Adolescent Conflict Appraisals Moderate the Link Between Marital Conflict and Physiological Stress Reactivity

The goal of this study was to advance understanding of how adolescent conflict appraisals contribute uniquely, and in combination with interparental conflict behavior, to individual differences in adolescent physiological reactivity. Saliva samples were collected from 153 adolescents (52% female; ages 10–17 years) before and after the Trier Social Stress Test. Saliva was assayed for cortisol and alpha‐amylase. Results revealed interactive effects between marital conflict and conflict appraisals. For youth who appraised parental conflict negatively (particularly as threatening), negative marital conflict predicted dampened reactivity; for youth who appraised parental conflict less negatively, negative marital conflict predicted heightened reactivity. These findings support the notion that the family context and youth appraisals of family relationships are linked with individual differences in biological sensitivity to context.     

Dynamic heterogeneity: a framework to promote ecological integration and hypothesis generation in urban systems

Urban areas are understood to be extraordinarily spatially heterogeneous. Spatial heterogeneity, and its causes, consequences, and changes, are central to ecological science. The social sciences and urban design and planning professions also include spatial heterogeneity as a key concern. However, urban ecology, as a pursuit that integrates across these disciplines, lacks a theoretical framework that synthesizes the diverse and important aspects of heterogeneity. This paper presents the concept of dynamic heterogeneity as a tool to explore how social and ecological heterogeneities interact and how they together act as both an outcome of past interactions and a driver future heterogeneity and system functions. To accomplish this goal, we relate heterogeneity to the fundamental concept of the human ecosystem. The human ecosystem concept identifies key processes that require operationalized models of dynamic heterogeneity in three process realms: the flow of materials, the assembly of urban ecosystem biota, and the locational choices humans make concerning land. We exemplify a specific dynamic model of heterogeneity in each of these realms, and indicate a range of complementary statistical approaches to integrate the drivers and outcomes of dynamic heterogeneity across the three realms. We synthesize a hierarchical framework for a theory of dynamic urban heterogeneity, noting its complementarity to other major urban theories and general model approaches. We hypothesize that human actions and structures amplify the dynamics of heterogeneity in urban systems.     

Looking at intra-European mobilities through migrant types: young Spanish and Polish migrants in London and The Hague

This paper echoes the need to further explore the social effects of European Union integration by examining the increasingly complex and diverse scenario of intra-European mobility. Much research has focused on the intensification of East-to-West migrant flows after the enlargements of 2004 and 2007, inspiring a rich conceptualization of migrant typologies. Theoretically, this paper argues that some of these typologies can be extrapolated to better understand the experiences of other European movers. Empirically, it offers a qualitative and comparative analysis of diverse European young adults’ experiences of mobility: 8 Polish citizens in The Hague and 10 Spaniards in London. The analysis is based on four main dimensions derived from the literature: (1) Motivations to migrate, (2) Labour market participation, (3) Attachments and transnational ties and (4) Family composition and future outlooks. Results map individual differences and similarities contextualized by generational, gendered, educational and socio-economic aspects.     

On shifting ground: First-time parents’ ideal world of paid work and family time

We examined first-time fathers’ and mothers’ perspectives about their ideal world of support in the context of dominant social ideology, ethno-cultural ideals, and the pragmatics of their everyday family, workplace, and socioeconomic circumstances during their first 18 months as parents. Twelve Canadian-born and six Chinese immigrant couples participated in individual in-depth interviews. We conducted a three-part analysis: fathers’ perspectives, mothers’ perspectives, and couples’ perspectives. Fathers focused on fulfilling dual fathering ideals of ‘time with family’ and ‘providing for family’; mothers emphasized fulfilling a mothering ideal of ‘caring for children'. Examining couples’ perspectives revealed a more nuanced understanding of their shared focus on ‘caring for family'. Parents in this study found the current social ideal of the ‘new’ father, who is both financial provider and nurturing co-parent, appealing, yet difficult to achieve. Couples wanted informal (i.e. family and social network) support, along with formal (i.e. workplace and childcare) support to enable them to provide family care and financial stability for their family. Findings contribute to understanding family and paid work experiences and decision-making among couples as new parents. We offer insights into the complexity of intersections among social ideals, personal expectations, family care, and paid work for fathers and mothers.     

Sexual Coercion in Marriage: Narrative Accounts of Abused Mexican-American Women

Intimate partner sexual violence (IPSV) has been relatively understudied particularly from the perspective of women of color. This study documents the experiences with partner sexual violence of ten Mexican-American women. Qualitative interviews were conducted using snowball sampling with women that had been in abusive marital relationships. A phenomenological approach was used and through a thematic analysis, participant narrative responses were synthesized into themes. All participants reported sexual coercion and violence in their marriages, yet most did not label those experiences as “rape” despite the threatening context in which these incidents occurred. Tacit, but not always explicit acceptance of machismo, patriarchy, and male dominance were common themes possibly increasing IPV risk. Results highlight the complex interaction between upholding cultural values on the one hand, and preserving individual well-being and safety, on the other, underscoring the need for more extensive culturally sensitive research, prevention and intervention efforts for abused Mexican-American women     

Joint GEEs for multivariate correlated data with incomplete binary outcomes

This study considers a fully-parametric but uncongenial multiple imputation (MI) inference to jointly analyze incomplete binary response variables observed in a correlated data settings. Multiple imputation model is specified as a fully-parametric model based on a multivariate extension of mixed-effects models. Dichotomized imputed datasets are then analyzed using joint GEE models where covariates are associated with the marginal mean of responses with response-specific regression coefficients and a Kronecker product is accommodated for cluster-specific correlation structure for a given response variable and correlation structure between multiple response variables. The validity of the proposed MI-based JGEE (MI-JGEE) approach is assessed through a Monte Carlo simulation study under different scenarios. The simulation results, which are evaluated in terms of bias, mean-squared error, and coverage rate, show that MI-JGEE has promising inferential properties even when the underlying multiple imputation is misspecified. Finally, Adolescent Alcohol Prevention Trial data are used for illustration.     

Marginal models for the association structure of hierarchical binary responses

Clustered binary responses are often found in ecological studies. Data analysis may include modeling the marginal probability response. However, when the association is the main scientific focus, modeling the correlation structure between pairs of responses is the key part of the analysis. Second-order generalized estimating equations (GEE) are established in the literature. Some of them are more efficient in computational terms, especially facing large clusters. Alternating logistic regression (ALR) and orthogonalized residual (ORTH) GEE methods are presented and compared in this paper. Simulation results show a slightly superiority of ALR over ORTH. Marginal probabilities and odds ratios are also estimated and compared in a real ecological study involving a three-level hierarchical clustering. ALR and ORTH models are useful for modeling complex association structure with large cluster sizes.     

Tests for Structural Changes in Time Series of Counts

We propose methods for detecting structural changes in time series with discrete‐valued observations. The detector statistics come in familiar L2‐type formulations incorporating the empirical probability generating function. Special emphasis is given to the popular models of integer autoregression and Poisson autoregression. For both models, we study mainly structural changes due to a change in distribution, but we also comment for the classical problem of parameter change. The asymptotic properties of the proposed test statistics are studied under the null hypothesis as well as under alternatives. A Monte Carlo power study on bootstrap versions of the new methods is also included along with a real data example.