Quantitative Research GPT Prompt Template

Research Population:
The research population consists of college students aged 18 to 25 who are currently enrolled in undergraduate programs in various universities in the United States.
Variables:
Independent Variable: Amount of time spent on smartphones per day (measured in hours).
Dependent Variable: Academic performance (measured as GPA).
Research Design:
This study will employ a Correlation Study design. The rationale behind this choice is to assess the relationship between smartphone usage and academic performance. A correlation study allows us to measure the strength and direction of the relationship between these variables without manipulation.
Sampling Method:
A random sampling method will be used to select participants. This method ensures that each student in the population has an equal chance of being included in the study.
Sample Size:
We aim to collect data from 500 college students, which provides a sufficiently large sample size to draw meaningful conclusions.
Data Collection Procedure:
Data will be collected using questionnaires. Participants will be asked to self-report their daily smartphone usage and provide their current GPA. This method is efficient and allows for the collection of a large amount of data.
Data Analysis:
The data will be analyzed using correlation analysis to determine the strength and direction of the relationship between smartphone usage and academic performance. Additionally, descriptive statistics will be used to provide a summary of the data. A significance level of 0.05 (alpha level) will be used. This means that we will consider p-values less than 0.05 as statistically significant.
Potential Sources of Bias or Limitations:
Self-reporting bias: Participants may not accurately report their smartphone usage or GPA.
Sample bias: The study may not include a diverse range of college students.
Causation: Correlation does not imply causation. It's possible that other factors influence academic performance.
To mitigate these biases and limitations, we will ensure anonymity in data collection, use a random sampling method, and control for potential confounding variables.
Expected Outcomes and Implications:
We expect to find a negative correlation between smartphone usage and academic performance. If this correlation is established, it could have significant implications for educators and policymakers in addressing the impact of smartphone usage on student learning and well-being. Additionally, it may inform students about the need for responsible smartphone use to maintain their academic success.