The invisible minority: under-representation of people with disabilities in prime-time TV dramas in Japan

This study analysed the depiction of people with disabilities in Japanese TV dramas. Using preview issues of TV Guide, we content-analysed serial dramas and drama series aired during prime time on five commercial broadcasting networks between January 1993 and December 2002. The results showed that only 1.7 per cent of the characters examined were disabled, indicating that disabled persons were under-represented on TV. The study also found that most of the disabled persons depicted were young; there were almost no elderly people with disabilities. Analysis also revealed that Japanese TV dramas focused on certain disabilities. The implications of these findings are also discussed from the perspective of cultivation theory and the drench hypothesis.     

Psychological Theories and Low-Wage Work

Low-wage work is a modern social problem, affecting millions of individuals, families, and communities. The field of psychology is a critical starting point for examining the relationship between low-wage work and mental health. This literature review aims to identify psychological theories related to low-wage work. Psychological theories related to work and employment are explored, as is emerging research on the necessity of a paradigm shift from the dichotomous categories of “employed” and “unemployed,” which allows for the conceptualization of employment as a continuum. This research focuses on underemployment and may contribute to the development of theory directly relating to low-wage work.     

Hypotheses testing for structural calibration model

The main objective of this paper is to discuss maximum likelihood inference for the comparative structural calibration model (Barnett, in Biometrics 25:129–142, 1969), which is frequently used in the problem of assessing the relative calibrations and relative accuracies of a set of p instruments, each designed to measure the same characteristic on a common group of n experimental units. We consider asymptotic tests to answer the outlined questions. The methodology is applied to a real data set and a small simulation study is presented.     

The competing risks Cox model with auxiliary case covariates under weaker missing-at-random cause of failure

In the analysis of time-to-event data with multiple causes using a competing risks Cox model, often the cause of failure is unknown for some of the cases. The probability of a missing cause is typically assumed to be independent of the cause given the time of the event and covariates measured before the event occurred. In practice, however, the underlying missing-at-random assumption does not necessarily hold. Motivated by colorectal cancer molecular pathological epidemiology analysis, we develop a method to conduct valid analysis when additional auxiliary variables are available for cases only. We consider a weaker missing-at-random assumption, with missing pattern depending on the observed quantities, which include the auxiliary covariates. We use an informative likelihood approach that will yield consistent estimates even when the underlying model for missing cause of failure is misspecified. The superiority of our method over naive methods in finite samples is demonstrated by simulation study results. We illustrate the use of our method in an analysis of colorectal cancer data from the Nurses’ Health Study cohort, where, apparently, the traditional missing-at-random assumption fails to hold.     

The effect of exposure to a professor with a visible disability on students' attitudes toward disabilities

An exploratory study was conducted on a small convenience sample of undergraduate social work students. The Modified Issues in Disability Scale was used to collect data on attitudes toward disability. There was no statistically significant difference in the attitudes scores among students who had different levels of contact with persons with disabilities. There was, however, a statistically significant difference between students who had a professor with a disability and those who did not. The former had more positive attitudes toward disability. These findings suggest that schools of social work should recruit more professors with disabilities.     

Bayesian analysis of null intercept errors-in-variables regression for pretest/post-test data

This article discusses a Bayesian analysis of repeated measures pretest/post-test data under null intercepts errors-in-variables regression models. For illustration we consider an example in the field of dentistry involving the comparison of two types of toothbrushes with respect to the efficacy in removing dental plaque. The proposed Bayesian approach accommodates the correlated measurements and incorporates the restriction that the slopes must lie in the [0,1] interval, a feature not considered in the analysis conducted by Singer & Andrade (1997). The observed values of the (repeated) response and explanatory variables are supposed to follow a Multivariate Student- t distribution. A Gibbs sampler is used to perform the computations.     

Influence diagnostics in heteroscedastic and/or autoregressive nonlinear elliptical models for correlated data

In this paper, we propose nonlinear elliptical models for correlated data with heteroscedastic and/or autoregressive structures. Our aim is to extend the models proposed by Russo et al. 22 by considering a more sophisticated scale structure to deal with variations in data dispersion and/or a possible autocorrelation among measurements taken throughout the same experimental unit. Moreover, to avoid the possible influence of outlying observations or to take into account the non-normal symmetric tails of the data, we assume elliptical contours for the joint distribution of random effects and errors, which allows us to attribute different weights to the observations. We propose an iterative algorithm to obtain the maximum-likelihood estimates for the parameters and derive the local influence curvatures for some specific perturbation schemes. The motivation for this work comes from a pharmacokinetic indomethacin data set, which was analysed previously by Bocheng and Xuping 1 under normality.     

The independent living movement in Asia: solidarity from Japan

Independent living movements of disabled people are emerging in Asian countries, supported by independent living centres (ILCs) in Japan. A study was conducted in Japan to explore the impact of the training program offered by Japanese ILCs to disabled people from other Asian countries. A sample of 35 people was selected by a snowballing method. The sample included former trainees from Asian countries and Japanese personnel from disability organizations involved with the training program. In‐depth interviews and a focus group were conducted to obtain information about the program, the experiences of the trainees and Japanese hosts and the budding independent living movement in Asia.     

Empirical research on international environmental migration: a systematic review

This paper presents the findings of a systematic review of scholarly publications that report empirical findings from studies of environmentally-related international migration. There exists a small, but growing accumulation of empirical studies that consider environmentally-linked migration that spans international borders. These studies provide useful evidence for scholars and policymakers in understanding how environmental factors interact with political, economic and social factors to influence migration behavior and outcomes that are specific to international movements of people, in highlighting promising future research directions, and in raising important considerations for international policymaking. Our review identifies countries of migrant origin and destination that have so far been the subject of empirical research, the environmental factors believed to have influenced these migrations, the interactions of environmental and non-environmental factors as well as the role of context in influencing migration behavior, and the types of methods used by researchers. In reporting our findings, we identify the strengths and challenges associated with the main empirical approaches, highlight significant gaps and future opportunities for empirical work, and contribute to advancing understanding of environmental influences on international migration more generally. Specifically, we propose an exploratory framework to take into account the role of context in shaping environmental migration across borders, including the dynamic and complex interactions between environmental and non-environmental factors at a range of scales.     

Exploring trends: tracking evaluations data over several months by therapists and parents of children with cerebral palsy

A pilot study was conducted at the outpatient rehabilitation unit of a children's hospital to explore the overall performance trends of children in daily life as perceived by their parents, compared to the evaluations of therapists. A performance goal was set for each child by his/her therapist and parent at an initial consultation. Over a six-month period, data were collected from the parents of children with cerebral palsy (N = 53), and therapists assessed children at each therapy session as well. The evaluations of both parents and therapists showed statistically significant upward trends in performance over several months.