Activity and Satisfaction Relationship
A researcher is interested in studying the relationship between physical activity and life satisfaction among college students. The researcher plans to administer a survey to a sample of college students and collect data on their physical activity levels and life satisfaction. Using this scenario, which GCU quantitative core designs do you think would be most appropriate for this research problem? Why? Create and provide two examples of research questions that could be addressed using the design you selected. What might the advantages and challenges be of using the identified design for this scenario? Explain including references.
In this scenario, the researcher is investigating the relationship between physical activity and life satisfaction among college students, which suggests the need for a correlational design—one of the core quantitative designs at Grand Canyon University (GCU). This design is appropriate when the goal is to examine the relationship or association between two variables without manipulating them.
Justification for Using Correlational Design:
- Focus on Relationships: The researcher is interested in understanding if there is a relationship between physical activity levels and life satisfaction, which correlational designs are well-suited to investigate.
- Natural Settings: Correlational research allows data collection in a natural environment (e.g., surveying college students about their existing behavior), providing insights without manipulating any variables…
In this scenario, the researcher is investigating the among college students, which suggests the need for a correlational design—one of the core quantitative designs at Grand Canyon University (GCU). This design is appropriate when the goal is to examine the relationship or association between two variables without manipulating them.
Justification for Using Correlational Design:
- Focus on Relationships: The researcher is interested in understanding if there is a relationship between physical activity levels and life satisfaction, which correlational designs are well-suited to investigate.
- Natural Settings: Correlational research allows data collection in a natural environment (e.g., surveying college students about their existing behavior), providing insights without manipulating any variables…
