Environmental Influences on Well-Being: A Dyadic Latent Panel Analysis of Spousal Similarity

This article uses dyadic latent panel analysis (DLPA) to examine environmental influences on well-being. DLPA requires longitudinal dyadic data. It decomposes the observed variance of both members of a dyad into a trait, state, and an error component. Furthermore, state variance is decomposed into initial and new state variance. Total observed similarity between members of a dyad is decomposed into trait similarity, initial state similarity, new state similarity, and error similarity. Dyadic similarity in new state variance reveals that both members of a dyad change in the same direction, which is a strong indication of environmental effects. DLPA is used to examine environmental influences on life satisfaction and domain satisfaction based on 22 annual assessments of married couples in the German Socio-Economic Panel Study (N’s = 607–740). The results show high similarity in new state variance for life satisfaction and objectively identical domains (household income, housing), and less similarity for objectively less similar domains (recreation, health). This finding provides strong evidence for environmental influences on well-being. In addition, the results show high trait similarity. The implications of the latter finding for interpretation of behavioral genetics studies of well-being are discussed.     

Schooling and Factors Affecting Decisions on Schooling by Household Members in the Rural Areas of Turkey

Despite the fact that rural education has always been one of the most important means of rural development, it has been ignored in many developing countries, with the result that rural development has not achieved great success. The problems of education in rural areas are not only related to the amount the country spends on education or to the system of education. The socio-economic condition of the individuals living in these areas and the form of rural education also play an important part. The present study deals with the socio-economic factors that influence the education level which is achieved. The assessments in the study are based on data gathered in a survey of 386 households carried out in the Aegean Region of Turkey. The work consists of three parts: the state of education in rural areas; the factors adversely affecting an individual’s decision to continue at school; and the employment situation of individuals who did not continue their education. In the results section, some suggestions have been made regarding the provision of employment opportunities to individuals who have not completed their education and who have had no job training.     

Labor Unions and Life Satisfaction: Evidence from New Data

While a growing literature demonstrates the impact of socio-political factors on citizens’ quality of life, scholars have paid comparatively little attention to the role political organizations such as labor unions play in this regard. We examine labor organization as a determinant of cross-national variation in life satisfaction across a sample of advanced industrial polities. Our findings strongly suggest that unions increase the life satisfaction of citizens, and that that this effect holds for non-union members as well. Moreover, we also find that labor organization has the strongest impact on the subjective well-being of citizens with lower incomes. We confirm these hypotheses using both individual and aggregate-level data from fourteen nations. We show these relationships to have an independent and separable impact from other economic, political, and cultural determinants. The implications for the study of life satisfaction and of labor unions as political actors in general are discussed.     

Investigating Validity Evidence of the Satisfaction with Life Scale Adapted for Children

This study introduces the Satisfaction with Life Scale adapted for Children (SWLS-C) and presents psychometric findings regarding its validation. The SWLS-C was adapted from the Satisfaction with Life Scale (SWLS; Diener et al. 1985), which is one of the most commonly used measures to assess satisfaction with life in adults. Three subject matter experts adapted the SWLS by changing the wording of the item stem and response format in order to make it more understandable for children. A stratified random sample of 1,233 students (48% girls) in grades 4–7 (mean age 11 years and 7 months) provided data on the SWLS-C and measures of optimism, self-concept, self-efficacy, depression, emphatic concern, and perspective taking. The SWLS-C demonstrated a unidimensional factor structure and high internal consistency. Furthermore, differential item functioning and differential scale functioning analyses indicated that the SWLS-C measures satisfaction with life in the same way for different groups of children (i.e., with regard to gender, first language learned at home—English vs. other language(s) than English—and across different grades) at the item and at the scale level. Associations between scores on the SWLS-C and demographic variables were statistically non-significant or of small effect size. In addition, the SWLS-C showed evidence of convergent and discriminant validity in relation to the other measures. Our results indicate that the SWLS-C is a psychometrically sound instrument that demonstrated evidence of construct validity for this age group. Limitations and future directions are discussed.     

