Perceptions of Equity,Balance of Support Exchange,and Mother–Adult Child Relations

Equity theory suggests that relationships are more harmonious when both members of a dyad believe that their exchanges are fair. However, the level and frequency of exchange, rather than perceptions of equity, have been the focus of most research on support and the quality of intergenerational relations. Using data from 1,426 mother–child dyads nested within 413 families collected as part of the Within‐Family Differences Study, the authors explored whether mothers' perceptions of equity are better predictors of closeness and tension than are mothers' reports of balanced exchanges of support. Mixed‐model analyses revealed that mothers' perceptions of equity were more consistent predictors of relationship quality than were the balanced exchanges of support, though the results varied somewhat by gender of adult child. These findings contribute to a growing body of research demonstrating that the psychological processes that shape intergenerational relationships mirror those of other ties.     

‘The seal of approval’: referring adults with intellectual disabilities and challenging behaviour to community learning disability teams

This article describes a study that involved interviewing eight managers of residential services, who have made referrals to community learning disability teams (CLDTs) for challenging behaviour. Thematic analysis and a critical perspective are combined to analyse and interpret what referrers said about the process of the referral. The study found that managers referred people with intellectual disabilities to the CLDT primarily in order to manage organisational problems rather than to directly manage challenging behaviour. The referrals enlisted the services of professionals to legitimise the residential services, to confirm their practices and to provide credibility to existing decisions by managers. In referring a man or woman with intellectual disabilities to the CLDT, the managers submit themselves, their staff and the person with the intellectual disabilities to the power of the health and psy-complex professionals.     

Idea Generation and the Role of Feedback: Evidence from Field Experiments with Innovation Tournaments

In many innovation settings, ideas are generated over time and managers face a decision about if and how to provide in‐process feedback to the idea generators about the quality of submissions. In this article, we use design contests allowing repeated entry to examine the effect of in‐process feedback on idea generation. We report on a set of field experiments using two online contest websites to compare the performance of three different feedback treatments—no feedback, random feedback, and directed feedback (i.e., in‐process feedback highly correlated with the final quality rating of the entry). We posted six logo design contests for consumer products and accepted submissions for 1 week. We provided daily feedback during the contest period using one of the three treatments. We then used a panel of target consumers to rate the quality of each idea. We find that directed feedback is associated positively with agent participation. For outcome, while directed feedback benefits the average quality of entries submitted, we don't find that relationship for the best entries—indeed, no feedback or random feedback may produce better top‐end entry quality. We also find that, under directed feedback, the variance in quality declines as the contest progresses.     

Simple belief elicitation: An experimental evaluation

Journal of Risk and Uncertainty - We present a method for eliciting beliefs about probabilities when multiple realisations of an outcome are available, the “frequency” method. The...     

Rising powers,people rising: neo-liberalization and its discontents in the BRICS countries

ABSTRACT

The rise of the BRICS countries – Brazil, Russia, China, India, and South Africa – has called into question the future of Western dominance in world markets and geopolitics. However, the developmental trajectories of the BRICS countries are shot through with socio-economic fault lines that relegate large numbers of people to the margins of current growth processes, where life is characterized by multiple and overlapping vulnerabilities. These socio-economic fault lines have, in turn, given rise to political convulsions across the BRICS countries, ranging from single-issue protests to sustained social movements oriented towards structural transformation. This article presents an innovative theoretical framework for theorizing the emerging political economy of development in the BRICS countries centred on neo-liberalization, precarity, and popular struggles. It discusses the contributions to this special issue in terms of how they illuminate the intersection between neo-liberalization, precarity, and popular struggle in Brazil, Russia, India, China, and South Africa.     

Three Steps Strategy to Search for Optimum Classification Trees

This article presents a new strategy to construct classification trees. According to the proposed scheme, we focused on keeping the record of sequences of each constructed classification tree; both in terms of splitting predictors and their splitting values in an array. So overall we have as many arrays as we have drawn samples. At this stage, a three steps strategy is introduced, which is used to search for the optimum classification tree. The proposed strategy provides comparable or improved results in terms of generalized error rates than tree and rpart (packages available for classification purposes in the R) using four of the well-known evaluation functions, that is, the Gini, the Entropy, the Twoing, and the Exponent-based function to split nodes for many real-life datasets.     

Confirmatory Factor Analysis of Ordinal Data Using Full‐Information Adaptive Quadrature

We conducted confirmatory factor analysis (CFA) of responses (N=803) to a self‐reported measure of optimism, using full‐information estimation via adaptive quadrature (AQ), an alternative estimation method for ordinal data. We evaluated AQ results in terms of the number of iterations required to achieve convergence, model fit, parameter estimates, standard errors (SE), and statistical significance, across four link‐functions (logit, probit, log‐log, complimentary log‐log) using 3–10 and 20 quadrature points. We compared AQ results with those obtained using maximum likelihood, robust maximum likelihood, and robust diagonally weighted least‐squares estimation. Compared to the other two link‐functions, logit and probit not only produced fit statistics, parameters estimates, SEs, and levels of significance that varied less across numbers of quadrature points, but also fitted the data better and provided larger completely standardised loadings than did maximum likelihood and diagonally weighted least‐squares. Our findings demonstrate the viability of using full‐information AQ to estimate CFA models with real‐world ordinal data.