Using Instructive Feedback to Increase Response Variability During Intraverbal Training for Children with Autism Spectrum Disorder

We evaluated the effects of instructive feedback on the variability of intraverbal responses for two children with autism spectrum disorder. Specifically, we used an adapted alternating treatments design to compare participants’ novel responses and response combinations during an intraverbal category program across conditions with and without instructive feedback. During instructive feedback, secondary targets were presented during the consequence event of the learning trial and consisted of a therapist’s model of response variability. The results showed that participants engaged in more novel response combinations during instructive feedback conditions. We discussed the clinical implications of these results as well as areas for future research.     

Exploring environmental scanning for China's government information: A government official's perspective

This study examined strategic government-information scanning in China from the perspective of government officials by a survey. TV, government officials/party members, newspapers, and government websites were the most important sources. Information from individual sources was perceived differently in six quality aspects. Structural Equation Modeling results revealed that source importance was significantly predicted by information quality in TV and government websites but not in the other two sources.     

Accounting for animal density gradients using independent information in distance sampling surveys

Distance sampling is extensively used for estimating animal density or abundance. Conventional methods assume that location of line or point transects is random with respect to the animal population, yet transects are often placed along linear features such as roads, rivers or shorelines that do not randomly sample the study region, resulting in biased estimates of abundance. If it is possible to collect additional data that allow an animal density gradient with respect to the transects to be modelled, we show how to extend the conventional distance sampling likelihood to give asymptotically unbiased estimates of density for the covered area. We illustrate the proposed methods using data for a kangaroo population surveyed by line transects laid along tracks, for which the true density is known from an independent source, and the density gradient with respect to the tracks is estimated from a sample of GPS collared animals. For this example, density of animals increases with distance from the tracks, so that detection probability is overestimated and density underestimated if the non-random location of transects is ignored. When we account for the density gradient, there is no evidence of bias in the abundance estimate. We end with a list of practical recommendations to investigators conducting distance sampling surveys where density gradients could be an issue.     

Private companies' engagement in the labour market integration of refugees: An exploratory study of the city of Stuttgart,Germany

Private companies of all sizes may engage in the integration of refugees into the labour market. Taking the case study of the highly industrialised German city of Stuttgart, this study explores the motivation of (a) private large-scale international enterprises including (automotive and high-tech companies) and (b) family-owned small- to medium-sized companies (private social enterprises, suppliers to the automotive industries, architecture, and engineering companies) to do so. The research further explores the companies' challenges, opportunities and the lessons learned throughout the process. Utilising the principles of Grounded Theory, a qualitative case study approach is applied with in-depth interviews with private companies, civil society, public private partnerships and experts. The findings show that the arrival of a large number of refugees during 2015/2016 has increased the engagement of the companies, increased their cooperation with other sectors, and has correspondingly led to some innovative initiatives in refugees' labour market integration and policy advocacy. The call for the engagement of the private sector and the existence of employment-related policies such as tolerated work permits (Ausbildungsduldung/Beschäftigungsduldung) were essential to create sufficient incentives for private companies to engage in the training and employment of refugees. However, the insecure residence permits and bureaucratic procedures in the public sector mostly discouraged their engagement. Our research shows that the two company types had different possibilities, different approaches towards refugees and faced different challenges while engaging in refugee labour market integration.     

Intergenerational mobility and racial inequality: The case for a more holistic approach

Intergenerational social mobility studies have largely explored the relationship between one aspect of parent background (e.g., education, income, occupational status, wealth, or neighborhood context) and the corresponding aspect of that parent's child once they reach adulthood. Studies examining these various measures have provided differing conclusions about the extent that social origins constrain attainment in the U.S. In contrast, the persistence of racial inequality in intergenerational mobility is one consistent finding. For instance, across various measures, research demonstrates Black individuals are more likely than White individuals to experience downward mobility, and less likely to exceed the socioeconomic standings of their parents. In this article, we argue that a more holistic measure of both origin and destination, one that combines the above-mentioned indicators, is necessary to advance our understanding of the extent that origin constrains future attainment. We summarize lessons gleaned from one-dimensional estimates, and from other approaches that either combine some dimensions of socioeconomic background or attempt to capture a more holistic background in other ways. We then make a recommendation for methodological interventions to accomplish this more holistic approach and conclude with research and policy implications.