Relationship between hours of sleep and academic achievement

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 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. 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. 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. 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.

0 II. Crosstab Analysis a) Hoaran’s analysis Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent Does the respondent do better in the exam * the hour(s) of the respondent slept last night 83 83. 0% 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. 3% no Count 2 0 7 8 13 9 20 8 67 % within the hour(s) of the respondent slept last night 100. 7% Total Count 2 1 8 10 16 9 27 10 83 % within the hour(s) of the respondent slept last night 100. 0% 90 Count 0 2 0 0 0 2 % within How often do the respondent pull an all nighter 0.

0% Other Count 1 3 3 0 1 8 % within How often do the respondent pull an all nighter 6. 0% Total Count 15 35 22 19 9 100 % within How often do the respondent pull an all nighter 100. 0% 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. Total tally shows that many students slept many hours in the night. a) William’s Crosstab Analysis Does the respondent do better in the exam * do the respondent had enough sleep last WEEK Crosstabulation do the respondent had enough sleep last WEEK Total yes no Does the respondent do better in the exam Yes Count 9 7 16 % within do the respondent had enough sleep last WEEK 27.

3% No Count 24 43 67 % within do the respondent had enough sleep last WEEK 72. 7% Total Count 33 50 83 % within do the respondent had enough sleep last WEEK 100. 0% Discussion From the above analysis, out of the 16 students who passed the exam 9 had enough sleep. Majority of those performed (12 out of 16) well slept many hours (6-9 hours). On the other hand out of the 67 respondents who performed poorly 50 slept many hours (6-9). 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.