STRESS AND ACADEMIC ACHIEVEMENT IN RELATION TO DURATION OF SLEEP AND COURSE
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2017.08.1.11Keywords:
Stress, Sleep, Academic performanceDimensions Badge
Issue
Section
License
Copyright (c) 2017 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
An average student gets 7 hours of sleep instead of the desirable 9.2 hours. This lack of sleep makes students less concentrated, and reduces their cognitive abilities. All this leads to decreased academic achievement. The study aimed to elucidate the effect of duration of sleep on stress and academic achievement in students studying professional and non-professional courses. A total of six hundred and eighty students, aged 20 to 25 years participated in this research. Purposive sampling technique was applied to select theAbstract
subject. The groups formed on the basis of duration of sleep e.g. long sleepers (more than nine hours out of twenty- four hours) and short sleepers (less than six or fewer hours out of twenty- four hours). These are independent variables which were manipulated through selection. A self- biographical sheet and The Hassles Scale (Lazarus and Folkman, 1981)were used for the
purpose of data collection. Student’s last three years academic performance was considered as their academic achievement. 2 x 2 Analysis of variance (ANOVA) was carried out to find out the significance of difference between the means of groups as well as interaction effects. A significant difference was found between long and short sleepers on stress variable. short sleepers were more stressful than long sleepers. Course opted by the students also differed on stress level. Professional group scored high on stress variable. A significant difference has been recorded for course variable. Professional group scored high on academic achievement variable. Duration of sleep had no significant effect on academic achievement.
How to Cite
Downloads
Similar Articles
- Anita M, Shakila S, Stochastic kernelized discriminant extreme learning machine classifier for big data predictive analytics , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Selva Kumar D, Revisiting the challenges of disinvestment practices and central public sector enterprises (CPSEs): Indian empirical evidence , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Regasa Begna, Worku Masho, Wondosan Wondimu, Yaregal Tilahun, Tilahun Bekele, Benyam Tadesse, Haile Negash, Participatory evaluation and demonstration of productive performance of Bovans Brown chicken under village production system in Menit Shasha Woreda, West Omo Zone, Ethiopia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Engida Admassu, Classifying enset based on their disease tolerance using deep learning , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- B. Kalpana, P. Krishnamoorthy, S. Kanageswari, Anitha J. Albert, Machine learning approaches for predicting species interactions in dynamic ecosystems , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Susithra N, Rajalakshmi K, Ashwath P, Performance analysis of compressive sensing and reconstruction by LASSO and OMP for audio signal processing applications , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Ankeeta Vispute, Muskaan Vasaya, Sagar Deshpande , Impact of rheumatoid arthrtis on functional limitations of wrist and hand , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Pravin P. Adivarekar1, Amarnath Prabhakaran A, Sukhwinder Sharma, Divya P, Muniyandy Elangovan, Ravi Rastogi, Automated machine learning and neural architecture optimization , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Balaji V, Purnendu Bikash Acharjee, Muniyandy Elangovan, Gauri Kalnoor, Ravi Rastogi, Vishnu Patidar, Developing a semantic framework for categorizing IoT agriculture sensor data: A machine learning and web semantics approach , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Abhishek Pandey, V Ramesh, Puneet Mittal, Suruthi, Muniyandy Elangovan, G.Deepa, Exploring advancements in deep learning for natural language processing tasks , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
<< < 4 5 6 7 8 9 10 11 12 13 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Hema Khanna, Poonam Singh, Seema Rani Sarraf, Shikha Gola, STRESS AND JOB SATISFACTION IN EMPLOYEES WITH TYPE- A AND TYPE- B PERSONALITY , The Scientific Temper: Vol. 9 No. 1&2 (2018): The Scientific Temper
- Poonam Singh, Seema Rani Sarraf, Pranay Kumar Tripathi, Chandini Gupta, Progressive Muscular Relaxation in Schizophrenic Patients : A Pilot Study , The Scientific Temper: Vol. 7 No. 1&2 (2016): THE SCIENTIFIC TEMPER