Proposal1.docx

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WORK HOURS AND ITS EFFECT ON SLEEP

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WORK HOURS AND ITS EFFECT ON SLEEP

Work Hours and its Effect on Sleep
Erica K. Fernandez
LSUA
Dr. Richard Elder
PSYCH 3017

Method

Participants

My participants will include 30+ (15 male and 15 female selected at random) students who are currently enrolled at Louisiana State University Alexandria and at the local college in my area Georgia State University ages 18 and up. I intend on recruiting them using both of the campuses Facebook group pages and some student email listings. Partakers will have the option to freely take part in a survey that will assist with a psychological research study. There will be no age maximum on this study, nor will race and/or gender be a deciding factor in picking the participants although they will be asked about the latter at the end of the survey process for the results. While I assume that individuals who work full or part-time hours may be more beneficial to this study, anyone one who is employed and a college student over the age of 18 are encouraged to participate.

Materials

The survey consists of 9 multiple-choice questions that should take no more than 3 minutes to complete. The survey was created by Fernandez (2021) and utilizes questions relating to demographics and sleep habits. Also available upon start of the survey, questions 1-3 will be the Informed consent, that contains the researcher’s contact information, guarantee that there are nor will be any penalties for not completing and/or participating in the survey, and ensure all information retained from survey will stay anonymous and will not be used for any other purposes outside of this study. Following consent, the second portion of questions (3-6) refer to participant’s employment status, job classification (part-time or full-time) and average hourly amount of sleep on a daily basis. The remaining questions focus on race, age, and gender. The assessment has a significant level of legitimacy due to the questions aiming to find the connection between work and sleep. Limitations that could affect the reliability and validity of the study would be if participants choose to answer questions with no honest and/or honorable intention.

Procedure

The purpose of this study will be discovered using an non-experimental design and Factorial ANOVA. This study consists of 2 independent variables (gender and hours worked) and 1 dependent variable (sleep). The survey, which will be posted on Google Forms, will via a post on Facebook with the link attached and can be accessed from their personal Facebook app. First, participants who attend LSUA will receive an email Dr. Elder in the psychology department that invites them to take part in various surveys from students who are currently enrolled in PSYC 4017 to complete their research. If the student wishes to participate, a list of survey links will be populated on the screen and students will have the option to select from the selection of surveys offers. At the conclusion of the survey, there will be no additional requirements from participants.

Results

In this study, the research question is whether or not the number of hours you sleep is affected by the number of hours you work. It is to be expected that there will be some considerable correlations between the two variables, which also shows a relationship with the hypothesis for this study that states that employees who work less hours get more sleep than those employees who work more hours. The second hypothesis which states that an employee that is older will receive less sleep per night than one who is younger in age. If there is a substantial correlation between the two, the Pearson Correlation should be applicable since I would like to find the correlation between the number of hours working and the hours of sleep. I do not feel that I can make use of Factorial ANOVA since we will only be comparing the sleep hours between younger employees and old employees, which can be analyzed by an independent-samples t-test. However, if necessary, using Factorial ANOVA, I would change the second independent variable to the current position of the employee, whether or not the employee is freelance, regular, supervisor, and manager, so it would truly be a factorial design on its own. Therefore, if the correlation is indeed proved to be positive, it would lead to the accepting the null hypothesis as the experimental hypothesis.

References
Fernandez, E. How Much Sleep Are You Getting? (2021). Retrieved May 22, 2021, from https://docs.google.com/forms/d/1C7gICLWXH9WMYOxzU4rAkGgzMSnKKvi6-dkEshEYKVc