To investigate the relationship between Socioeconomic Status and Subjective Wellbeing among Rural and Urban, Scheduled Caste and Non-Scheduled Caste School Student (original) (raw)
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2021
It has been drawn from extensive literature and community-based studies that in developing nations Socioeconomic status (SES) is a strong predictor of mental health and wellbeing. Therefore, Socioeconomic status can affect the subjective wellbeing of school students in different ways. This study was designed to investigate the relationship between Socioeconomic status and subjective wellbeing (SWB) in a sample (n = 480) of senior secondary school students age ranged from 15-18 years, almost equal number of male and female participants belonging to urban and rural areas of Himachal Pradesh, India. The subjects were administered with measures of SES and SWB. The findings of the study revealed a negative correlation between SES and SWB, where SC and NSC, school students differ in SWB according to the low and high SES and this difference was noticeable among urban and rural students as well. The research implications recommend government and non-government organizations should come forw...
This paper intends to present a general survey of General Wellbeing of Senior Secondary School Students of Haryana State. For the purpose, data of 400 school students, studying in the Senior Secondary Schools of Haryana State, was collected and analysed by using mean, standard deviation and ‘t’ test. Findings of the study are – (a) Urban male and urban female have approximately equal GWB score. (b) Rural female senior secondary school students have better GWB score than rural male subjects. (c) Rural male senior secondary school students obtained lowest GWB score among all the subjects.
The New Educational Review, 2021
The aim of the study was to investigate the influence of place of living on psychological well-being of students studying in senior secondary schools and to test for interaction effects of place of living and academic achievement on psychological well-being. The analyzed data set contained information on 519 boys and girls in the 11th grade from the Kashmir valley of Jammu and Kashmir India. The study has a survey type design. Psychological well-being scale developed by Dr. Devendra Singh Sisodia and Ms. Pooja Choudhary (2012) has been used. The marks obtained in science by students served as the indicator of academic achievement. The statistical analysis was 2 ×3 (ANOVA) factorial designs. Results reveal a significant effect of the place of living on psychological well-being and show no significant interaction effect between the academic achievement levels (groups) in science and the place of living in terms of the psychological well-being of senior secondary students.
Socio-demographic Correlates of Subjective Well-being in Urban India
Social Indicators …, 2011
This study aimed to explore subjective well-being (SWB) in an urban Indian sample. Adults (n = 1099) belonging to two wards in the city of Bangalore in South India, responded to a study-specific questionnaire. This paper is based on data generated as part of an ongoing larger study looking at correlates of SWB. Almost equal number of men and women responded to the study and their age ranged from 20 to 81 years (mean age 37 years). Majority of them were married, Hindus, from middle socio-economic status, had studied above pre-university level and more than half were earning. The mean scores on positive affect (40.9), negative affect (27.6) and life satisfaction (24) suggested above average levels of SWB. Higher age, being married, having higher education, higher income and working in a full time job seemed to improve life satisfaction and decrease negative affect. Religion was also significantly associated with negative affect. Step-wise regression analysis suggested that only education and income were important predictors of positive affect, while negative affect was better predicted by age, income, work status and religion. Life satisfaction was predicted by income, age and education. The important correlates of SWB for men and women were somewhat different. Overall, sociodemographic variables have minimal effect on SWB in urban India and research needs to explore other predictors of SWB.
Adolescent psychological well-being & sociodemographic profile in Kerala, India
International journal of health sciences
Summary: There is clear indication that a person's innate level of psychological well-being is significantly influenced by their social environment and developmental history. The study was conceptualized in the context of research on the passage of teenagers into adulthood. The investigation of adolescents' psychological wellbeing was the study's main objective. 100 school-aged youths from Kerala's Kozhikode District, ranging in age from 15 to 17, made up the sample. The mean, standard deviation, and T-test were used to investigate the relationship between adolescents' psychological wellbeing and their sociodemographic profile. Findings: According to the mean score, 44% of schoolchildren reported great psychological well-being, compared to 56% who reported low psychological well-being. In terms of the manifestation of psychological well-being and sociodemographic profiles, respondents from different age groups demonstrated considerable disparities. The study'...
