Relationship between hours of sleep and academic achievement

Document Type:Research Paper

Subject Area:Sociology

Document 1

Quantitate data is collected for instance the number of hours respondents slept. The data is then analyzed using SPSS program and then presented in cross-tabulations and frequency tables. Data analysis results reveals a negative correlation between the number of hours sleep and academic performance. Students who are deprived of sleep register poor academic performance thus supporting the hypotheses proposed. Although results of two sets of data collected and analyzed do not support the hypothesis, the open up a need for farther research in order to understanding the relationship between prevalence of sleep disorders in school and academic performance. This gap in knowledge is caused by the interconnection in sleep disorder lack of enough sleep. In fact, lack or deprivation of sleep is a form of sleep disorder hence its possible impact on academic performance cannot be ignored. INTRODUCTION Our research question is “Is there a correlation between sleeping hours and people academic achievement?” it was our view that due to increased incidences of sleeping disorders among college students including ourselves, an inquire into the impacts sleep h has on academic achievement would be important. We observed that many students were staying long hours in the library studying for the exams and still scored unsatisfactorily grades. In our humanly thinking, we expected students who study more to have excellent grades compared to those who spent minimal hours in the Library. This topic of research is important because it will unravel the mystery hidden in the relationship between sleep and academic performance. Armed with this information, students will be able to make informed decisions when it come sleeping and studying.

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Importantly all potential readers of this research should be interested learning significance of study hour and class performance. In this sense, they should pay keen attention on results analysis and explanation with a view to making informed decision in this matter. Importantly, the results from this research will be crucial among students, teachers and education policy makers in investigating the correct balance between sleep and study. This knowledge may greatly contribute into reduction in frustration caused by poor grades especially to students who are unable to create balance between the two. The topic of sleep and academic performance has attracted unprecedented interest among research in a bid to understand if the two really correlate. According to the article by Garii study time in schools and level of academic performance is greatly associated with sleep patterns.

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In addition, long nights of studying are a major cause of disrupted understanding of learning materials taught in the following day. With this understanding it is plausible to assume that extra night studying causes academic problems and ultimately poor grades among college students. Sleep disruption, lack of sleep extreme short and long sleep are some sleep disorder which to a great extend impacts on students performance. Sleep loss not only makes one sleepy during the day time but also may cause other health complications. Students who are deprived of sleep tend to be poor in problem solving attention span. Among children, sleep is highly affected by evening tea and coffee. The author suggests that sickness such as headache, earache and teeth problems may contribute dearly to disrupted sleep and students. Jane F.

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Gaultney in her article sought to examine risk of sleep disorders in colleges based on gender and age and its possible impact on students GPA. According to the article, sleep deprivation is common in colleges and is the main cause day sleepiness. Jane attributes a number of sociological and biological factors to this disorder which vary based on gender. The article argues that lack of enough sleep and sleep disorder causes poor attention in class especially on tasks that require problem- solving. The survey will be distributed to 100 Marianopolis students by using convenient sampling technique, therefore we choose the sample group form our social environment. Maximizing the variety of programs within this sample is very important for our research, because as we discover from literary review that the programs studied by the students have significantly effect on the result of finding the correlation between sleep and grade (Gaultney, J.

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P91-97). The survey created by our group is a “paper and pencil” style questionnaire as mentioned before, so we don’t need any other material other than papers and pencils, our group will have 100 hard copy surveys and 100 pencils to distribute to the respondents. We also created a plan for selecting the participants, because we want to maximize the variety of the programs. Does the respondent do better in the exam * the hour(s) of the respondent slept last night Cross tabulation the hour(s) of the respondent slept last night Total 2 3 4 5 6 7 8 9 Does the respondent do better in the exam yes Count 0 1 1 2 3 0 7 2 16 % within the hour(s) of the respondent slept last night 0. no Count 2 0 7 8 13 9 20 8 67 % within the hour(s) of the respondent slept last night 100. Total Count 2 1 8 10 16 9 27 10 83 % within the hour(s) of the respondent slept last night 100.

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Discussion Irrespective of the hours slept, 19. did well in the exam whereas 80. Total Count 15 35 22 19 9 100 % within How often do the respondent pull an all nighter 100. Discussion The tabulated results show that 15% of all the respondents usually pull an all-night more than 3 times a week, 35% once a week, 22% 2-3 times a month and 19% never pull an all-night. Majority of the students (72%) thus do not get enough sleep. c) Sonia’s Cross Tabulation Analysis The category of the respondent * the hour(s) of the respondent slept last night Crosstabulation the hour(s) of the respondent slept last night Total 2 3 4 5 6 7 8 9 The category of the respondent 60 Count 0 1 0 3 2 0 0 0 6 % within the hour(s) of the respondent slept last night 0. Count 1 0 5 4 8 5 11 8 42 % within the hour(s) of the respondent slept last night 50. No Count 24 43 67 % within do the respondent had enough sleep last WEEK 72.

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Total Count 33 50 83 % within do the respondent had enough sleep last WEEK 100. Discussion From the above analysis, out of the 16 students who passed the exam 9 had enough sleep. Out of the 67 students who failed in the exam 43 never had enough sleep previous week. Therefore it is plausible to conclude that studnts who never get enough sleep tend to register poor performance compared to those who get enough sleep. A keen look at the results shows that out of the studnts who slept many hours majority performed poorly. With this results, we can confidently conclude that the few the hours of sleep, the poor the academic performance. The two articles thus support our hypothesis by establishing a negative correlation between hours of sleep and academic achievements among college studnts. Examining Sonia’s and Jiale’s crosstabulations, prevalence of poor sleeping hours is conformed.

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Category 60 had many respondents sleeping for few hours (2-5 hours) and only 2 slept between 6-9 hours. A. Gunning, M. J. Psychological treatment of reported sleep disorder in adults with intellectual disability using a multiple baseline design. Journal of Intellectual Disability Research, 47, 191-202 Gaultney, J. Journal of Consumer Psychology (John Wiley & Sons, Inc.

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