure is measured and compared between the two groups to determine the drug’s effectiveness.

9. Comparison of Research Designs • Descriptive Design: Survey on demographics. • Correlational Design: Study of sleep and GPA. • Ex Post Facto Design: Maternal smoking and birth weight. • Quasi-Experimental Design: New teaching method vs. traditional method. • Experimental Design: Clinical trial for a new drug.

10. Choosing the Right Design Factors to Consider: Research question, ethical considerations, resources available, and the need for control over variables. Guidance: Match the design to the specific needs and constraints of your study.

11. Conclusion Recap: Each design has its strengths and weaknesses, and the choice depends on the research question and practical considerations. Final Thought: Understanding these designs is crucial for conducting rigorous and meaningful research.

12. Questions and Discussion Open the floor for any questions or further discussion.