acadsleep: Sleep and Academic Success Dataset

In reyesem/IntroAnalysis: Functions for introductory statistics using linear models

Sleep and Academic Success Dataset

Description

Data from a study examining the relationships between daily sleep ratings, well-being, and academic success over the course of a college semester.

Usage

acadsleep

Format

A data frame with 1338 rows and 10 variables:

participantID

unique participant identification.

gender

indicator of participant's self-identified gender.

PSS

score on the Perceived Stress Scale (0-40). Higher values indicate higher stress levels.

PSQI

score on the Pittsburgh Sleep Quality Index (0-21). Higher values indicate worse sleep quality.

PHQ9

score on the Patient Health Questionnaire (0-27) for assessing depression. Higher values indicate more severe depression.

FS

score on the Flourishing Scale (8-56) assessing psychological well-being. Higher values indicate healthier well-being.

cumulGPA

participant's cumulative GPA on a 4-point scale.

springGPA

participant's GPA (4-point scale) during only the semester for which the study was conducted.

sleepHours

the number of hours participant slept the previous night.

sleepRate

indicator rating of the sleep quality for the previous night.

Details

There were several records where the PSQI was noted as 28; since the maximum value for the PSQI is 21, these values were set to missing in this dataset. There were a few individuals who recorded "0" for amount of sleep, but this was not an option in the survey; so, these were set to missing in this dataset.

Source

<https://osf.io/nrd4g>

reyesem/IntroAnalysis documentation built on March 29, 2025, 3:29 p.m.