Exploring Parameter Relations for Multi‐Stage Models in Stage‐Wise Constant and Time Dependent Hazard Rates

Single cohort stage‐frequency data are considered when assessing the stage reached by individuals through destructive sampling. For this type of data, when all hazard rates are assumed constant and equal, Laplace transform methods have been applied in the past to estimate the parameters in each stage‐duration distribution and the overall hazard rates. If hazard rates are not all equal, estimating stage‐duration parameters using Laplace transform methods becomes complex. In this paper, two new models are proposed to estimate stage‐dependent maturation parameters using Laplace transform methods where non‐trivial hazard rates apply. The first model encompasses hazard rates that are constant within each stage but vary between stages. The second model encompasses time‐dependent hazard rates within stages. Moreover, this paper introduces a method for estimating the hazard rate in each stage for the stage‐wise constant hazard rates model. This work presents methods that could be used in specific types of laboratory studies, but the main motivation is to explore the relationships between stage maturation parameters that, in future work, could be exploited in applying Bayesian approaches. The application of the methodology in each model is evaluated using simulated data in order to illustrate the structure of these models.     

Linear Increments with Non‐monotone Missing Data and Measurement Error

Linear increments (LI) are used to analyse repeated outcome data with missing values. Previously, two LI methods have been proposed, one allowing non‐monotone missingness but not independent measurement error and one allowing independent measurement error but only monotone missingness. In both, it was suggested that the expected increment could depend on current outcome. We show that LI can allow non‐monotone missingness and either independent measurement error of unknown variance or dependence of expected increment on current outcome but not both. A popular alternative to LI is a multivariate normal model ignoring the missingness pattern. This gives consistent estimation when data are normally distributed and missing at random (MAR). We clarify the relation between MAR and the assumptions of LI and show that for continuous outcomes multivariate normal estimators are also consistent under (non‐MAR and non‐normal) assumptions not much stronger than those of LI. Moreover, when missingness is non‐monotone, they are typically more efficient.     

The changing practice of eating: evidence from UK time diaries, 1975 and 2000

This paper examines some central themes about change in consumption behaviour through an empirical investigation of the practice of eating. It analyses patterns of food consumption in the UK using time diary data from 1975 and 2000. The practice of eating is decomposed into four component activities which are used to explore systematically the inter-relationships between social processes - such as commodification and temporal fragmentation - and ways of providing and consuming food. It charts the expansion of eating out, the degree to which it substitutes for other eating activities, and the implications of its development for social relations and the temporal organization of daily life. Analysis reveals that food consumption continues to be differentiated along established lines of social division, although the content of those divisions has changed and varies across components of the practice. Increasing commodification of the food chain is documented, but without appearing to have a corrosive impact on household organization or social relationships. While tendencies indicative of temporal fragmentation are revealed, counter-tendencies exist which suggest that the practice of eating is resilient to many forms of external pressure. Finally, the application of a practice-based analytical approach permits critical evaluation of theories of social transformation.     

The effect of a novel ADL-based training program on performance of activities of daily living and physical fitness

The purpose of this study was to determine the degree to which a novel training program based on activities of daily living (ADL) would affect performance of ADLs, as well as the fitness of older adults. Fourteen individuals (mean age 82 years) took part in a 10-week control period followed by a 10-week ADL-based training program. Pre- and posttests included the Physical Performance Test (PPT), the Physical Functional Performance-10 (PFP-10), and the Senior Fitness Test (SFT). After the training period, improvements ranging from 7% to 33% (p<.05) were seen on the PPT and PFP-10 and on three items of the SFT. After conversion to standard scores, the magnitude of change in the PPT and the PFP10 was significantly greater (p<.05) than the magnitude of change in the SFT. These data support the idea that this novel ADL-based training program was able to facilitate improved performance of ADLs, as well as select measures of fitness among older adults.     

A family systems-based model of organizational intervention

Employee assistance professionals are expected to be proficient at intervening in organizations and creating meaningful behavioral change in interpersonal functioning. Because of their training in family systems theories and concepts, marriage and family therapists (MFTs) are well suited to serve organizations as "systems consultants." Unfortunately, the authors were unable to identify any family systems-based models for organizational intervention that have been empirically tested and supported. In this article, the authors present a family systems-based model of intervention that they developed while working in an employee assistance program (EAP). They also present research that was used to refine the model and to provide initial support for its effectiveness.     

Reading your Counterpart: The Benefit of Emotion Recognition Accuracy for Effectiveness in Negotiation

Using meta-analysis, we find a consistent positive correlation between emotion recognition accuracy (ERA) and goal-oriented performance. However, this existing research relies primarily on subjective perceptions of performance. The current study tested the impact of ERA on objective performance in a mixed-motive buyer-seller negotiation exercise. Greater recognition of posed facial expressions predicted better objective outcomes for participants from Singapore playing the role of seller, both in terms of creating value and claiming a greater share for themselves. The present study is distinct from past research on the effects of individual differences on negotiation outcomes in that it uses a performance-based test rather than self-reported measure. These results add to evidence for the predictive validity of emotion recognition measures on practical outcomes.

Disruption and the theory of the interaction order

Micro-sociological theory has traditionally stressed interactional pressures towards alignment: actors’ attempts to co-construct a shared definition of the situation. We argue that this model provides an insufficient account of the coordination of action and of the emergence of intersubjectivity among actors. To complement the focus on alignment, we develop a theory of disruption—a perceived misalignment of the dramaturgical structure of interaction in coordinating expected lines of action. We develop a theory of the interaction order that takes the interplay between interactional alignment and disruption as a foundational challenge both for sociology and for actors in their everyday lives. We focus on the practical ways in which actors negotiate both interactional breaches and wider relational ruptures, and how they differentiate between disruptions-of relations and disruptions-for them. By doing so, we connect the interaction order to a wider relational order, providing a bridge between micro-level interactionism and the sociology of culture.