Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 33 |
Descriptor
Source
Social Indicators Research | 33 |
Author
Robinson, John P. | 2 |
Barstad, Anders | 1 |
Bask, Miia | 1 |
Bonini, Astra N. | 1 |
Camfield, Laura | 1 |
Cawley, Justine | 1 |
Chan, Bessie P. S. | 1 |
Cheong, Selwyne W. | 1 |
Cramm, J. M. | 1 |
Cummins, Robert A. | 1 |
Daraei, Mina | 1 |
More ▼ |
Publication Type
Journal Articles | 33 |
Reports - Research | 29 |
Reports - Evaluative | 4 |
Education Level
Adult Education | 1 |
Grade 7 | 1 |
Grade 8 | 1 |
Middle Schools | 1 |
Audience
Location
Germany | 3 |
South Africa | 3 |
Australia | 2 |
China | 2 |
Hong Kong | 2 |
India | 2 |
Norway | 2 |
South Korea | 2 |
Sweden | 2 |
Algeria | 1 |
Estonia | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
General Social Survey | 2 |
Maslach Burnout Inventory | 1 |
NEO Five Factor Inventory | 1 |
What Works Clearinghouse Rating
Ha, Shang E.; Kim, Seokho – Social Indicators Research, 2013
Although the statistically significant relationship between personality traits and subjective well-being (i.e., self-reported happiness and life satisfaction) is well-known in the field of positive psychology, some scholars still cast doubt on the external validity of this finding and the strength of personality dimensions vis-a-vis other…
Descriptors: Employment Level, Personality Traits, Psychological Patterns, Well Being
Ellison, Christopher G.; Lee, Jinwoo – Social Indicators Research, 2010
A growing literature examines the correlates and sequelae of spiritual struggles. Particular attention has been focused on three specific types of such struggles: (a) divine, or troubled relationships with God; (b) interpersonal, or negative social encounters in religious settings; and (c) intrapsychic, or chronic religious doubting. To date,…
Descriptors: Religion, Religious Factors, Interpersonal Relationship, Psychological Patterns
Moore, Page Malmsjo; Huebner, E. Scott; Hills, Kimberly J. – Social Indicators Research, 2012
This study examined the nature and prevalence of electronic bullying and victimization in a sample of middle school students in a southeastern USA school. Relationships among measures of electronic bullying and victimization and global and domain-specific life satisfaction were also investigated. A total of 855 7th and 8th grade US students…
Descriptors: Middle School Students, Marital Status, Bullying, Life Satisfaction
Cramm, J. M.; Moller, V.; Nieboer, A. P. – Social Indicators Research, 2012
Our study used multilevel regression analysis to identify individual- and neighbourhood-level factors that determine individual-level subjective well-being in Rhini, a deprived suburb of Grahamstown in the Eastern Cape province of South Africa. The Townsend index and Gini coefficient were used to investigate whether contextual neighbourhood-level…
Descriptors: Socioeconomic Status, Marital Status, Income, Poverty
Moghnie, Lamia; Kazarian, Shahe S. – Social Indicators Research, 2012
The present study evaluated the subjective happiness of Lebanese college youth using a multi-item rather than a single-item subjective happiness measure. An Arabic translation of the Subjective Happiness Scale (SHS) was administered to 273 Lebanese college youth from state- and private-run higher institutions of learning, as was the Arabic Adult…
Descriptors: Factor Analysis, Psychological Patterns, Measures (Individuals), Semitic Languages
Daraei, Mina; Mohajery, Artmiz – Social Indicators Research, 2013
The stratification system in India has resulted in the socioeconomic inequality in society and defines women domestic workers as one of the lowest segments of society. This qualitative and quantitative study aims at describing the problems of female domestic workers, the relationship of their employers with them, and exploring the impact of…
Descriptors: Females, Hypothesis Testing, Foreign Countries, Observation
Kageyama, Junji – Social Indicators Research, 2013
National average happiness and the difference in happiness between women and men are positively correlated in European countries. This study focuses on this cross-country relationship and tests (1) whether, after controlling for socio-economic factors, the correlation is attributed to their direct relationship, or, alternatively, explained by the…
Descriptors: Foreign Countries, Psychological Patterns, Males, Marital Status
Yeung, W. Jean; Xu, Zhenhua – Social Indicators Research, 2012
China's oldest old population is estimated to quadruple by 2050. Yet, poverty rate for the oldest old has been the highest among all age groups in China. This paper investigates the relationship between economic stress, quality of life, and mortality among the oldest-old in China. Both objective economic hardships and perceived economic strain are…
Descriptors: Medical Services, Poverty, Income, Mortality Rate
Nolan, Brian; Winston, Nessa – Social Indicators Research, 2011
Housing is an important aspect of living standards and quality of life for older persons, but the housing-related problems they may face encompass rather different circumstances, relating to the condition of the dwelling, how well equipped it is, whether housing costs represent a serious burden, and whether the neighbourhood environment is…
Descriptors: Marital Status, Family Income, Living Standards, Quality of Life
Sayer, Liana C.; Fine, Leigh – Social Indicators Research, 2011
Married women continue to spend more time doing housework than men and economic resources influence women's housework more strongly than men's. To explain this, gender theorists point to how gender figures into identities, family interactions, and societal norms and opportunity structures. The extent of this configuration varies culturally and, in…
Descriptors: Ethnicity, Race, Marital Status, Employed Women
Khumalo, I. P.; Temane, Q. M.; Wissing, M. P. – Social Indicators Research, 2012
Age, gender, marital status, education attainment, employment status, and environmental setting explain different amounts of variance in psychological well-being and mental health. Inconsistent findings are reported for the socio-demographic variables in psychological well-being depending amongst others on the definition and measurement of…
Descriptors: Marital Status, Employment Level, Socioeconomic Status, Mental Health
Shapiro, Adam; Keyes, Corey Lee M. – Social Indicators Research, 2008
The positive link between marriage and physical and psychological well-being is well established, but whether marriage is associated with social well-being is not. Using nationally representative data from the MIDUS study (N = 3,032), the present study examines the degree to which there are marital status differences in perceived social…
Descriptors: Marital Status, Well Being, Marriage, Psychological Patterns
Bask, Miia – Social Indicators Research, 2011
In this paper, we perform a latent class factor analysis of a panel that involves two waves of data from an annual survey of living conditions in Sweden that were gathered in the years 1994-1995 and 2002-2003. We follow the same 3,149 individuals over both waves, describing them by sex, age group, family type, nationality background, education…
Descriptors: Foreign Countries, Factor Analysis, Longitudinal Studies, Violence
Kavi Kumar, K. S.; Ramachandran, Maithili; Viswanathan, Brinda – Social Indicators Research, 2009
Weight-for-squared height or body mass index (BMI) is often considered as an effective predictor of morbidity and mortality rates. This study uses BMI data from a sample of ever-married women in the age group of 15-49 years in the North Indian state of Uttar Pradesh for the year 1998-1999, to analyse the determinants of chronic energy deficiency…
Descriptors: Body Composition, Foreign Countries, Intervention, Marital Status
Pizzetti, Paola; Manfredini, Matteo – Social Indicators Research, 2008
The purpose of our study is to assess the influence of socio-demographic factors on overall and cause-specific mortality of elderly people of Parma aged 65. In particular, the paper aims at exploring the relation between mortality and living arrangement in association with marital status. Data were obtained from the General Registry Office of…
Descriptors: Marital Status, Death, Older Adults, Widowed