Behaviour management or institutionalised repression? Children’s experiences of physical restraint in custody

This article reports on a study of children's experiences of being physically restrained by staff in a range of custodial settings. The research was carried out in collaboration with a team of young researchers, and generated rich and insightful accounts of children's experiences of legitimised violence in the form of ‘restraint’. These lead us to reflect on whether this is a normal and justifiable feature of custody, or as oppressive and unacceptable to the extent that it represents a form of brutalisation, and an unnecessary, unjustifiable and repressive form of control, where the rights of children are routinely transgressed.     

Geriatric enrichment: guaranteeing a place for aging in the curriculum

Two years ago, the School of Social Work embarked upon a new and challenging initiative to create sustainable structural changes that enrich gerontological learning experiences for all our BSW and MSW students, faculty, fieldwork instructors and community practitioners. We envisioned that participation in this initiative would enable us to expand and embed geriatric content in the undergraduate and graduate curriculum, to increase our geriatric fieldwork placement opportunities, to evaluate and enhance our teaching and learning resources on aging, and to develop two new aging specific courses. Having reached our third year of operation, we find ourselves reflecting on what have been our successes, what could we have done differently, and where do we go in the future. This article will describe our process of developing a model of curriculum change that will guarantee a place for aging in both our undergraduate and graduate curricula.     

In Search of More Meaningful Search

The amount of online scholarly information is rapidly expanding and residing in increasingly disparate sources, while user behavior is evolving to demand single search interfaces like Google. Federated search enables librarians to meet these challenges by supplying efficient, effective access and delivery of the most relevant content from diverse sources to their patrons. Introducing the ability to simultaneously search multiple databases, however, can quickly lead to information overload. Dynamic categorization of search results is one way to manage and organize the large volume of content returned. This article will examine various federated search technologies and important considerations that librarians should undertake when evaluating federated search applications, as well as address how SwetsWise Searcher supports the fundamental aspects of federated searching within that context.     

Information,measure shifts and distribution metrics

Reflexive shifting of a given distribution, using its own distribution function, can reveal information. The shifts are changes in measure such that the separation of the resulting left and right unit shifted distributions reveals the binary entropy of position, called locational or partition entropy. This can be used for spread and asymmetry functions. Alternatively, summary metrics for distributional asymmetry and spread can be based on the relative strengths of left- and right-hand shifts. Such metrics are applicable even for long tail densities where distributional moments may not exist.     

Exact Statistical Tests for Heterogeneity of Frequencies Based on Extreme Values

Sophisticated statistical analyses of incidence frequencies are often required for various epidemiologic and biomedical applications. Among the most commonly applied methods is the Pearson's χ² test, which is structured to detect non specific anomalous patterns of frequencies and is useful for testing the significance for incidence heterogeneity. However, the Pearson's χ² test is not efficient for assessing the significance of frequency in a particular cell (or class) to be attributed to chance alone. We recently developed statistical tests for detecting temporal anomalies of disease cases based on maximum and minimum frequencies; these tests are actually designed to test of significance for a particular high or low frequency. The purpose of this article is to demonstrate merits of these tests in epidemiologic and biomedical studies. We show that our proposed methods are more sensitive and powerful for testing extreme cell counts than is the Pearson's χ² test. This feature could provide important and valuable information in epidemiologic or biomeidcal studies. We elucidated and illustrated the differences in sensitivity among our tests and the Pearson's χ² test by analyzing a data set of Langerhans cell histiocytosis cases and its hypothetical sets. We also computed and compared the statistical power of these methods using various sets of cell numbers and alternative frequencies. The investigation of statistical sensitivity and power presented in this work will provide investigators with useful guidelines for selecting the appropriate tests for their studies.     

Ridge Analysis 25 Years Later

The response surface technique called ridge analysis was originally introduced by Hoerl (1959) more than 25 years ago. Despite tremendous advantages over more conventional response surface procedures when more than two independent variables are present, ridge analysis has received little attention in the statistical literature since then, although numerous applications have appeared in engineering journals. This situation may be partially due to the fact that this procedure led to the discovery of ridge regression, which has completely overshadowed ridge analysis in the literature since. This discussion will briefly review the mathematics of ridge analysis, its literature, practical advantages, and relationship to ridge regression.     

Multivariate goodness-of-fit tests based on statistically equivalent blocks

Various nonparametric procedures are known for the goodness-of-fit test in the univariate case. The distribution-free nature of these procedures does not extend to the multivariate case. In this paper, we consider an application of the theory of statistically equivalent blocks(SEB)to obtain distribution-free procedures for the multivariate case. The sample values are transformed to random variables which are distributed as sample spacings from a uniform distribution on [0, 1], under the null hypothesis. Various test statistics are known, based on the spacings, which are used for testing uniformity in the univariate case. Any of these statistics can be used in the multivariate situation, based on the spacings generated from the SEB. This paper gives an expository development of the theory of SEB and a review of tests for goodness-of-fit, based on sample spacings. To show an application of the SEB, we consider a test of bivariate normality.     

The Demand for Lotto: The Role of Conscious Selection

This article presents estimates of the elasticity of demand for lottery tickets using time series data in which there is variation in the expected value of a lottery ticket induced by rollovers. An important feature of our data is that there are far more rollovers than expected given the lottery design. We find strong evidence that individuals do not choose their lottery numbers uniformly from a uniform distribution—that is, conscious selection. We use our estimates to derive the inverse supply function for the industry, and this enables us to identify the demand elasticity. We find the price elasticity to be close to unity, which implies that the operator is revenue maximizing—which is the regulator's objective.     

Nonparametric Nonlinear Cotrending Analysis,With an Application to Interest and Inflation in the United States

Given the assumption that the components of a vector time series are stationary around nonlinear deterministic time trends, nonlinear cotrending is the phenomenon that one or more linear combinations of the time series are stationary around a linear trend or a constant; hence, the series have common nonlinear deterministic time trends. In this article, I develop nonparametric tests for nonlinear cotrending, and I derive nonparametric estimators of the cotrending vectors. I apply this approach to the federal funds rate and the consumer price index inflation rate in the United States, using monthly data, to analyze the price puzzle.