Synthetic data method to incorporate external information into a current study

We consider the situation where there is a known regression model that can be used to predict an outcome, Y, from a set of predictor variables X . A new variable B is expected to enhance the prediction of Y. A dataset of size n containing Y, X and B is available, and the challenge is to build an improved model for Y| X ,B that uses both the available individual level data and some summary information obtained from the known model for Y| X . We propose a synthetic data approach, which consists of creating m additional synthetic data observations, and then analyzing the combined dataset of size n + m to estimate the parameters of the Y| X ,B model. This combined dataset of size n + m now has missing values of B for m of the observations, and is analyzed using methods that can handle missing data (e.g., multiple imputation). We present simulation studies and illustrate the method using data from the Prostate Cancer Prevention Trial. Though the synthetic data method is applicable to a general regression context, to provide some justification, we show in two special cases that the asymptotic variances of the parameter estimates in the Y| X ,B model are identical to those from an alternative constrained maximum likelihood estimation approach. This correspondence in special cases and the method's broad applicability makes it appealing for use across diverse scenarios. The Canadian Journal of Statistics 47: 580–603; 2019 © 2019 Statistical Society of Canada     

Chilean Adaptation and Validation of the Fisher Divorce Adjustment Scale–Short Form

The aim of this study was to determine the psychometric properties of a short version of the Fisher Divorce Adjustment Scale (FDAS–SF; Fisher, 1978) in the Chilean context. Participants were 260 individuals who were divorced or separated. The FDAS–SF included 22 of the original 100 items, and its factorial structure was evaluated using exploratory and confirmatory factor analysis. Instead of the 6 original subscales proposed by its author, the structure that showed the best fit to the data was composed of 5 subscales: self-worth, disentanglement from the ex-partner, anger, grief, and social trust. The social self-worth subscale was excluded. Reliability analyses revealed good internal consistency of the subscales and adequate convergent validity with depression, anxiety, stress, and life satisfaction. Given the psychometric properties of this short version, it can be concluded that the FDAS–SF can be used in the Chilean context to evaluate the adjustment to divorce and separation.     

Unintended Consequences of Land Rights Reform: The Case of the 1998 Uganda Land Act

Empirical studies of land rights privatisation have tended to underemphasise the unintended impacts of land rights reform relative to establishing whether the predicted impacts have occurred. This article, in reviewing some of the unintended consequences of the 1998 Uganda Land Act, draws attention to ways in which intended impacts may be undercut by lack of both consultation and foresight in anticipating responses to new legal provisions and by lack of adequate resourcing of the reform process. It also recognises that unintended outcomes may sometimes reflect appropriate adaptations of legal provisions at the local level, and briefly considers what light the Ugandan experience can throw on recent proposals for Normalisation of informal property rights in the Third World.     

DISSECTING THE MONTY HALL ANOMALY

We assess competing explanations of irrational behavior in the Monty Hall problem by creating new variants of the problem. Some variants employ a feature that automates the merging of probabilities, thus rendering transparent the probabilistic advantage of the rational choice. That feature also enables systematic variation in informational asymmetry, and in ordering of actions. Data from 77 subjects, each of whom makes 30 binary decisions, indicate that automated merging raises the fraction of rational choices from around 40% to over 80%. Other features examined have much less impact, indicating the importance of a Bayesian updating failure. (JEL C91, D02, D81, D83)     

Determinants of Migrant Career Success: A Study of Recent Skilled Migrants in Australia

Australia has been aggressively pursuing skilled migrants to sustain its population and foster economic growth. However, many skilled migrants experience a downward career move upon migration to Australia. Based on a survey of recent skilled migrants, this study investigates how individual (age, years of settlement, qualifications), national/societal (citizenship and settlement), and organization-level (climate of inclusion) factors influence their career success. Overall, we found that: (1) age at migration matters more than length of settlement in predicting skilled migrant career success; (2) citizenship uptake and living in a neighbourhood with a greater number of families from the same country of origin facilitate post-migration career success; and (3) perceptions of one's social/informal networks in the workplace – a dimension of perceived organizational climate of inclusion – also have a positive impact on migrant career outcomes.     

Cognition in Situations

The symbolic interactionist tradition can contribute to advancing sociological studies of cognition by setting dual process models on more solid ground. I draw on Blumer's epistemological statements and the interactionist tradition more broadly to consider how dual process models of cognition could be applied to naturally occurring situations. I suggest that attending to the ways the past and the future are handled and modified within social interaction provides a usable inroad for the sociology of cognition to engage with situational analysis. I identify “resonance” and “iterative reprocessing” as concepts that are suitable to this end.     

Estimation of the Intraclass Correlation Coefficient for the Analysis of Covariance Model

For the unbalanced analysis of covariance model with one covariate, a simple formula is given for the intraclass correlation coefficient estimator that results from Henderson's Method 3 estimation of variance components. Example calculations and the corresponding interpretations are given for a study of the correlation of iron content among brothers. The example illustrates the manner in which the estimator depends on the pattern of correlation between the covariate and the variable under investigation.     

South Africa: Anti-Apartheid NGOs in Transition

Under apartheid, there were an ever-increasing number of nongovernmental organizations (NGOs) concerned about challenging the South African state and furthering a nonracial democratic society. In the 1990s, with the transition to an African National Congress-led democratic government, these organizations underwent profound changes. This article describes the key dynamics of this process, outlines the challenges currently confronting the new NGO sector, and concludes that the prospects for progressive NGO work in dealing with the poor and marginalized are constrained by the prevailing neoliberal economic climate.     

Development of Ego‐resiliency: Relations to Observed Parenting and Polymorphisms in the Serotonin Transporter Gene During Early Childhood

We used observed parenting behaviors, along with genetic variants and haplotypes of the serotonin transporter gene (SLC6A4), as predictors of children's ego‐resiliency during early childhood (N = 153). The quality of mothers' parenting was observed at 18 months of age, and mothers' reports of ego‐resiliency were collected at six time points from 18 to 84 months. Genetic data were collected at 72 months. Observed parenting was positively associated with initial levels of children's ego‐resiliency. Furthermore, although individual genetic variants of the serotonin transporter gene (LPR, STin2) were not associated with ego‐resiliency, the S10 haplotype (that combines information from these two variants) was negatively associated with initial levels of ego‐resiliency. Both parenting and serotonin genetic variation uniquely predicted children's ego‐resiliency, suggesting an additive effect of genetic and parental factors.