General well-being of senior secondary school students with respect to demographic variables
2018
In the present time students encounter many problem related to general well-being. This paper intends to present a general survey of General Wellbeing of Senior Secondary School Students of Haryana State. For the purpose, data of 640 school students, studying in the Senior Secondary Schools of Haryana State, was collected and analysed by using mean, standard deviation and 't' test. Findings of the study are-(a) rural students general well-being is better than urban students. (b) male students general wellbeing better than female senior secondary school students.
An Examination of the Correlation between Socioeconomic Status and Mental Health
Socioeconomic status, mental health both are the most important determinant of an individual's wellbeing. The relationship between socioeconomic status and mental health has received the most attention in recent years. Many types of research done on this topic, this study also try to find out the relationship between socioeconomic status and mental health. In these survey 450 respondents selected from different parts of society both male and female are includes and income level is divided into three type's high income, middle income, and low-income level. All respondents are between thirty to fifty years. All primary data collected through a questionnaire. This study tests several hypotheses about the underlying causal structure of the positive relationship between socioeconomic status and mental health. Demographic information and happiness index (verma &verma) used in this survey for collecting information. This survey reveals that economic status positively affects the mental health. Most of the peoples have a quality life with the strong economic condition but some exemption also finds out that are happier than other with the weak economic condition. Around 69.6% respondents think money brings depression, stress, and angry behavior.
Social determinants of health and well-being among municipal school children in Mumbai
International Journal Of Community Medicine And Public Health, 2017
Background: HBSC seeks to identify and explore the extent of the inequalities related to socioeconomic status (SES), age and gender among the younger age group, and highlight the need for preventive action. Hence, this study was carried out, to find out the social context as a determinant of their health and well-being. The objectives of the study were to study the socio-demographic characteristics of the students; to find the social determinants and its association with their perceived health outcomes.Methods: The study was carried out among 426 Municipal school students in Mumbai. They were enquired about their socio demographic characteristics, their personal habits and behaviour, relationship with their parents, siblings and friends, performance in school, academic pressures, and also about any health related complaints if they had. Results: The study shows less communication of students with their parents, more so with their fathers’. Students were seen to have more friends and...
The PersonalWell-being Index-school children (PWI-SC; Cummins and Lau 2005) measures well-being of adolescents. The study aimed at validating psychometric properties for the English and the Hindi translated version of PWI-SC in Indian context. Data from 1,301 students, aged 13–18 years (mean age=15.40 years, SD=1.33) was collected. The English and Hindi version confirmed one-factor solution of the PWI-SC. The convergent validity was supported through positive correlations with Flourishing Scale (FS; Diener et al. 2010) and Brief Multidimensional Students Life Satisfaction Scale (BMSLSS; Huebner et al. 2004). The effect of demographic variables on different domains of PWI-SC indicated that adolescents who resided in rural areas and those who attended private school possessed a significantly higher score on PWISC. Well-being declined as age increased from early adolescent to middle adolescence to late adolescence. The results of this study are in agreement with the previous literature.
The Social Science Review A Multidisciplinary Journal, 2024
This study aimed to explore the positive mental well-being among students in Purulia district, West Bengal, with a focus on gender, institution and residential disparities. Employing a descriptive survey approach, information was gathered from 513 participants through the Positive Mental Health scale (PMH). Both descriptive and inferential statistical techniques, including t-tests, were utilized for the analysis. The outcomes unveiled no noteworthy distinctions in positive mental well-being between male and female, students of teachers training institution and other students or between those residing in rural and urban areas within Purulia district. These findings highlight a consistent level of positive mental health across genders, institution and residential backgrounds, emphasizing the necessity for comprehensive mental health initiatives within educational environments.