Quantitative Research Design Analysis
Quantitative research designs are used to answer different types of research questions and to test different types of hypotheses. Grand Canyon University (GCU) has a set of quantitative core designs, found on the DC Network. Review the “GCU Quantitative Core Designs” document so you can contrast the GCU quantitative core designs. What are the defining characteristics of each design? How do they differ from one another? What are some advantages and disadvantages of each design? How might researchers select the most appropriate design for their research questions? Support your view including references.
Quantitative research designs are critical in addressing specific research questions and testing hypotheses across various fields. Grand Canyon University (GCU) outlines several core quantitative research designs, including descriptive, correlational, quasi-experimental, and experimental designs. Here’s a contrast of these designs based on their defining characteristics, differences, advantages, disadvantages, and considerations for researchers in selecting the most appropriate design.
1. Descriptive Research Design
Defining Characteristics:
- Focuses on providing a detailed account of a phenomenon.
- Utilizes surveys, observations, and existing data to describe characteristics or behaviors.
- Does not manipulate variables.
Differences:
- Primarily aims to describe rather than explain relationships or cause-and-effect…
Quantitative research designs are critical in addressing specific research questions and testing hypotheses across various fields. Grand Canyon University (GCU) outlines several core quantitative research designs, including descriptive, correlational, quasi-experimental, and experimental designs. Here’s a contrast of these designs based on their defining characteristics, differences, advantages, disadvantages, and considerations for researchers in selecting the most appropriate design.
1. Descriptive Research Design
Defining Characteristics:
- Focuses on providing a detailed account of a phenomenon.
- Utilizes surveys, observations, and existing data to describe characteristics or behaviors.
- Does not manipulate variables.
Differences:
- Primarily aims to describe rather than explain relationships or cause-and-effect…
Quantitative research designs are critical in addressing specific research questions and testing hypotheses across various fields. Grand Canyon University (GCU) outlines several core quantitative research designs, including descriptive, correlational, quasi-experimental, and experimental designs. Here’s a contrast of these designs based on their defining characteristics, differences, advantages, disadvantages, and considerations for researchers in selecting the most appropriate design.
1. Descriptive Research Design
Defining Characteristics:
- Focuses on providing a detailed account of a phenomenon.
- Utilizes surveys, observations, and existing data to describe characteristics or behaviors. Quantitative Research Design Analysis
- Does not manipulate variables.
Differences:
- Primarily aims to describe rather than explain relationships or cause-and-effect…
