The influence of collaboration on program outcomes: the Colorado Nurse-Family Partnership

Though collaboration is often required in community initiatives, little evidence documents relationships between collaboration and program success. The authors contend that clarification of the construct collaboration is necessary for investigating its contribution to the success of community initiatives. After respecifying collaboration, they present a study of a multisite program that involved varying degrees of collaboration in the 16 communities adopting a nurse home visitation program. The authors employ hierarchical linear modeling (HLM) to test the predictive power of individual participant characteristics and examine the increased accuracy of predictions from a second level model of site qualities-specifically, features of the collaborative process associated with different sites. The first-level model predicted approximately 10% of the variance in attrition, or dropout, of program clients. The second-level model accounted for an additional 28% of the variance in attrition. A theory of commitment transfer is offered as a first explanation of this result.     

Web-based treatment of alcohol problems among rural women

It is estimated that 6 million women in the United States misuse alcohol. Of that number, many live in rural areas and face numerous barriers to treatment. The World Wide Web has the potential to help such individuals overcome these barriers. In light of emergent findings supporting the effectiveness of online alcohol treatment services for women, a randomized pilot study was conducted to evaluate a Web-based, self-guided alcohol treatment program. Eligible women were randomized to standard care or an online treatment program. Web-based treatment components included gender-specific reference modules and decision making modules, an asynchronous bulletin board, and a synchronous chat feature. The average age of the participants (N = 44) was 50 (SD = 11 years), and their baseline Alcohol Use Disorders Identification Test score was 18 (SD = 6), with 8 being the cut-off score for problem drinking. At 3-month follow up, both treatment groups decreased their drinking; however, no significant differences were found between them.     

What Defines Quality of Life? The Gap Between Public Policies and Locally Defined Indicators Among Residents of Kodagu, Karnataka (India)

Improving quality of life (QoL) is one of the main goals of many public policies. A useful tool to measure QoL needs to get a good balance between indicators guided by theories (top-down approach) and indicators defined by local people (bottom-up approach). However, QoL measurement tools often neglect to include elements that define the standard of living at local level. In this paper, we analyse the correspondence between human development index, as an indicator adopted by governments to assess QoL, and the elements defined by local people as important in their QoL, called here local means. Using a free-listing technique, we collected information from 114 individuals from Kodagu, Kartanataka (India), to capture local means defining QoL. We then compared local means with the indicators used by Human development report (HDR) of Karnataka, the main measurement tool of QoL in Kodagu. The list of local means included access to basic facilities and many issues related to agriculture and natural resources management as elements locally defining QoL. We also found that HDR does not capture the means defined by people as indicators of QoL. Our findings suggest an important gap between current QoL’s indicators considered by public policies and the means of QoL defined by people. Our study provides insights for a set of plausible local indicators useful to achieve a balance between top-down and bottom-up approaches for the local public policies.     

Targeted estimation of state occupation probabilities for the non-Markov illness-death model

We use semi-parametric efficiency theory to derive a class of estimators for the state occupation probabilities of the continuous-time irreversible illness-death model. We consider both the setting with and without additional baseline information available, where we impose no specific functional form on the intensity functions of the model. We show that any estimator in the class is asymptotically linear under suitable assumptions about the estimators of the intensity functions. In particular, the assumptions are weak enough to allow the use of data-adaptive methods, which is important for making the identifying assumption of coarsening at random plausible in realistic settings. We suggest a flexible method for estimating the transition intensity functions of the illness-death model based on penalized Poisson regression. We apply this method to estimate the nuisance parameters of an illness-death model in a simulation study and a real-world application.     

Online reach correction in 6- and 11-month-old infants

The current study investigated the development of online reach control. Six- and 11-month-old infants reached for a toy while their hand position was tracked. The toy either remained stationary (baseline trials) or unexpectedly displaced left- or rightward during the reach (perturbation trials). To obtain a measure of online reach correction, we compared reaches in the perturbation trials to reaches in baseline trials using autoregression analysis. Infants of both age groups adjusted their reach trajectories in the direction of the displacement. Moreover, we divided the reaching movements into movement units, defined as the submovements of a reach between local minima in hand speed. Eleven-month-old infants adjusted their reach within the span of a single movement unit; corrections in 6-month-olds spanned multiple movement units. These results suggest that the reach control system has a rudimentary replanning capacity by 6 months of age, which, with age, further develops to a more sophisticated online control mechanism for ongoing reaches.     

Intimate partner violence and preschool self-regulation: Examining the role of maternal emotion socialization in Black families

The ways that parents respond to children's negative emotions shape the development of self-regulation across early childhood. The objective of this study was to examine child self-regulation in the context of intimate partner violence (IPV) exposure in a sample of Black, economically marginalized mothers and their young children (aged 3–5 years, N = 99). The study investigates the conditional effects of emotion socialization practices that (1) encourage expression of and problem-solving around negative affect (“supportive”), and (2) encourage suppression of affective displays (“suppressive”) on children's self-regulation. We found a significant association between higher child self-regulation and supportive parental reactions in the context of psychological IPV. We also found a significant association between higher child self-regulation and suppressive parental reactions in the context of psychological IPV. Our findings are consistent with prior research suggesting Black parents who teach varied strategies for emotional expression may promote children's adaptation in high-stress family environments. Macrosystem factors such as systemic racism and discrimination as well as the threat of family violence may shape how parents approach emotion socialization and the teaching of affective self-expression and self-regulation.     

Theorizing theory: Invitation to a broader conversation about ‘theory’ in sociology

‘Theory’ is a seminal term in sociology. Sociologists tend to ask that articles, chapters and monographs are ‘theoretical’, ‘develop theory’ or ‘make a theoretical contribution’. Yet, as demonstrated in Gabriel Abend’s 2008 article ‘The Meaning of ‘Theory’, it is generally unclear what sociologists mean when they talk about theory. Abend distinguishes seven different meanings sociologists tend to impute to ‘theory’ and argues that no single definition can usefully capture these substantively different meanings. Counter to Abend, we propose and defend a minimal and versatile theory of theory, which does capture the important common denominators in sociologists' various uses of the term theory. The major strengths of our proposal are that it enables informed and synthetic discussion and fosters reflexivity about differences and similarities between different types of theory. Our minimal theory of theory thus serves as an invitation to a broader conversation about theory in sociology.     

NORMS MAKE PREFERENCES SOCIAL

We explore the idea that prosocial behavior in experimental games is driven by social norms imported into the laboratory. Under this view, differences in behavior across subjects is driven by heterogeneity in sensitivity to social norms. We introduce an incentivized method of eliciting individual norm‐sensitivity, and we show how it relates to play in public goods, trust, dictator, and ultimatum games. We show how our observations can be rationalized in a stylized model of norm‐dependent preferences under reasonable assumptions about the nature of social norms. Then we directly elicit norms in these games to test the robustness of our interpretation.