Criteria‐based content analysis of true and suggested accounts of events

Worldwide, the criteria‐based content analysis (CBCA) is probably the most widely used veracity assessment technique for discriminating between accounts of true and fabricated events. In this study, two experiments examined the effectiveness of the CBCA for discriminating between accounts of true events and suggested events believed to be true. In Experiment 1, CBCA‐trained judges evaluated participants' accounts of true and suggestively planted childhood events. In Experiment 2, judges analysed accounts of recent events that were experimentally manipulated to be a (a) true experience, (b) false experience believed to be true and (c) deliberately fabricated experience. In both experiments CBCA scores were significantly higher for accounts of true events than suggested events. However, this difference was not significant for participants classified as experiencing ‘full’ memories for the suggested event. Self‐report memory measures supported the findings of the CBCA analyses. Taken together these results suggest that the CBCA discriminative power is greatly constrained. Copyright © 2008 John Wiley & Sons, Ltd.     

The effects of wording on the understanding and use of uncertainty information in a threshold forecasting decision

Many believe that information about small chances of severe weather would be useful to the general public for precautionary action. What is the best way to explain this kind of information to a non‐expert audience? The studies reported here investigated effects of framing (negative vs. positive), format (frequency vs. probability), likelihood (low vs. high) and compatibility (task‐match) on interpretation of verbal expressions of forecast uncertainty and on subsequent forecasting decisions. The crucial factor was the match between the verbal expression and the overall task goal. Errors increased when there was a mismatch between the expression (e.g. winds less than 20 knots) and the task (e.g. post an advisory when winds will exceed 20 knots). However, framing and format had little impact. We conclude that consideration of user expectations arising from the overall task goal is crucial in explaining uncertainty information to a naïve audience. Global expectations overpower other potential effects. Copyright © 2008 John Wiley & Sons, Ltd.     

What coping tells about personality

In this study, 123 participants (non‐psychology students) who responded to an interpersonal stress situation staged in the laboratory were judged by unacquainted observers in terms of the Big Five dimensions, intelligence and social attractiveness. Coping behaviour appeared to predict personality impressions in a way that mirrors the relations between personality and coping observed in previous research: Overall, higher levels of Extraversion (E), Agreeableness (A), Conscientiousness (C) and Openness to experience (O) (as well as intelligence and social attractiveness) were predicted by problem‐focussed behaviour and cognitive restructuring, whereas higher levels of Neuroticism (N) were predicted by withdrawal/passivity. The interpersonal impact of the particular coping reactions, as indicated by a positive personality impression, were largely inconsistent with their impact on affect following the stress induction. Copyright © 2009 John Wiley & Sons, Ltd.     

Better safe than sorry: Precautionary reasoning and implied dominance in risky decisions

In four studies, student and nonstudent participants evaluated the possible outcomes of binary decisions involving health, safety, and environmental risks (e.g., whether to issue a dam‐failure evacuation order). Many participants indicated that false positives (e.g., evacuation, but no dam failure) were better than true negatives (e.g., no evacuation and no dam failure), thereby implying that the more protective action dominated the less protective action. A common rationale for this response pattern was the precautionary maxim “better safe than sorry.” Participants apparently evaluated outcomes partly on the basis of the decisions that might lead to them, in conflict with consequentialist decision models. Consistent with this explanation, the prevalence of implied dominance decreased substantially when the emphasis on decisions was reduced. These results demonstrate that an initial preference for a decision alternative can alter the evaluation of possible consequences of both the preferred alternative and a competing alternative, suggesting positive feedback loops that reinforce the initial preference. The rationality of considering the decision itself as an attribute of possible outcomes is discussed. Copyright © 2009 John Wiley & Sons, Ltd.     

The listener's temperament and perceived tempo and loudness of music

The relationship between the listener's temperament and perceived magnitude of tempo and loudness of music was studied using the techniques of magnitude production, magnitude estimation scaling and cross‐modal matching. Four piano pieces were presented at several levels of tempo and loudness. In Study 1, participants adjusted tempo and loudness of music to their subjective level of comfort. In Study 2, participants estimated these parameters on a numerical scale and matched the length of a line segment to the estimates of these musical features. The results showed significant correlations of selected aspects of perceived tempo with perseveration and endurance as well as of selected aspects of perceived loudness with endurance and emotional reactivity. Perceived tempo and loudness, as measured by magnitude production and cross‐modal matching tasks, do not seem to systematically correlate with the six formal characteristics of behaviour distinguished in the most recent version of the Regulative Theory of Temperament (RTT). Additionally, there is some evidence that they are selectively associated with reactivity and activity, the dimensions of a previous version of the RTT. The study extends the methodology of research on music preferences and the stimulatory value of music. Copyright © 2009 John Wiley & Sons, Ltd.     

Evaluating a dual‐process model of risk: affect and cognition as determinants of risky choice

In three studies we addressed the impact of perceived risk and negative affect on risky choice. In Study 1, we tested a model that included both perceived risk and negative affect as predictors of risky choice. Study 2 and Study 3 replicated these findings and examined the impact of affective versus cognitive processing modes. In all the three studies, both perceived risk and negative affect were shown to be significant predictors of risky choice. Furthermore, Study 2 and Study 3 showed that an affective processing mode strengthened the relation between negative affect and risky choice and that a cognitive processing mode strengthened the relation between perceived risk and risky choice. Together, these findings show support for the idea of a dual‐process model of risky choice. Copyright © 2008 John Wiley & Sons, Ltd.     

Optimum sample size allocation to minimize cost or maximize power for the two‐sample trimmed mean test

When planning a study, sample size determination is one of the most important tasks facing the researcher. The size will depend on the purpose of the study, the cost limitations, and the nature of the data. By specifying the standard deviation ratio and/or the sample size ratio, the present study considers the problem of heterogeneous variances and non‐normality for Yuen's two‐group test and develops sample size formulas to minimize the total cost or maximize the power of the test. For a given power, the sample size allocation ratio can be manipulated so that the proposed formulas can minimize the total cost, the total sample size, or the sum of total sample size and total cost. On the other hand, for a given total cost, the optimum sample size allocation ratio can maximize the statistical power of the test. After the sample size is determined, the present simulation applies Yuen's test to the sample generated, and then the procedure is validated in terms of Type I errors and power. Simulation results show that the proposed formulas can control Type I errors and achieve the desired power under the various conditions specified. Finally, the implications for determining sample sizes in experimental studies and future research are discussed.