Magnification of affect using frame-by-frame film analysis

Frame-by-frame film analysis of social interaction enhances the observer's ability to make inferences about the affective component of the interaction by allowing a detailed and precise review of the interpersonal behavior. An example of leave-taking behavior between a parent and preschool child is presented. The magnification of the interaction by repeated slow-motion viewing allows one to draw out emotional behavioral components that occur too rapidly to be perceived at normal speed. The technique is applicable to any type of interpersonal analysis.     

Cognitive-behavioral therapy for obsessive-compulsive disorder: review of treatment techniques

Obsessive-compulsive disorder (OCD) is a chronic, impairing condition with an estimated lifetime prevalence in adults of 2.5%. Controlled treatment trials have demonstrated that cognitive-behavioral therapy (CBT) is an effective intervention for OCD. However, many individuals diagnosed with OCD do not receive appropriate, empirically validated interventions, perhaps due to limited knowledge of CBT among mental health practitioners. This article provides a review of CBT for OCD. Issues related to treatment delivery and assessment are presented and highlighted by an individual example.     

Presidential Coattails in 1972

Because Richard Nixon's overwhelming victory in the 1972 presidentialelection was not accompanied by any significant increase inRepublican representation in Congress, it has been assumed thathis coattails were exceedingly short. However, analysis of severalkinds of evidence suggests that such an assumption is prematureand that Nixon's pulling power has been underestimated. An explanationof the failure of Republican gains to materialize as congressionalseats may be found in the competitive disadvantages sufferedby Republicans in a period of increasingly safe seats.     

Psychological Testing in a Multicultural Society: Universal or particular competencies?

This paper deals with the issue of whether standardised psychological tests, in particular intelligence tests, are suitable for assessing ethnic minorities in a multicultural society. Three different levels of analysis are applied to address this question: the socio-political, the ethical and the test-theoretical level. The socio-political level of analysis highlights the obstacles ethnic minorities encounter when attempting to settle in a new society, and the measures that could be taken to remove these obstacles. The ethical level of analysis elucidates our point of view that: (1) universal and particular competencies both have clear roles in the lives of individuals and groups, but; (2) these can not always be reconciled in educational settings; which (3) calls for various choices: between certain political commitments (e.g. the right to cultural differences), and the consequences of these (e.g. excluding those who are different from full participation in specific, mainstream roles and functions). Central to the paper is our sense that the testing of ethnic minorities "tests" the limits and possibilities of intercultural education.     

Measurement error, skewness, and risk analysis: coping with the long tail of the distribution.

Probabilistic risk analyses often construct multistage chance trees to estimate the joint probability of compound events. If random measurement error is associated with some or all of the estimates, we show that resulting estimates of joint probability may be highly skewed. Joint probability estimates based on the analysis of multistage chance trees are more likely than not to be below the true probability of adverse events, but will sometimes substantially overestimate them. In contexts such as insurance markets for environmental risks, skewed distributions of risk estimates amplify the "winner's curse" so that the estimated risk premium for low-probability events is likely to be lower than the normative value. Skewness may result even in unbiased estimators of expected value from simple lotteries, if measurement error is associated with both the probability and pay-off terms. Further, skewness may occur even if the error associated with these two estimates is symmetrically distributed. Under certain circumstances, skewed estimates of expected value may result in risk-neutral decisionmakers exhibiting a tendency to choose a certainty equivalent over a lottery of equal expected value, or vice versa. We show that when distributions of estimates of expected value are, positively skewed, under certain circumstances it will be optimal to choose lotteries with nominal values lower than the value of apparently superior certainty equivalents. Extending the previous work of Goodman (1960), we provide an exact formula for the skewness of products.