Quantitative Research Design

Summary

This video script delves into the realm of quantitative research design, elucidating its significance in academic research. It defines research design as a blueprint for data collection and analysis, emphasizing its role in structuring research around a problem or hypothesis. The script distinguishes between experimental and non-experimental designs, outlining specific types such as descriptive, longitudinal, correlational, true experimental, and quasi-experimental. Each design's purpose, from establishing cause-effect relationships to describing phenomena, is explored. The script also highlights the importance of randomization and control variables in true experiments, contrasting them with the limitations of quasi-experimental approaches. Practical examples are provided to illustrate how these designs can be applied in educational research, offering viewers a clear understanding of selecting the most appropriate research design for their studies.

Takeaways

• 📚 Research design is a master plan specifying methods and procedures for data collection and analysis.
• 🔍 The significance of research design is to guide the collection and analysis of data to answer research questions.
• 📈 Quantitative research design focuses on numerical data and relationships between variables.
• 📊 Non-experimental designs include descriptive, longitudinal, and correlational research methods.
• 🔬 Experimental designs involve cause and effect and are divided into true experimental and quasi-experimental.
• 📝 Descriptive research uses quantifiable descriptors like frequency count and percentage to describe phenomena.
• 📉 Longitudinal research extends over a longer period and involves repeated observations.
• 🔗 Correlational research seeks to find significant relationships between variables.
• ⚖️ True experimental design requires randomization, manipulation of the independent variable, and a control variable.
• 🧬 Quasi-experimental design lacks randomization or control variables, including pre-experimental and time series designs.

Q & A

What is quantitative research design?

Quantitative research design is a master plan specifying the methods and procedures for collection and analyzing needed information, focusing on numerical data to answer research questions and control variants.

Why is research design significant in writing a research paper?

Research design is significant as it provides a structured approach to solving research problems, helps in selecting the most appropriate method for gathering information, and ensures the research is anchored to the research problem.

What are the objectives of the session on quantitative research design?

The objectives are to familiarize with the definition, purpose, and nature of different research designs under quantitative research, and to identify and select the most appropriate research design for a given problem.

According to William Hickman, what is a research design?

According to William Hickman, a research design is a master plan specifying the methods and procedures for collection and analyzing needed information.

What is the role of research design in planning research?

Research design plays a role in planning research by outlining the methods or procedures on how to collect and analyze data, ensuring a better plan based on the identified problem, hypothesis, and research questions.

What are the two types of quantitative research design?

The two types of quantitative research design are experimental, which focuses on cause and effect, and non-experimental, which describes and relates variables.

What are the three types of non-experimental research design?

The three types of non-experimental research design are descriptive, longitudinal, and correlational research designs.

What is a descriptive research design and how is it used?

A descriptive research design is used to describe a certain condition or phenomenon in a given sample using quantifiable descriptors like frequency count, percentage, mean, and standard deviation.

How does a longitudinal research design differ from a descriptive research design?

A longitudinal research design differs from a descriptive research design in that it involves a prolonged process and often requires a greater amount of time to gather data over an extended period.

What is a correlational research design and what is its purpose?

A correlational research design is used to seek significant relationships between identified variables to determine if changes in one variable are associated with changes in another.

What are the characteristics of a true experimental research design?

The characteristics of a true experimental research design include randomization, manipulation of the independent variable, and the presence of a control variable.

What is the difference between experimental and quasi-experimental designs?

The difference between experimental and quasi-experimental designs is that experimental designs have randomization and control variables, while quasi-experimental designs lack randomization or the ability to manipulate variables and may not have a control group.

What are the examples of quasi-experimental designs mentioned in the script?

Examples of quasi-experimental designs mentioned are pre-experimental and time series designs, which include one-shot case study, one group pre-test post-test design, and static group comparison.

How does the Solomon 4 group design combine elements of other experimental designs?

The Solomon 4 group design combines elements of the pretest posttest control group design and the post test control group design by including four setups with two control groups and two experimental groups.