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
- Sivasankar G A, T Thirunavukkarasu, A pragmatic study of organizational behaviour in aerospace companies , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Krutuja S. Gadgil, Prabodh Khampariya, Shashikant M. Bakre, Investigation of power quality problems and harmonic exclusion in the power system using frequency estimation techniques , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- J. M. Aslam, K. M. Kumar, Enhancing cloud data security: User-centric approaches and advanced mechanisms , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- N. Yogalakshmi, Awareness on environmental issues and sustainable practices among college students - with special reference to Chennai city region , The Scientific Temper: Vol. 16 No. Spl-2 (2025): The Scientific Temper
- Dimpal Khambhati, Chirag Patel, Analyzing cardiac physiology: ECG ensemble averaging and morphological features under treadmill-induced stress in LabVIEW , The Scientific Temper: Vol. 16 No. 07 (2025): The Scientific Temper
- K. Gokulkannan, M. Parthiban, Jayanthi S, Manoj Kumar T, Cost effective cloud-based data storage scheme with enhanced privacy preserving principles , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Milindkumar N. Dandale, Amar P. Yadav, P. S. K. Reddy, Seema G. Kadu, Madhusudana T, Manthan S. Manavadaria, Deep learning enhanced drug discovery for novel biomaterials in regenerative medicine utilizing graph neural network approach for predicting cellular responses , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- D. Jayadurga, A. Chandrabose, Distribution of virtual machines with SVM-FFDM approach in cloud computing , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- V. Karthikeyan, C. Jayanthi, Advancements in image quality assessment: a comparative study of image processing and deep learning techniques , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Nisha Patil, Archana Bhise, Rajesh K. Tiwari, Fusion deep learning with pre-post harvest quality management of grapes within the realm of supply chain management , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
<< < 6 7 8 9 10 11 12 13 14 15 > >>
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

