Individuals’ power and their social network accuracy: A situated cognition perspective

Individuals differ in how accurately they perceive their social environment, but research and theory provide conflicting predictions on whether powerful people are more or less accurate than others. Drawing on social network theory and the situated cognition theory of power, we examine the relationship between individuals’ formal and informal power and their perceptual accuracy of social network relationships. We propose that individuals’ perceptual accuracy is related to: 1) their formal and informal power in the organization; 2) the type of relationship being perceived (positive/negative valence) and its relevance to task and goal completion; and 3) the dependence relationship with the target of perception (i.e., whether the perceiver is dependent on the perceived to get their work done). Predictions were tested using cognitive social structure data collected from a technical call center. Results showed that power was generally linked to increased perceptual accuracy, particularly for the types of relationships most relevant for task and goal completion. We further demonstrated that social network accuracy was related to employees’ outcomes, including subsequent transfer, promotion, and exit from the organization.     

Analyzing multiple endpoints in a confirmatory randomized clinical trial—an approach that addresses stratification,missing values,baseline imbalance and multiplicity for strictly ordinal outcomes

Confirmatory randomized clinical trials with a stratified design may have ordinal response outcomes, ie, either ordered categories or continuous determinations that are not compatible with an interval scale. Also, multiple endpoints are often collected when 1 single endpoint does not represent the overall efficacy of the treatment. In addition, random baseline imbalances and missing values can add another layer of difficulty in the analysis plan. Therefore, the development of an approach that provides a consolidated strategy to all issues collectively is essential. For a real case example that is from a clinical trial comparing a test treatment and a control for the pain management for patients with osteoarthritis, which has all aforementioned issues, multivariate Mann‐Whitney estimators with stratification adjustment are applicable to the strictly ordinal responses with stratified design. Randomization based nonparametric analysis of covariance is applied to account for the possible baseline imbalances. Several approaches that handle missing values are provided. A global test followed by a closed testing procedure controls the family wise error rate in the strong sense for the analysis of multiple endpoints. Four outcomes indicating joint pain, stiffness, and functional status were analyzed collectively and also individually through the procedures. Treatment efficacy was observed in the combined endpoint as well as in the individual endpoints. The proposed approach is effective in addressing the aforementioned problems simultaneously and straightforward to implement.     

Leading for change: line managers’ influence on the outcomes of an occupational health intervention

Line managers may play a central role in the success of occupational health interventions. However, few studies have focussed on the relationship between line managers’ behaviours and the outcomes of occupational health interventions. We examined the influence of both line managers’ attitudes and actions towards an intervention as well as their transformational leadership on the expected outcomes of the intervention (i.e. employee self-rated health and work ability). The intervention consisted of the implementation and use of a web-based system for occupational health management. A sample of 180 employees provided data for the analysis. Self-rated health and work ability were measured at the baseline (Time 1) and follow-up (Time 3), while employee ratings of line managers’ attitudes and actions, and transformational leadership were measured during the intervention process (Time 2). The results revealed that line managers’ attitudes and actions positively predicted changes in both self-rated health and work ability. The influence of transformational leadership was indirect and mediated through line managers’ attitudes and actions towards the intervention. Based on the results, we suggest using process measures that include aspects of both line managers’ attitudes and actions as well as their transformational leadership in future process evaluation.     

Tackling and Mitigating Health Inequalities – Policymakers and Practitioners ‘Talk and Draw’ their Theories

In the context of a long‐standing academic acceptance of the socially structured nature of health inequalities, there has been a growing literature that critically examines policies that aim to reduce them. This has demonstrated inadequate policy assessment of the nature of the problem of health inequalities and correspondingly partial solutions that privilege interventions that focus on individual lifestyle solutions over more structural approaches. Much of the research that has been undertaken in this field to explore competing theories of inequalities has analyzed national policy documents or the views of senior policy advisers rather than practitioners. This study uses Raphael’s ‘seven discourses of the social determinants of health’ to understand the implicit theories of health inequalities of both practitioners and policymakers working within a single health care system as they talk about different policy typologies. To help penetrate potentially well‐rehearsed discourses about health inequalities, it tests a visual method of stimulating discussion about how different types of policy might operate to narrow/widen existing gaps in outcomes. Building on Raphael, it finds that individuals’ theories of health inequalities contain co‐existing although not synthesized material and behavioural explanations and that, although the social patterning of material disadvantage was recognized, the role of power and politics is underplayed. Variations between participants did not align with role (policy/practice) and using visual methods to represent the impact of different policy types on health inequalities, though challenging for participants, stimulated reflection about a subject matter that has otherwise become rather stagnant.     

