Sleep Study
Methods
Participants
The study participants will comprise students currently enrolled in the Southern New Hampshire University (SNHU) Online Studies program. It is anticipated the participants will be between 7-12 students. To ensure we have a representative population, the researcher will ensure they have an equal number of participants representing males and females. Having a balanced sample can generalize the study results for the population under study, and both genders will be equally represented in the results. For this reason, the study will rely on purposive sampling when selecting the population to participate in the study. The main requirement for the prospective study participants is they should be currently enrolled students of the SNHU Online Studies program. The students will be requested to participate in the study, and only those who show willingness will be included.
Materials
The study will rely on a survey to gather data. Qualtrics will be the tool used to create and administer the survey. Qualtrics is an online platform endorsed by the SNHU for use in this project, and it offers an easy and intuitive way of creating and administering the survey (Molnar, 2019). Due to its relative ease of use, Qualtrics offers the study participants an easy way to access the study survey and respond. For the researcher, it is easy to create questions and gather data from the survey tool after the respondents have finished answering. The best thing about the survey tool is that you can generate test responses to see what the data set and report will look like before sending the survey to the study participants (Molnar, 2019). Any corrections can then be made, ensuring one captures the correct data.
Procedures
To ensure we have the required study participants, the survey will only be sent to students interested in participating in the study. The students will receive a link to the survey in their emails, and they will be required to answer the questions truthfully. We can determine the students who receive the survey link with purposive sampling. The goal was to ensure we had a balanced study representing all genders. Therefore, before the link is sent out, the researcher will gather the students email addresses and determine who will receive the survey. The survey questions will require the students to offer information on the average number of hours they sleep each night, how many hours they study at night, if they ever go to sleep right after studying, whether sleeping right after studying assists with memory retention and their daily stress levels. The variables for the study will be analyzed to establish if the study hypothesis is confirmed or rejected.
The SNHU has authorized the study, and only students enrolled in SNHU are allowed to participate in the study. The researcher will invite interested participants to participate in the survey by posting fliers around the school and on social media pages of the school. The interested participants will respond to the email provided with information about their name, gender, and the online course. The researcher will then select the study participants who will participate in the study based on their identified gender and if they are enrolled in an online study program. These selected participants will receive a consent form stating what is required of them and the data collected for the research. The study will only include those participants who respond affirmatively in the consent form. A study participant will have the option of refusing to proceed with the survey even if they have already given their consent (Perrault & Keating, 2018). To guarantee the privacy...
…are other supporting studies showing the same, it is beneficial to confirm the results of those studies. Students who prefer to study then stay awake after studying might have lower memory retention as compared to those who sleep right after studying. The study results will add to emerging studies demonstrating the importance of sleeping after studying. It might turn out that dosing in class might not be a bad thing after all. Also, the sleep duration will matter, too, since it is recommended that students sleep for about 8 hours. Therefore, we expect the study results to indicate that the students who had a higher memory recall were the ones who slept tights after studying, and they slept for the recommended duration of 8 hours. Those who sleep for fewer hours will not have a comparable memory recall. We do not expect to have any noticeable difference between genders. Male and female students with the same study and sleep patterns will demonstrate similar memory recall. Therefore, we can confirm that gender differences do not affect memory recall.Limitations of the study will be that the researcher might be biased in the selection of the students. With a determination to have an equal number of male and female students, the researcher might be familiar with some of the students and include them in the study. While the bias might not affect the study results, it is worth noting. The number of participants is low, and the generalizability of the study cannot be done. The focus of the study is on online students only. Therefore, there is a further limitation on the generalizability of the study for other student populations or students participating in regular classroom studies. Future research should increase the number of study participants and eliminate the need to control for gender.…
References
Bender, S., Jarmin, R. S., Kreuter, F., & Lane, J. (2020). Privacy and confidentiality. In Big data and social science (pp. 313-331). Chapman and Hall/CRC. https://www.taylorfrancis.com/chapters/edit/10.1201/9780429324383-12/privacy-confidentiality-stefan-bender-ron-jarmin-frauke-kreuter-julia-lane
Boileau, E., Patenaude, J., & St-Onge, C. (2018). Twelve tips to avoid ethical pitfalls when recruiting students as subjects in medical education research. Medical Teacher, 40(1), 20-25. https://www.tandfonline.com/doi/abs/10.1080/0142159X.2017.1357805
Humphreys, R. K., Puth, M.-T., Neuhäuser, M., & Ruxton, G. D. (2019). Underestimation of Pearson’s product moment correlation statistic. Oecologia, 189(1), 1-7. https://link.springer.com/article/10.1007/s00442-018-4233-0
Kaliyadan, F., & Kulkarni, V. (2019). Types of variables, descriptive statistics, and sample size. Indian dermatology online journal, 10(1), 82. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6362742/
Molnar, A. (2019). SMARTRIQS: A simple method allowing real-time respondent interaction in Qualtrics surveys. Journal of Behavioral and Experimental Finance, 22, 161-169. https://www.sciencedirect.com/science/article/abs/pii/S2214635018302636
Perrault, E. K., & Keating, D. M. (2018). Seeking ways to inform the uninformed: Improving the informed consent process in online social science research. Journal of Empirical Research on Human Research Ethics, 13(1), 50-60. https://journals.sagepub.com/doi/abs/10.1177/1556264617738846
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