The use of population‐level data to advance interdisciplinary methodology: a cell‐through‐society sampling framework for child development research

The authors argue that population‐level data should be used to advance interdisciplinary research about community effects on early development. These data permit the identification of neighborhoods in which development patterns deviate from predictions based on local socioeconomic status (SES). So‐called ‘off‐diagonal’ places signal where researchers are likely to discover processes that either deflect the risks of low SES or dampen the salutary impact of favorable SES. Since such neighborhoods will be best understood relative to nearby ‘on‐diagonal’ neighborhoods where macro‐economic and/or public policy factors are constant, the authors present a methodology for illuminating these regional clusters. The method is deployed in British Columbia, Canada, where a team has collected developmental observations from two censuses of kindergarten children (n = 82,632). The article discusses how these clusters can be used to coordinate sampling decisions among academics representing the range of disciplines needed to study child development from cell‐through‐society, as is recommended in the literature.     

Modelling micro-texture

There are many instances when texture contains valuable information in images, and various methods have been used for texture analysis. We distinguish between micro-textures and macro-textures. The paper models micro-texture using the general spin Ising model from statistical mechanics. This model allows for any number of grey levels and any set of pair interactions. For a given texture, we select an appropriate set of pair interactions and estimate the correspomding parameter values, using linked cluster expansions of the auto-covariances and the partition function. The series expansions are valid for parameters smaller than the critical parameters for which an infinite system would exhibit a phase transition. Hence, sufficiently small-grained micro-textures may be modelled. To ensure that the data meet this requirement, we simulate the model using the Markov chain Meet Carlo method and estimate its critical parameters using the series expansions. We demonstrate these methods on both real and simulated images.     

Hope the Beloved Country: Hope Levels in the New South Africa

The concept of hope seems to have attracted increased attention in popular and academic discourse in South Africa. Despite this increased focus, no empirical studies on national hope levels have been conducted in South Africa to date. This article sought to address this gap by investigating national hope levels using data taken from the 2009 wave of the Human Sciences Research Council’s nationally representative South African Social Attitudes Survey of approximately 3,300 South Africans aged 16 and older. Using a slightly modified version of the widely used Snyder Hope Scale, this study found significant geographic and social differences in citizens’ average hope levels. Differences appear to attest to the continued negative association between hope levels and membership of groups that have historically been relegated to the margins of South African society. Contrary to most current political portrayals, however, there does not appear to be a significant age cohort effect. Self-perceptions of marginalisation also appear to be related to hope. In light of the paucity of South African empirical work in this area, the paper concluded by identifying possible future research needs.     

Modelling micro-texture

There are many instances when texture contains valuable information in images, and various methods have been used for texture analysis. We distinguish between micro-textures and macro-textures. The paper models micro-texture using the general spin Ising model from statistical mechanics. This model allows for any number of grey levels and any set of pair interactions. For a given texture, we select an appropriate set of pair interactions and estimate the correspomding parameter values, using linked cluster expansions of the auto-covariances and the partition function. The series expansions are valid for parameters smaller than the critical parameters for which an infinite system would exhibit a phase transition. Hence, sufficiently small-grained micro-textures may be modelled. To ensure that the data meet this requirement, we simulate the model using the Markov chain Meet Carlo method and estimate its critical parameters using the series expansions. We demonstrate these methods on both real and simulated images.     

Adolescents and Music Media: Toward an Involvement‐Mediational Model of Consumption and Self‐Concept

Using social cognitive theory and structural regression modeling, we examined pathways between early adolescents' music media consumption, involvement with music media, and 3 domains of self‐concept (physical appearance, romantic appeal, and global self‐worth; N=124). A mediational model was supported for 2 domains of self‐concept. Music media consumption was positively associated with adolescents' involvement with media focusing on music personae. Higher involvement was associated with perceiving the self as less physically attractive and having lower overall self‐worth. Music media consumption was directly related to adolescents' evaluations of their own romantic appeal. Results suggest that through involvement processes with music media characters, adolescents may use music media as a venue for social comparison against which they evaluate their own physical attractiveness and self‐worth. Music media consumption may also provide social modeling for normative expectations about romantic relationships regardless of the level of involvement. Gender differences were nonsignificant in the mediational model.     

Differential Item Functioning of a Family Affluence Scale: Validation Study on Data from HBSC 2001/02

Methodology for making cross-national comparisons is an area of increasing interest in social and public health related research. When studying socio-economic differences in health outcomes cross-nationally, there are several methodological issues of concern, especially when data is derived from self-reported questionnaires. Health Behaviour in School-aged Children (Currie et al. 1998) is a WHO cross-national study using school samples. HBSC provides comparable data, and thereby a unique opportunity to study associations between social indicators and health outcomes within an international perspective. In 2001/02 data was collected from a total of 162,323 children in 32 countries (Austria, Belgium, Canada, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Greenland, Hungary, Ireland, Israel, Italy, Latvia, Lithuania, Macedonia, Malta, Netherlands, Norway, Poland, Portugal, Russia, Slovenia, Spain, Sweden, Switzerland, Ukraine, United Kingdom, USA.). Studies of social inequalities requires that a comparable measure of socio-economic position (SEP) is in use. HBSC has developed a proxy for social position measuring material wealth, the Family Affluence Scale (FAS). This paper studies FAS and whether it is comparable across population subgroups defined by country, age and gender. Initial analysis revealed that an item measuring perceived family wealth was a valid FAS item. Including this item in the FAS score will improve the reliability of FAS. Graphical log-linear Rasch models (GLLRM) showed that FAS contain differential item functioning (DIF) with respect to country, age, and gender as well as local dependency (LD) between items. During the analysis, test equating techniques where used to adjust for the test bias generated by DIF. We recommend that the equated scores are used whenever FAS is included as a variable. This study suggests that HBSC-FAS should contain five items (additional item: perceived family wealth) when analysing data from HBSC 2001/02, and furthermore that each country should adjust for the DIF or make use of the converted FAS scores provided. If using FAS as a proxy for social position at an international level, it is not advised to compare the absolute levels of FAS, but weigh the scale by ridit transformation.