Youth Transitions: Debates over the Social Context of Becoming an Adult

The study of young people has become a mainstay of social science. Education, employment, leisure, criminality, family life are all spheres within which the different experiences of young people have been examined. The principal tool for many of these studies has been a focus on transitions, looking at origins, journeys and destinations. The transition from school to work has been given the most attention, but increasingly there is interest in other life transitions such as (i) family development through relationships, marriage and children; and (ii) setting up a home outside that in which one was brought up. The focus on youth transitions has been found to be of use in both theoretical and policy developments. This paper reviews debates in the contemporary field of youth research and argues that only through taking a context-specific transitional approach, focusing primarily on education and employment, can one fully understand and theorise the position of young people in society.     

Nationwide Newspaper Coverage of Immigration Reform: A Community Structure Approach

A community structure analysis compared community characteristics and nationwide coverage of immigration reform in newspapers in 21 major U.S. cities, sampling all 250+ word articles April 23, 2010 to November 12, 2013. The resulting 262 articles were coded for “prominence” and “direction” (“favorable,” “unfavorable,” or “balanced/neutral” coverage), then combined into each newspaper's composite “Media Vector” (range = .632 to ?.4800). Nineteen of 21 newspapers showed favorable coverage of immigration reform. Pearson correlations yielded 4 significant results, the most powerful of which supported immigration reform. The “vulnerability” hypothesis (media “mirror” the interests of marginal/disadvantaged groups) was essentially confirmed. Higher percentages below the poverty line (r = .607, p = .003) and higher crime rates (r = .490, p = .017) correlated with more favorable coverage of immigration reform. By contrast, higher percentages of women in the workforce (r = ?.543, p = .008) and higher proportions of hate crimes (r = ?.403, p = .048) were linked with less favorable coverage. Regression analysis yielded the percentage living below the poverty line accounting for 37.2% of the variance, and proportion of hate crimes yielded an additional 19.1% of the variance. The Midwest had by far the most favorable coverage of immigration reform, more than any other region.     

Developing expert systems for management applications

The Alvey Report has resulted in a growing interest in the UK in ‘expert systems’. It is fairly generally accepted, at least in the UK, that such systems function in a particular type of way, i.e. they arrive at decisions through a process of rule based inference. It is suggested that it may be more fruitful to regard rule based inference as one approach to the construction of expert systems, and that proven techniques of operational research may well be more useful in constructing other types of expert system. Alternative applications of expert systems are derived on the basis of a broader definition of an expert system in terms of what it does rather than how it does it. A parallel is drawn between these applications and some typical concerns of business research. It is suggested that a useful aid in identifying promising business applications of expert systems is to set up four ‘dimensions’ along which different types of system differ. Examples are given of where other techniques might conceivably be useful in applications of expert systems.     

Helpful actions seen through the eyes of parents of children with disabilities

Parents of children with disabilities interact with a wide range of service providers in order to assure appropriate services for their children. While some actions performed by professionals are viewed as helpful, many are viewed as obstructive. Surveys completed by over 120 parents identified past actions perceived to be helpful and those thought to be unhelpful as well as identification of professionals associated with those actions. Using the critical incident technique, narrative responses were based on actual experiences that parents described. Parents were also asked to articulate specific actions they would like professionals to take in the future. Over half of the responses request desired relationships with professionals that focus on respect, collaboration, communication and information sharing. Implications for pre-professional training are discussed.     

Improving homeless persons' utilisation of primary care: lessons to be learned from an outreach programme in The Netherlands

Elissen AMJ, Van Raak AJA, Derckx EWCC, Vrijhoef HJM. Improving homeless persons' utilisation of primary care: lessons to be learned from an outreach programme in The Netherlands Faced with rising homelessness, countries around the world are in need of innovative approaches to caring for those without shelter, who, more often than not, suffer from severe health problems. We conducted a case study of an innovative Dutch Primary Care for the Homeless (PCH) programme to gain insight into clients' demographic characteristics, health problems and service use, and to develop an explanation for its success in increasing the latter. Our analyses are based on a combination of quantitative and qualitative data. The results of the study suggest that the success of the PCH programme can be explained by the providers' pragmatism and will to adapt their mode of care provision to the behavioural patterns and needs of their homeless clients.     

Trends cycles and seasons: Econometric methods of signal extraction

Alternative methods of trend extraction and of seasonal adjustment are described that operate in the time domain and in the frequency domain.

The time-domain methods that are implemented in the TRAMO–SEATS and the STAMP programs are compared. An abbreviated time-domain method of seasonal adjustment that is implemented in the IDEOLOG program is also presented. Finite-sample versions of the Wiener–Kolmogorov filter are described that can be used to implement the methods in a common way.

The frequency-domain method, which is also implemented in the IDEOLOG program, employs an ideal frequency selective filter that depends on identifying the ordinates of the Fourier transform of a detrended data sequence that should lie in the pass band of the filter and those that should lie in its stop band. Filters of this nature can be used both for extracting a low-frequency cyclical component of the data and for extracting the seasonal component.     

The use of auxiliary variables in capture-recapture modelling: an overview

I review the use of auxiliary variables in capture-recapture models for estimation of demographic parameters (e.g. capture probability, population size, survival probability, and recruitment, emigration and immigration numbers). I focus on what has been done in current research and what still needs to be done. Typically in the literature, covariate modelling has made capture and survival probabilities functions of covariates, but there are good reasons also to make other parameters functions of covariates as well. The types of covariates considered include environmental covariates that may vary by occasion but are constant over animals, and individual animal covariates that are usually assumed constant over time. I also discuss the difficulties of using time-dependent individual animal covariates and some possible solutions. Covariates are usually assumed to be measured without error, and that may not be realistic. For closed populations, one approach to modelling heterogeneity in capture probabilities uses observable individual covariates and is thus related to the primary purpose of this paper. The now standard Huggins-Alho approach conditions on the captured animals and then uses a generalized Horvitz-Thompson estimator to estimate population size. This approach has the advantage of simplicity in that one does not have to specify a distribution for the covariates, and the disadvantage is that it does not use the full likelihood to estimate population size. Alternately one could specify a distribution for the covariates and implement a full likelihood approach to inference to estimate the capture function, the covariate probability distribution, and the population size. The general Jolly-Seber open model enables one to estimate capture probability, population sizes, survival rates, and birth numbers. Much of the focus on modelling covariates in program MARK has been for survival and capture probability in the Cormack-Jolly-Seber model and its generalizations (including tag-return models). These models condition on the number of animals marked and released. A related, but distinct, topic is radio telemetry survival modelling that typically uses a modified Kaplan-Meier method and Cox proportional hazards model for auxiliary variables. Recently there has been an emphasis on integration of recruitment in the likelihood, and research on how to implement covariate modelling for recruitment and perhaps population size is needed. The combined open and closed 'robust' design model can also benefit from covariate modelling and some important options have already been implemented into MARK. Many models are usually fitted to one data set. This has necessitated development of model selection criteria based on the AIC (Akaike Information Criteria) and the alternative of averaging over reasonable models. The special problems of estimating over-dispersion when covariates are included in the model and then adjusting for over-dispersion in model selection could benefit from further research.