The Disneyization of Society

This article proposes the idea of Disneyization as a complementary notion to McDonaldization. Disneyization is depicted as a process by which the principles of the Disney theme parks dominate more and more sectors of society. It is presented as comprising four aspects: theming, dedifferentiation of consumption, merchandising, and emotional labour. The empirical manifestations of these attributes are outlined. The roots of Disneyization in theories of consumerism and consumer culture are examined and are contrasted with the grounding of McDonaldization in the idea of rationalization. Some of the theoretical implications of the contrasts between Disneyization and McDonaldization are presented.     

Using quantile averages in matched observational studies

In two observational studies, one investigating the effects of minimum wage laws on employment and the other of the effects of exposures to lead, an estimated treatment effect's sensitivity to hidden bias is examined. The estimate uses the combined quantile averages that were introduced in 1981 by B. M. Brown as simple, efficient, robust estimates of location admitting both exact and approximate confidence intervals and significance tests. Closely related to Gastwirth's estimate and Tukey's trimean, the combined quantile average has asymptotic efficiency for normal data that is comparable with that of a 15% trimmed mean, and higher efficiency than the trimean, but it has resistance to extreme observations or breakdown comparable with that of the trimean and better than the 15% trimmed mean. Combined quantile averages provide consistent estimates of an additive treatment effect in a matched randomized experiment. Sensitivity analyses are discussed for combined quantile averages when used in a matched observational study in which treatments are not randomly assigned. In a sensitivity analysis in an observational study, subjects are assumed to differ with respect to an unobserved covariate that was not adequately controlled by the matching, so that treatments are assigned within pairs with probabilities that are unequal and unknown. The sensitivity analysis proposed here uses significance levels, point estimates and confidence intervals based on combined quantile averages and examines how these inferences change under a range of assumptions about biases due to an unobserved covariate. The procedures are applied in the studies of minimum wage laws and exposures to lead. The first example is also used to illustrate sensitivity analysis with an instrumental variable.     

Adventure as Character Work: The Collective Taming of Fear

It is ultimately through experience that character is formulated and made evident. From an ethnographic examination of an adventure program (Ropes Adventure, Inc.) that attempts to mold the identity of adolescents who have been detained for minor felonies and misdemeanors, we examine how personal challenge can be channeled into moral messages. By evoking and then taming fear (adventure), organizations demonstrate the power of personal accomplishment, trust, and cooperation—each socially legitimated moral virtues. We argue that character building efforts may be hampered when organizational aims and actual implementation of structured adventure collide.     

Bootstrapping data with multiple levels of variation

The authors consider general estimators for the mean and variance parameters in the random effect model and in the transformation model for data with multiple levels of variation. They show that these estimators have different distributions under the two models unless all the variables have Gaussian distributions. They investigate the asymptotic properties of bootstrap procedures designed for the two models. They also report simulation results and illustrate the bootstraps using data on red spruce trees.