Embedded Files
This page contains a pdf of the sleep survey, results of data already collected, and examples of the results.
You can use the survey and the data to create and test your own hypothesis such as:
Students will poor sleep quality will report less satisfaction with their college experience. This could be tested by looking for a negative correlation between PSQI scores and average scores of questions about the positive college experience.
Students that use social media more will have lower sleep quality. This could be tested by looking for a positive correlation between PSQI scores and scores on social media use.
Females have lower quality sleep than males. This could be tested by averaging PSQI scores for males and females and then conducting a t-test to see if there is a difference.
Excel Spreadsheet of Data
Participants as rows and different measurements as columns. Average or calculated scores are color-coded for each measure.
Sleep Survey Data March 2022.xlsxVideo describing the spreadsheet
Original Survey (PDF)
Sleep Stress College Survey April 2022.pdfThe scatterplot to the right shows the negative correlation between PSQI score (higher values mean poorer sleep) and average scores on the Satisfaction with Life Scale (SWLS). The negative correlation was supported by Pearson-r correlation, r(531) = -0.30, p < 0.001
The scatterplot to the right shows the positive correlation between PSQI score (higher values mean poorer sleep) and average scores on the College Student Stress Survey (CSSS). The negative correlation was supported by Pearson-r correlation, r(531) = -0.43, p < 0.001
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