Always look on the bright side of life? Exploring the between-variance and within-variance of emotion regulation goals

Currently, emotion regulation goals are being perceived as highly situational. This assumption might be wrong, though, as the preeminent measure [the intraclass coefficient (1), ICC(1)] overestimates the proportion of within-variance under the condition of measurement error. We therefore empirically test whether emotion regulation goals represent more of a between-person or a within-person phenomenon, using the reliability-adjusted ICC(1). A total of 305 students participated in a daily diary study and answered a questionnaire about their emotion regulation goals in the most negative event of the day over the course of 9 days. Multilevel analyses suggest that emotion regulation goals vary more between persons than heretofore assumed, especially for hedonic goals, but also for social goals. Besides, we show substantial differences in the within-variance across individuals. We conclude by discussing theoretical implications for general and clinical psychology.

A multilevel Multitrait–Multimethod Analysis of Self– and Peer–Reported Daily Affective Experiences

We examined the psychometric properties of an experience–sampling measure of affect (PANAS) using data from self– and peer reports. A multivariate multilevel model was used to assess the reliability of the latent PANAS scales at the within– and between–person level. Findings suggest satisfying internal consistencies for self– and peer reports of affective experiences at both levels of analysis. Convergent and discriminant validity of the two affect scales were examined by means of a multilevel multitrait–multimethod approach (MLM–MTMM) indicating distinct findings at the within– and between–person level. These findings provide further insights into the structural relations between the two PANAS scales: Whereas positive and negative affect were unrelated at the between–person level; they were negatively correlated at the within–person level. Copyright © 2010 John Wiley & Sons, Ltd.

Do We Overestimate the Within-Variability? The Impact of Measurement Error on Intraclass Coefficient Estimation

Many psychological phenomena have a multilevel structure (e.g., individuals within teams or events within individuals). In these cases, the proportion of between-variance to total-variance (i.e., the sum between-variance and within-variance) is of special importance and usually estimated by the intraclass coefficient (1) [ICC(1)]. Our contribution firstly shows via mathematical proof that measurement error increases the within-variance, which in turn decreases the ICC(1). Further, we provide a numerical example, and examine the RMSEs, alpha error rates and the inclusion of zero in the confidence intervals for ICC(1) estimation with and without measurement error. Secondly, we propose two corrections [i.e., the reliability-adjusted ICC(1) and the measurement model-based ICC(1)] that yield correct estimates for the ICC(1), and prove that they are unaffected by measurement error mathematically. Finally, we discuss our findings, point out examples of the underestimation of the ICC(1) in the literature, and reinterpret the results of these examples in the light of our new estimator. We also illustrate the potential application of our work to other ICCs. Finally, we conclude that measurement error distorts the ICC(1) to a non-negligible extent.

Neighbourly support of people with chronic illness; is it related to neighbourhood social capital?

The neighbourhood may provide resources for health. It is to date unknown whether people who live in neighbourhoods with more social capital have more access to practical and emotional support by neighbours, or whether this is a resource only available to those who are personally connected to people in their neighbourhood. We investigated whether support by neighbours of people with chronic illness was related to neighbourhood social capital and to individual neighbourhood connections. Furthermore, we investigated whether support received from neighbours by people with chronic illness differed according to demographic and disease characteristics. We collected data on support by neighbours and individual connections to neighbours among 2272 people with chronic illness in 2015. Data on neighbourhood social capital were collected among 69,336 people in 3425 neighbourhoods between May 2011 and September 2012. Neighbourhood social capital was estimated with ecometric measurements. We conducted multilevel regression analyses. People with chronic illness were more likely to receive practical and emotional support from neighbours if they had more individual connections to people in their neighbourhood. People with chronic illness were not more likely to receive practical and emotional support from neighbours if they lived in a neighbourhood with more social capital. People with chronic illness with moderate physical disabilities or with comorbidity, and people with chronic illness who lived together with their partner or children, were more likely to receive support from neighbours. To gain more insight into the benefits of neighbourhood social capital, it is necessary to differentiate between the resources only accessible through individual connections to people in the neighbourhood and resources provided through social capital on the neighbourhood level.

Associations Between Neighborhood Social Capital, Health Literacy, and Self-Rated Health Among People With Chronic Illness

Health literacy skills are important for health and self-management for people with chronic illness. Neighborhood social capital can provide resources, such as access to information and informal social control over unhealthy behavior. The benefit of these resources, and the access people have to these resources, might depend on levels of health literacy. We investigated whether neighborhood social capital is differentially related to the health of people with chronic illness according to health literacy skills. This study focused on health literacy skills in 4 domains related to the ability to access and understand health information and to the ability to perform self-management. We found a significant positive interaction between social capital and health literacy skills for accessing and understanding health information. This suggests that health literacy enhances people's ability to gain access to and use neighborhood resources to benefit health. There was no interaction effect between social capital and health literacy skills in the other 2 domains. More research is needed to investigate how people with chronic illness can benefit from knowledge, support, and other social resources for health and self-management also whether they have limited health literacy skills.

Gender and the Relationship Between Marital-Role Quality and Psychological Distress: A Study of Women and Men in Dual-Earner Couples

In this paper, we estimate the association between marital-role quality and psychological distress in a sample of 300 full-time employed women and men in dual-earner couples. We control for such individual-level variables as age, education, occupational prestige, and job-role quality, and for such couple-level variables as length of marriage, parental status, and household income. We then compare the magnitude of this effect for men and for women and for parents and nonparents. Results indicate that in dual-earner couples marital-role quality is significantly negatively associated with psychological distress for women as well as men and that the magnitude of the effect depends little, if at all, on gender or on parental status. These findings challenge the view that marital experiences more significantly influence women's mental health states than men's. The results are discussed in the context of identity theory.

Profiles of Student Perceptions of School Climate: Relations with Risk Behaviors and Academic Outcomes

School climate has been linked to a variety of positive student outcomes, but there may be important within-school differences among students in their experiences of school climate. This study examined within-school heterogeneity among 47,631 high school student ratings of their school climate through multilevel latent class modeling. Student profiles across 323 schools were generated on the basis of multiple indicators of school climate: disciplinary structure, academic expectations, student willingness to seek help, respect for students, affective and cognitive engagement, prevalence of teasing and bullying, general victimization, bullying victimization, and bullying perpetration. Analyses identified four meaningfully different student profile types that were labeled positive climate, medium climate-low bullying, medium climate-high bullying, and negative climate. Contrasts among these profile types on external criteria revealed meaningful differences for race, grade-level, parent education level, educational aspirations, and frequency of risk behaviors.