Naturalistic Observation in the Laboratory

Symbolic interactionists generally eschew laboratory research in favor of naturalistic observation in field settings. This is consistent with the recommendations of Blumer, who argued that social processes and relationships, which are the appropriate subject matter for sociology, cannot be studied adequately within the laboratory. In this statement, I argue that when the laboratory is used as a “provocative stage,” the integrity of social action and social relationships as they are manifest in social process can be as adequately studied in the laboratory as they can be in the field. I further argue that when the laboratory is used in the manner specified here, Blumer's recommendations are more adequately met than they are in field studies.     

A changed America? The effects of September 11th on depressive symptoms and alcohol consumption

In the weeks following the terrorist attacks of September 11, 2001, social commentators argued that America had profoundly "changed." In light of these arguments and the literature on disasters, we examine the immediate and longer-term mental health consequences of September 11th using a national sample of full-time American workers. We model the effects of temporal proximity to the attacks on depressive symptoms and alcohol consumption, while controlling for demographic characteristics. Our data revealed a significant increase in the number of depressive symptoms reported during the 4 weeks after the attacks. In the subsequent weeks, levels of depressive symptoms returned to pre-September 11th levels. Contrary to expectations, there was some indication of decreased alcohol consumption after September 11th, although these effects were modest. These analyses provide little support for popular assertions that September 11th resulted in lasting and measurable impacts on Americans' well-being.     

Alcohol expectancies in relation to personality and aggression among juvenile delinquents in Northern Russia

The relationships between alcohol expectancies, level of alcohol use, alcohol-related problems, aggression, and personality factors in 198 Russian male juvenile delinquents were assessed. A clustering procedure was used in order to establish main patterns of alcohol expectancies, yielding three major clusters. Level of alcohol use, alcohol-related problems, aggression, and personality factors were compared across the identified clusters. It was established that juvenile delinquents with a high level of positive alcohol expectancies and aggression represented a risk-group for higher involvement in drinking behavior as well as problem drinking, which in turn are related to specific personality traits. Implications of these findings for alcohol prevention among the youth are discussed.     

Evaluation of a method for setting confidence intervals on the common mean of two normal populations

Let X₁, , X₂, …, X be distributed N(µ, σ² _x), let Y₁, Y₂, …, Y"_n be distributed N(µ, σ² _y), and let X , X , … X_m, Y₁, Y₂, …, Y_n be mutually independent. In this paper a method for setting confidence intervals on the common mean µ is proposed and evaluated.     

Portmanteau tests for linearity of stationary time series

This article considers the problem of testing for linearity of stationary time series. Portmanteau tests are discussed which are based on generalized correlations of residuals from a linear model (that is, autocorrelations and cross-correlations of different powers of the residuals). The finite-sample properties of the tests are assessed by means of Monte Carlo experiments. The tests are applied to 100 time series of stock returns.     

Divorced Fathers’ Proximity and Children’s Long-Run Outcomes: Evidence From Norwegian Registry Data

This study examines the link between divorced nonresident fathers’ proximity and children’s long-run outcomes, using high-quality data from Norwegian population registers. We follow (from birth to young adulthood) each of 15,992 children born into married households in Norway in the years 1975–1979 whose parents divorced during his or her childhood. We observe the proximity of the child to his or her father in each year following the divorce and link proximity to educational and economic outcomes for the child in young adulthood, controlling for a wide range of observable characteristics of the parents and the child. Our results show that closer proximity to the father following a divorce has, on average, a modest negative association with offspring’s outcomes in young adulthood. The negative associations are stronger among children of highly educated fathers. Complementary Norwegian survey data show that highly educated fathers report more post-divorce conflict with their ex-wives as well as more contact with their children (measured in terms of the number of nights that the child spends at the father’s house). Consequently, the father’s relocation to a more distant location following the divorce may shelter the child from disruptions in the structure of the child’s life as they split time between households and/or from post-divorce interparental conflict.     

Embedding latent class regression and latent class distal outcome models into cluster-weighted latent class analysis: a detailed simulation experiment

Usually in latent class (LC) analysis, external predictors are taken to be cluster conditional probability predictors (LC models with external predictors), and/or score conditional probability predictors (LC regression models). In such cases, their distribution is not of interest. Class-specific distribution is of interest in the distal outcome model, when the distribution of the external variables is assumed to depend on LC membership. In this paper, we consider a more general formulation, that embeds both the LC regression and the distal outcome models, as is typically done in cluster-weighted modelling. This allows us to investigate (1) whether the distribution of the external variables differs across classes, (2) whether there are significant direct effects of the external variables on the indicators, by modelling jointly the relationship between the external and the latent variables. We show the advantages of the proposed modelling approach through a set of artificial examples, an extensive simulation study and an empirical application about psychological contracts among employees and employers in Belgium and the Netherlands.