Using Child Services: The Importance of the Mother–Child Relationship and Maternal Social Support

Gaps between children’s need for clinical services and receipt of services create a risk for negative child outcomes, therefore, it is important to identify factors that bolster parental use of child services. Attachment theory lends support to potential power of both parent–child relationship quality and the social support received by the parent in promoting service utilization and ultimately child outcomes. Study 1 uses a sample of 8-year-old children and their mothers to examine the roles of service use as a mechanism linking maternal social support and child behavioral outcomes. Study 2 uses a sample of 12-year-olds and mothers to more closely examine deficits between service need and the role of mother–child relationship quality in explaining the link between maternal social support and service deficits. Overall, this study highlights the importance of maternal social support and the parent–child relationship in predicting child service utilization, with nuanced results.     

The Central Role of Familial Ethnic Socialization in Latino Adolescents’ Cultural Orientation

The current study utilized an ecological framework to examine the longitudinal interrelations among Latino adolescents’ (N = 323) cultural orientation (i.e., ethnic identity and enculturation), familial ethnic socialization experiences, and generational status. Findings indicated that ethnic identity and enculturation were both predicted by adolescents’ generational status, although some of these relations were indirect via the relation between generational status and familial ethnic socialization. Findings underscore the importance of examining the dimensions of cultural orientation independent of one another and considering the central role of familial socialization practices in these processes. Moreover, the current work provides direction for further theoretical work to advance our understanding of the unique aspects of cultural orientation.     

The value of the aggregate data approach in meta-analysis with time-to-event outcomes

Collecting individual patient data has been described as the 'gold standard' for undertaking meta-analysis. If studies involve time-to-event outcomes, conducting a meta-analysis based on aggregate data can be problematical. Two meta-analyses of randomized controlled trials with time-to-event outcomes are used to illustrate the practicality and value of several proposed methods to obtain summary statistic estimates. In the first example the results suggest that further effort should be made to find unpublished trials. In the second example the use of aggregate data for trials where no individual patient data have been supplied allows the totality of evidence to be assessed and indicates previously unrecognized heterogeneity.     

Estimation of survival quantiles in two-stage randomization designs

In two-stage randomization designs, patients are randomized to one or more available therapies upon entry into the study. Depending on the response to the initial treatment (such as complete remission or shrinkage of tumor), patients are then randomized to receive maintenance treatments to maintain the response or salvage treatment to induce response. One goal of such trials is to compare the combinations of initial and maintenance or salvage therapies in the form of treatment strategies. In cases where the endpoint is defined as overall survival, Lunceford et al. [2002. Estimation of survival distributions of treatment policies in two-stage and randomization designs in clinical trials. Biometrics 58, 48–57] used mean survival time and pointwise survival probability to compare treatment strategies. But, mean survival time or survival probability at a specific time may not be a good summary representative of the overall distribution when the data are skewed or contain influential tail observations. In this article, we propose consistent and asymptotic normal estimators for percentiles of survival curves under various treatment strategies and demonstrate the use of percentiles for comparing treatment strategies. Small sample properties of these estimators are investigated using simulation. We demonstrate our methods by applying them to a leukemia clinical trial data set that motivated this research.     

‘Why isn’t it solved?’: Factors affecting improvements in housing outcomes in remote Indigenous communities in Australia

A range of factors has affected the design and construction of Indigenous housing in remote areas of Australia in recent times, including: socio-demographic issues; culture and design; consultation processes; the costs of remoteness; and procurement and delivery processes. Their implications for appropriate design and construction of remote Indigenous housing are analysed in this paper. Most significantly, these factors cannot be separated from cost because the need to spread available funds broadly to build the largest number of houses at the best price affects design and construction quality, and these are often neglected in the short-term budgeting within this process.