Technology transfer concerns of college graduates with disabilities: Profiles in transition from higher education to competitive careers

The article describes the technology transfer concerns reported by a small sample (N=14) of recent college graduates with disabilities. In structured, in-depth interviews, researchers asked respondents to reflect on the extent to which they had utilized technology resources during their college years in preparation for the world of work. Results suggest that colleges and universities need to play a more active role in introducing students with disabilities to both generalized and assistive technology services.     

The effect of cross-cultural dialogue on child welfare parenting classes: anecdotal evidence in black and white

The child welfare system indicates that evidence of successful completion of parenting classes is instrumental in determining whether parents are actively engaged in the process of permanency planning. Such classes vary in length and intensity with topics ranging from "How to Raise Healthy Families" to "How to Discipline Your Child." Two social workers (one white and one black), who initially disagreed about the format of a parenting class, chronicle their efforts to collaborate and create a class format that recognizes the psychosocial and, more specifically, the cultural influences inherent in facilitating these classes. The juxtaposition of the clinical concepts of projection and projective identification are evaluated against the backdrop of the social concepts of empowerment and diversity.     

Interparental Conflict and Preschoolers' Peer Relations: The Moderating Roles of Temperament and Gender

The relations between destructive interparental conflict (IPC) and three‐ to six‐year‐olds’ (N = 62) peer relations were examined as a function of child temperament and gender. Regression analyses indicated that effortful control moderated the relations of IPC with children's amount of peer interaction as well as with their problematic relations with peers. Specifically, high IPC was associated with low amount of interaction and high problematic relations for preschoolers low in effortful control, but it was related to high amount of interaction and low problems for those high in effortful control. Additionally, gender differences in the relations between IPC and the amount of peer interaction indicated that IPC was negatively related to the amount of interaction for girls but positively related to the amount for boys. The findings highlight the need for examining individual differences in the relations between IPC and the development of early peer relations.     

Supplementing a survey with respondent Twitter data to measure e-cigarette information exposure

ABSTRACT

Social media data are increasingly used by researchers to gain insights on individuals’ behaviors and opinions. Platforms like Twitter provide access to individuals’ postings, networks of friends and followers, and the content to which they are exposed. This article presents the methods and results of an exploratory study to supplement survey data with respondents’ Twitter postings, networks of Twitter friends and followers, and information to which they were exposed about e-cigarettes. Twitter use is important to consider in e-cigarette research and other topics influenced by online information sharing and exposure. Further, Twitter metadata provide direct measures of user’s friends and followers as opposed to survey self-reports. We find that Twitter metadata provide similar information to survey questions on Twitter network size without inducing recall error or other measurement issues. Using sentiment coding and machine learning methods, we find Twitter can elucidate on topics difficult to measure via surveys such as online expressed opinions and network composition. We present and discuss models predicting whether respondents’ tweet positively about e-cigarettes using survey and Twitter data, finding the combined data to provide broader measures than either source alone.     

International cooperation in stockpiles and tariffs for coping with oil supply disruptions

This paper provides a unified treatment of oil stockpiling and demand restraint as policy responses for enhancing energy security and examines the implications of recent changes in the structure and performance of the international oil market for the design of policies. These issues are addressed using a dynamic programming framework in which international policy actions of key oil-importing countries are modeled as a Nash dynamic game. Significant policy implications from the analysis include: (1) the result that, with realistic assumptions about disruption risks and inventory capacities, differences between noncooperative and coordinated stockpile policies appear to be minor and (2) significant mutual gains could be reaped from a modest degree of collective restraint on normal market oil demand. The broader role of international cooperation in enhancing energy security is also discussed.     

Developmental Career Counseling with Teenage Parents

Although teenage parenthood is recognized by many counselors as a developmental identity crisis, it rarely has been viewed as a developmental career crisis. This article suggests developmental career assessment and counseling procedures for use with teenage parents.     

Using unlabelled data to update classification rules with applications in food authenticity studies

Summary.  An authentic food is one that is what it purports to be. Food processors and consumers need to be assured that, when they pay for a specific product or ingredient, they are receiving exactly what they pay for. Classification methods are an important tool in food authenticity studies where they are used to assign food samples of unknown type to known types. A classification method is developed where the classification rule is estimated by using both the labelled and the unlabelled data, in contrast with many classical methods which use only the labelled data for estimation. This methodology models the data as arising from a Gaussian mixture model with parsimonious covariance structure, as is done in model-based clustering. A missing data formulation of the mixture model is used and the models are fitted by using the EM and classification EM algorithms. The methods are applied to the analysis of spectra of food-stuffs recorded over the visible and near infra-red wavelength range in food authenticity studies. A comparison of the performance of model-based discriminant analysis and the method of classification proposed is given. The classification method proposed is shown to yield very good misclassification rates. The correct classification rate was observed to be as much as 15% higher than the correct classification rate for model-based discriminant analysis.