Factors Influencing Adolescents’ Self-control According to Family Structure

We compared factors influencing adolescents’ self-control according to their family structure. Participants were 944 adolescents in five cities in South Korea (115 from single-parent families, 65 from grandparent-led families, and 764 from two-parent families). Data were collected using self-report questionnaires containing items on self-control, stress, parenting attitude, parent–adolescent communication, and family cohesion. Data were analyzed using stepwise multiple regressions with SPSS program. The factors influencing adolescents’ self-control differed across the three family structure groups. For single-parent families, stress and parental attitudes were significantly related to adolescents’ self-control (adjusted R²?=?0.37, p?<?0.001). In contrast, for grandparent-led families, family cohesion and parental attitude were significantly related to adolescents’ self-control (adjusted R²?=?0.31, p?<?0.01), while for two-parent families, stress, parental attitude, and parent–adolescent communication were related to the outcome (adjusted R²?=?0.24, p?<?0.001). Parental attitude was thus a common factor relating to self-control, regardless of family structure. On the other hand, the main factors influencing adolescents with low self-control were gender and stress. Our results confirm that adolescents’ self-control is not only affected by personal factors but also by parental and family factors. It is important to improve individual program to improve adolescents’ self-control according to family structure. The results of study may act as a base for improving individual intervention programs aimed at promoting adolescents’ self-control by factoring in family structure.     

Optimism,well-being,depressive symptoms,and perceived physical health: a study among Stroke survivors

The investigation of the relation of positive personality characteristics to mental and physical health among Stroke survivors has been a neglected area of research. The purpose of this study was to examine the relationship between optimism, well-being, depressive symptoms, and perceived physical health among Stroke survivors. It was hypothesized that Stroke survivors’ optimism would explain variance in their physical health above and beyond the variance explained by demographic variables, diagnostic variables, and mental health. One hundred seventy-six Stroke survivors (97 females, 79 males) completed the Revised Life Orientation Test, the Center for Epidemiological Studies Depression Scale, two items on perceived physical health from the 36-item Short Form of the Medical Outcomes study, and the Identity scale of the Illness Perception Questionnaire. Pearson correlations, hierarchical regression analyses, and the PROCESS approach to determining mediators were used to assess hypothesized relations between variables. Stroke survivors’ level of optimism explained additional variance in overall health in regression models controlling for demographic and diagnostic variables, and mental health. Analyses revealed that optimism played a partial mediator role between mental health (well-being, depressive symptoms and total score on CES-D) variables and overall health.     

Ego depletion improves insight

Initial acts of self-control can reduce effort and performance on subsequent tasks – a phenomenon known as ego depletion. Ego depletion is thought to undermine the capacity or willingness to engage executive control, an important determinant of success for many tasks. We examined whether ego depletion improves performance on a task that favours less executive control: insight problem solving. In two experiments, participants completed an ego-depletion manipulation or a non-depleting control condition followed by an insight problem-solving task (i.e., matchstick arithmetic). Participants in the depleting condition demonstrated greater insight problem-solving accuracy than those in the non-depleting control condition. Priming theories of willpower did not impact these results. Although ego depletion is widely regarded as a “state of impairment”, attendant decreases in executive control may foster insightful thinking.     

Religion and mental health among Nepal earthquake survivors in temporary tent villages

The aim of this study was to explore the relationship between mental health and the perceived importance of religion and the frequency of prayer among 200 children ages 10–18 years who lived in temporary camps for earthquake survivors in Nepal. The participants were examined using the Child Behavior Checklist (CBCL) 6–18 and were asked about the importance of religion in their lives. In contrast to expectation that high perceived importance of religion and prayer frequency have positive impacts on mental health after earthquakes, the results indicated significantly higher levels of withdrawal/depression. The group that prayed less frequently after the earthquakes had significantly higher scores for somatic symptoms, withdrawal/depression, anxiety/depression, social immaturity, internalising problems, and total CBCL scores. However, the clinical risk group (T score of 65 or higher in the CBCL total score), no significant difference according to the importance of religion showed and frequency of daily prayer.     

