QUANTITATIVE RESEARCH DESIGN || PRACTICAL RESEARCH 2

Summary

This video lesson explores various research designs in quantitative research, emphasizing descriptive, correlational, experimental, and causal-comparative approaches. Descriptive research focuses on describing characteristics and trends, while correlational studies the relationship between variables. Experimental research manipulates variables to observe effects, and causal-comparative compares groups to determine causality. The lesson aims to educate viewers on the fundamentals of quantitative research design.

Takeaways

• 📊 Descriptive research design is used to gather data from a large number of cases and defines existing conditions or phenomena.
• 🔍 Descriptive research identifies trends, correlations, and categories such as 'what,' 'how,' 'when,' and 'where.'
• 📚 Examples of descriptive research include studies like describing how parents feel about the K-12 curriculum or analyzing the impact of social programs like 'Pantawid Pamilyang Pilipino Program.'
• 📈 Correlational research design defines the degree of relationship between two or more variables using statistical data.
• 💡 An example of correlational research is studying the correlation between sleep hours and academic performance or the relationship between study time and exam scores.
• 🧪 Experimental research design manipulates an independent variable to determine the effect on another variable, often done in controlled environments like laboratories.
• 🧑‍🔬 An example of experimental research is testing the effectiveness of a vaccine or analyzing the effect of video learning tools on academic performance.
• ⚖️ Causal-comparative research explores possible causal relationships among variables that cannot be manipulated, comparing two or more groups to investigate differences.
• 👥 An example of causal-comparative research is studying the effects of peer counseling on students' emotional conditions or examining if attitudes towards math differ by gender.
• 📑 The four main types of quantitative research designs discussed are descriptive, correlational, experimental, and causal-comparative.

Q & A

What is the main purpose of descriptive research design?

The main purpose of descriptive research design is to gather data from a relatively large number of cases to define the existing condition or phenomenon of a classified variable. It aims to describe trends, correlations, and categories by answering questions like what, how, when, and where.

Can you provide an example of a topic that uses descriptive research design?

An example of a descriptive research design topic is 'A description of how parents feel about the K-12 curriculum.' This type of research focuses on describing the current or prevailing conditions related to the topic.

What is correlational research design used for?

Correlational research design is used to define the degree of relationship between two or more variables using statistical data. It helps determine whether a relationship between variables is positive or negative.

What is an example of a topic using correlational research design?

An example of a correlational research design topic is 'The relationship between number of sleep hours and academic performance.' This research investigates how the number of sleep hours may affect academic performance.

What distinguishes experimental research design from other designs?

Experimental research design is characterized by the manipulation of an independent variable to determine its effect. Respondents are randomly assigned to treatment groups, and the research is often conducted in controlled laboratory settings.

Can you provide an example of experimental research design?

An example of experimental research design is 'The effect of a video learning tool on academic performance.' In this case, the video learning tool is the independent variable being manipulated to observe its impact on academic outcomes.

What is causal-comparative research design?

Causal-comparative research design explores possible causal relationships among variables that cannot be manipulated by the researcher. It often involves comparing two or more groups to determine the cause of differences in outcomes.

What is an example of causal-comparative research design?

An example of causal-comparative research design is 'The effect of peer counseling and support groups on students' emotional condition.' This research compares groups to identify whether peer counseling or support groups influence emotional well-being.

What are the key differences between descriptive and correlational research designs?

Descriptive research focuses on describing current or prevailing conditions, while correlational research examines the relationship between two or more variables. Descriptive research does not look for cause-and-effect, whereas correlational research looks at the strength and direction of relationships between variables.

How do experimental and causal-comparative research designs differ?

Experimental research involves manipulating an independent variable and assigning subjects randomly to groups, while causal-comparative research compares existing groups without manipulation to find causal relationships. Experimental design seeks to control variables, whereas causal-comparative design observes natural differences.