Monitoring Aggression In Adolescents: Chandra Namaskara As A Panacea
Journal Title: Elysium Journal of Engineering Research and Management - Year 2017, Vol 4, Issue 6
Abstract
Aggression in adolescence is a key point of focus for psychologists, educationists, parents, and teachers. On the other hand, interdisciplinary researches with special reference to yoga and psychology are growing rapidly in this era of applied science. Despite rapidly growing scientific literature on yoga and its application, there has been no study conducted to determine whether Chandra Namaskrar (a yogic practice) affects the aggression level in adolescents. The current study aimed at exploring the effect of Chandra Namaskrar on the aggression level of adolescents. A sample consisting of 40 intermediate and undergraduate students from Gayatri Vidyapeeth and Dev Sanskriti Vishwavidyalaya, Haridwar, Uttarakhand, respectively, was taken. The entire sample belonged to the age group of 15-20 years. Chandra Namaskrar practice was given to each and every subject of the group for a period of 30 days regularly. In this research, pre-post single-group design has been applied. Participants were given a questionnaire named as "Aggression Scale" (A-scale) which was developed by Pal and Naqvi (1983) for measurement of aggression score. Paired sample t-test and eta-squared statistics have been used for comparing pre- and post-mean scores and computing the magnitude of the effect of intervention, respectively. There was a statistically significant decrease in the aggression score from pre-test (M = 63.85, SD = 21.75) to post-test (M = 49.95, SD = 14.53), t (39) = 8.42, P < 0.01 (two-tailed). The mean decrease in aggression score was 13.9 with a 99% confidence interval. The eta-squared statistics was 0.64, which indicates large effect of the intervention on aggression. The findings revealed that the practice of Chandra Namaskrar is highly effective in reducing the aggression level in participants, which was significant at 0.01 level of significance.
Authors and Affiliations
Manoranjan Tripathy
Keywords
Related Articles
- EP ID EP364024
- DOI -
- Views 103
- Downloads 0
AN INTEGRATED FRAMEWORK FOR PARALLEL TRAINING AND CLASSIFICATION OF ECG SIGNAL
Recently, various techniques are developed to analyze and classify the Electrocardiograph (ECG) signal to know the threaten results. Many real time development tools such as VLSI, DSP, etc., are availabl...
STATIC ANALYSIS FOR EXTRACTING PERMISSION CHECKS IN ANDROID USING EVENT GRAPH TECHNIQUE
Applications for Android are written in Java which is then compiled into Dalvik byte code. Memory and processing power are limited, when the byte code is improve to run on devices. An Android applicat...
FEATURE SELECTION IN CT IMAGES BASED ON PARTICLE SWARM BASED OPTIMIZATION
Lung diseases are the common disorder that can affect the lungs and create breathing problem in all the humans. CT images plays an important role for diagnosing the lung diseases.This project proposes a Particle swarm ba...
ROBUST SCENE TEXT RECOGNITION WITH SPARSE BELIEF PROPAGATION
Content-based image analysis task requires text detection in natural scene images. The character candidates in text detection on minimizing regularized variations termed as Maximally Stable Extremely Regi...
Brain Tumor Classification Using Machine Learning Algorithms
A brain tumor is a collection of tissue that is grouped by a gradual addition of anomalous cells and it is important to classify brain tumors from the magnetic resonance imaging (MRI) for treatment. Human investigation i...