Effects of alcohol on the nonverbal communication of anxiety: The impact of beliefs on nonverbal behavior

Three male and three female raters were shown videotapes of 29 male subjects who were speaking to a silent female confederate. Raters were asked to make 10 judgments about the subjects' behavior. The subjects had been assigned to one of two expectancy conditions in which they were led to believe the drink they consumed prior to meeting the confederate contained alcohol and tonic or tonic only. Actually, half of the subjects in each expectancy condition received alcohol and half received tonic only. Judgments of the female raters viewing the videotapes were congruent with physiological measures of the subjects' anxiety. Those subjects who believed they received alcohol were perceived by female raters as more relaxed, less anxious, less inhibited, and more dominant than subjects who believed they received tonic. The actual content of the drink had no significant effects on the raters' judgements of the subjects' behavior. Male raters were unable to discriminate among the experimental conditions. Implications for possible gender of rater effects in behavioral assessment procedures as well as for the impact of beliefs on nonverbal communication are discussed.     

A consistent system of conditional probabilities which is not compatible with any random field

A consistent, Markovian family of conditional densities is constructed which is not compatible with any random field.     

Remove unwanted variation retrieves unknown experimental designs

Remove unwanted variation (RUV) is an estimation and normalization system in which the underlying correlation structure of a multivariate dataset is estimated from negative control measurements, typically gene expression values, which are assumed to stay constant across experimental conditions. In this paper we derive the weight matrix which is estimated and incorporated into the generalized least squares estimates of RUV-inverse, and show that this weight matrix estimates the average covariance matrix across negative control measurements. RUV-inverse can thus be viewed as an estimation method adjusting for an unknown experimental design. We show that for a balanced incomplete block design (BIBD), RUV-inverse recovers intra- and interblock estimates of the relevant parameters and combines them as a weighted sum just like the best linear unbiased estimator (BLUE), except that the weights are globally estimated from the negative control measurements instead of being individually optimized to each measurement as in the classical, single measurement BIBD BLUE.     

The social and demographic impact of the Southeast Asian Crisis of 1997–99

When an unexpected financial crisis overtook Southeast Asia in 1997 planners and policymakers feared that the economic difficulties would unwind two decades of remarkable economic and social development. Newspaper headlines spoke of massive increases in poverty, unemployment and malnutrition, and it was speculated that family planning programs would collapse and fertility would rise dramatically. Infant and child mortality and maternal mortality were also expected to increase. This paper briefly reviews the onset of the financial crisis as a background for assessing whether speculations about die demographic and social effects tallied with reality. It is found that these effects were neither as dramatic nor as easy to monitor as some of the public debate implied. The general lesson is that the most serious social and demographic problems were not so much the products of crisis as embedded in chronic weaknesses that had become entrenched in times of economic growth. The crisis exposed these weaknesses.     

Demographic change and shifting views about marine resources and the coastal environment in Downeast Maine

Connections to the sea often define the character of coastal towns. However, as migrants arrive and economic diversification occurs, views about the use of marine resources and the ocean environment can change. Using survey data from Maine, we examined whether shifting demographics affect public perceptions of marine resource uses and coastal environmental concerns. We tested resource use and environmental items against a common set of demographic, background, and place-related variables. Results indicate that the level of education and the county of residence predict Mainers?? views about different marine resource uses and ocean-related environmental issues. Political party affiliation strongly influences environmental concern but not views about the use of marine resources. Migration history, on the other hand, has little effect. Understanding community contexts as well as individual background and ideological orientations will be critical as managers attempt to balance alternative uses of marine resources and resolve coastal environmental problems.