From Materialist to Post-Materialist Happiness? National Affluence and Determinants of Life Satisfaction in Cross-National Perspective

This paper takes the theory of value change as developed by Inglehart as a point of departure and tests its implications for the determinants of human happiness. It investigates whether the importance of post-material concerns for happiness, relative to that of materialist concerns, is indeed higher in rich post-industrial societies. Personal autonomy and job creativity serve as indicators for post-materialist concerns, the income domain as an indicator for materialist concerns. The main assumption is put against data for 48 countries from wave 5 of the World Values Survey, the most recent survey, which covers the full range from poor agrarian to rich post-industrial societies. Employing a multi-level design, the paper indeed reveals a quite consistent pattern towards post-materialist happiness as we move from poor to rich societies. This pattern seems to be driven by both a devalorization of material concerns and a valorization of post-materialist concerns, although the evidence suggests that the former trend is stronger and more linear than the latter.     

An Analysis of Student Satisfaction: Full-Time vs. Part-Time Students

This paper examines how full-time or part-time status affects students’ level of satisfaction with their degree programs. For our analysis, we obtained data from a survey of graduate students. The survey was conducted at a public university in Spain from 2001 to 2004. The decision to undertake paid employment while studying emerges as one of the key determinants of student satisfaction. In particular, our findings indicate that students who hold a part-time job while studying are more likely to express less satisfaction with their college experience.     

Birth Outcome Measures and Infant Mortality

Recent studies have proposed alternative birth outcome measures as means of assessing infant mortality risk; nevertheless, there hasn’t yet been an integrated analysis of these approaches. We review 14 strategies, including various combinations of birth weight, gestational age, fetal growth rate, and Apgar scores—as predictors of early neonatal, late neonatal, and postneonatal mortality, and infant mortality. Using the NCHS linked birth/infant death file for 2001, we construct multivariate logit models and assess the associations between each of the 14 key birth outcome measures and four mortality outcomes. We find that all evaluated birth outcome measures are strong predictors, but Apgar scores are the strongest among all models for all outcomes, independent of birth weight and gestational age. Apgar scores’ predictive power is stronger for Mexican-, white-, and female-infants than for black- and male-infants. Second, all birth outcome measures remain significantly associated with mortality, but their predictive power reduces drastically over time. These findings suggest a rule of thumb for predicting infant mortality odds: when available, Apgar scores should always be included along with birth weight (or LBW status) and gestational age. Additionally, these findings argue for the continued study of low birthweight, gestational age, and Apgar scores as independently salient health outcomes.     

Psychometric Evaluation of the Hebrew Language Version of the Satisfaction with Life Scale

The satisfaction with life scale (SWLS) is a widely accepted and widely used tool for measuring well-being. Although its potential as a cross-cultural index is recognized, an introduction and systematic validation of the Hebrew version is needed. Thus, the purpose of this study is: (1) to describe the process of developing the Hebrew version of the SWLS, and (2) to examine its construct validity as well as its internal consistency. Four hundred and eighty seven working adults completed the following self reported Hebrew language versions of the: (1) SWLS, (2) positive affect and negative affect scales (PANAS), and (3) the self-rated health (SRH) scale. In addition, as way of gathering additional evidence of validity, the SWLS was completed by proxy (i.e., each participant’s life partner or significant other). Confirmatory factor analysis supported a single-factor structure with significant correlations between the SWLS and the rest of the measures—PANAS scores, the SRH scores as well as the SWLS scores as measured by proxy. In addition, item-analysis supports the internal consistency of the scale. The Hebrew version of the SWLS is a valid and reliable scale and can be utilized in the Israeli context.     

Trajectory of Life Satisfaction and its Relationship with Subjective Economic Status and Successful Aging

The aim of the study was to explore the relationship between subjective economic status and indicators of successful aging to life satisfaction trajectories among the elderly in Taiwan. Data were from the four waves of “Survey of Health and Living Status of the Elderly in Taiwan”. Hierarchical linear modeling was conducted. Subjective economic status was measured by childhood economic status and time-varying economic satisfaction. Time-varying physical, mental, and social successful aging variables and demographics were also used to describe the trajectory of life satisfaction. Life satisfaction showed a slightly decreasing but generally stationary trend across time. The concurrent economic satisfaction was associated with life satisfaction trajectory, but childhood economic status was not significant. The time-varying depressive symptoms, cognitive function and social support were related to the life satisfaction trajectory. Policy on the elderly should take particular account of the economic security, mental health, and social support of the elderly.