X2 and its components as tests of normality for grouped data

We consider testing for an unobservable normal distribution with unspecified mean and variance. It is only possible to observe the counts in groups with boundaries specified before sighting the data. On the basis of a small power study, we recommend the usual X² test be used as an omnibus test, augmented by informal examination of the first two non-zero components of X². We also recommend use of maximum likelihood and method of moments estimation.     

Too Much Fun: Toys as Social Problems and the Interpretation of Culture

Toys are a frequent subject of contemporary claims concerning social problems. Rooted in our culture's longstanding ambivalence regarding leisure and its concerns about children's vulnerability, claims about troublesome toys also reflect anxiety about children's increased susceptibility to non-familial influences, their growing access to toys, and an expanded toy industry, as well as an active social movement sector. Typically, these claims argue that toys represent undesirable values, and that children who play with the toys acquire those values. Parallel arguments may be found in claims regarding other forms of popular and material culture. Interactionists should be wary of making or accepting these claims, because rather than treating children's play as a topic (or empirical study, such claims locate meaning in objects, rather than actors.     

Blumer’s dilemma: The critic as a tragic figure

Herbert Blumer criticized sociological research for its failure to confront obdurate, empirical reality. However, Blumer conducted little research of his own. An examination of his works on crowds, fashion, and social problems reveals some of the same problems he found in others’ works. Blumer illustrates how critics risk becoming tragic figures, wedded to theoretical principles that cannot be put into practice. Thanks to Irwin Deutscher, John Lofland, Kathleen Lowney, David Maines, and Robert Prus for helpful comments on earlier drafts of this paper.     

Hierarchical related regression for combining aggregate and individual data in studies of socio-economic disease risk factors

Summary.  To obtain information about the contribution of individual and area level factors to population health, it is desirable to use both data collected on areas, such as censuses, and on individuals, e.g. survey and cohort data. Recently developed models allow us to carry out simultaneous regressions on related data at the individual and aggregate levels. These can reduce 'ecological bias' that is caused by confounding, model misspecification or lack of information and increase power compared with analysing the data sets singly. We use these methods in an application investigating individual and area level sociodemographic predictors of the risk of hospital admissions for heart and circulatory disease in London. We discuss the practical issues that are encountered in this kind of data synthesis and demonstrate that this modelling framework is sufficiently flexible to incorporate a wide range of sources of data and to answer substantive questions. Our analysis shows that the variations that are observed are mainly attributable to individual level factors rather than the contextual effect of deprivation.     

Extended Analysis of At Least Partially Ordered Multi‐factor ANOVA

For multifactor experimental designs in which the levels of at least one of the factors are ordered we show how to construct components that provide a deep nonparametric scrutiny of the data. The components assess generalised correlations and the resulting tests include and extend the Page and umbrella tests. Application of the tests described is straightforward. Orthonormal polynomials on the ANOVA responses and the factors are required and the formulae needed are given subsequently. These depend on the moments of the responses and of each factor and are easily calculated. Products of at least two of these orthonormal polynomials are then used as inputs into standard ANOVA routines. For example, using the first order orthonormal polynomial on factor A and the second order orthonormal polynomial on the ANOVA response will assess if, with increasing levels of factor A there is an umbrella response with either an increase and then a decrease or a decrease and then an increase.     

Intercultural Learning in a Multicultural Society

In this contribution the author describes intercultural education as education for higher order skills, that go beyond traditional teaching methods. Intercultural education emphasises interactive skills, it strengthens the self‐esteem of children by giving them a solid foundation to encounter the unknown.