Do relational and structural characteristics of negative school environments independently predict immigrant adolescents’ academic achievement?

A critical issue facing the majority of immigrant adolescents in U.S. public schools is persistent academic underperformance. Using data from the Children of Immigrants Longitudinal Study, this study investigates the extent to which negative social environments in U.S. public schools predict the academic achievement of immigrant adolescents. Importantly, we simultaneously examine the roles of both the relational (individual-level) and structural (school-level) characteristics of these negative social environments. Multilevel structural equation modeling revealed that immigrant students who are embedded in more negative relationships (e.g., having peers who discriminate against them) have lower levels of academic achievement. These predictive effects of individual-level negative social environments on academic achievement are mediated by both perceived school safety and educational expectations. Furthermore, we find double mediation effects (i.e., three-pathway mediations) via perceptions of school safety and educational expectations. The existence of these double mediation effects implies that relational characteristics strongly predict immigrant adolescents’ perceptions, attitudes, and school outcomes. Finally, we find that structural characteristics of negative social environments in U.S. public schools (i.e., total student enrollment and school-level dropout rate) also negatively predict immigrant adolescent achievement. We discuss the implications of these findings for improving immigrant adolescents’ achievements in U.S. public schools.     

The Impact of Home Ownership on Life Satisfaction in Urban China: A Propensity Score Matching Analysis

China has implemented a series of socioeconomic reforms since 1978. One of the reforms allows urban residents to purchase their own houses rather than renting houses from state institutions which has resulted in a rapid increase in home ownership. This paper estimates the impact of home ownership on life satisfaction in urban China on the basis of the 2010 wave of the China General Social Survey. Special attention is paid to the methodological problem of confoundedness between the determinants of home ownership and life satisfaction. Propensity score matching (PSM) is applied to control it. The results show that PSM reduces upward estimation bias caused by confoundedness and that it is more appropriate to control confoundedness than ordered probit regression. The estimates furthermore indicate that home ownership has a significant positive impact on life satisfaction of medium- and high income urban residents. For low income urban residents, the impact is also positive, though insignificant. The outcomes connect to the objectives of national development policy and thus have several important policy implications. First, the central and local governments, especially in provinces where it is still low, may want to continue stimulating home ownership as it enhances life satisfaction. Secondly, specific programs may be designed to make home ownership financially affordable for low income groups. Thirdly, local governments may want to initiate or intensify urban (renewal) programs to improve poor public facilities including public transportation, green space and sports accommodations in the immediate vicinity of depressing low income neighborhoods.     

Retrieving relevant factors with exploratory SEM and principal-covariate regression: A comparison

Behavioral researchers often linearly regress a criterion on multiple predictors, aiming to gain insight into the relations between the criterion and predictors. Obtaining this insight from the ordinary least squares (OLS) regression solution may be troublesome, because OLS regression weights show only the effect of a predictor on top of the effects of other predictors. Moreover, when the number of predictors grows larger, it becomes likely that the predictors will be highly collinear, which makes the regression weights’ estimates unstable (i.e., the “bouncing beta” problem). Among other procedures, dimension-reduction-based methods have been proposed for dealing with these problems. These methods yield insight into the data by reducing the predictors to a smaller number of summarizing variables and regressing the criterion on these summarizing variables. Two promising methods are principal-covariate regression (PCovR) and exploratory structural equation modeling (ESEM). Both simultaneously optimize reduction and prediction, but they are based on different frameworks. The resulting solutions have not yet been compared; it is thus unclear what the strengths and weaknesses are of both methods. In this article, we focus on the extents to which PCovR and ESEM are able to extract the factors that truly underlie the predictor scores and can predict a single criterion. The results of two simulation studies showed that for a typical behavioral dataset, ESEM (using the BIC for model selection) in this regard is successful more often than PCovR. Yet, in 93% of the datasets PCovR performed equally well, and in the case of 48 predictors, 100 observations, and large differences in the strengths of the factors, PCovR even outperformed ESEM.