‘The Ostrich Problem’: Motivated Avoidance or Rejection of Information About Goal Progress

Monitoring one's current standing with respect to goals can promote effective self‐regulation. However, the present review suggests that there is an ostrich problem such that, in many instances, people have a tendency to “bury their head in the sand” and intentionally avoid or reject information that would help them to monitor their goal progress. For example, people with diabetes avoid monitoring their blood glucose, and few people monitor their household energy consumption, check their bank balances, keep track of what they are eating and so on. While situational constraints can explain some problems with progress monitoring, we use a self‐motives framework to posit that the decision to avoid monitoring often represents the product of an interaction between different motives. For example, the desire to accurately assess progress may conflict with the desire to protect or enhance the self. The present review collates evidence pertaining to the ostrich problem, identifies different motives that underlie the decision to monitor versus not monitor goal progress, illustrates how the ostrich problem might be integrated into models of self‐regulation, and provides suggestions for future research. In so doing, the review advances our understanding of the nature and determinants of intentionally deficient monitoring.     

The distortion of criteria after decision-making

The results of two experiments indicate that decision-makers separately distort their interpretations of decision criteria and evaluations of information in a manner that justifies their decisions. In Study 1, participants reported a yes/no decision either before or after they rated the applicable decision criterion and problem information. Participants distorted their criterion and information ratings more when they reported their decisions before, rather than after, they rated the decision criterion and problem information. Study 2 demonstrated that distortion of decision criterion ratings occurred after a decision had been made whereas distortion of information evaluations occurred during the process of reaching a decision. These results are consistent with a two-stage model of decision-making in which the distortion of decision criteria is distinct from the distortion of decision information.     

A Voice Cursing in the Wilderness

Book reviewed in this article:
John Berkman and Michael Cartwright (eds), The Hauerwas Reader     

Teasing,rejection, and violence: Case studies of the school shootings

Media commentators have suggested that recent school shootings were precipitated by social rejection, but no empirical research has examined this claim. Case studies were conducted of 15 school shootings between 1995 and 2001 to examine the possible role of social rejection in school violence. Acute or chronic rejection—in the form of ostracism, bullying, and/or romantic rejection—was present in all but two of the incidents. In addition, the shooters tended to be characterized by one or more of three other risk factors—an interest in firearms or bombs, a fascination with death or Satanism, or psychological problems involving depression, impulse control, or sadistic tendencies. Implications for understanding and preventing school violence are discussed. Aggr. Behav. 29:202–214, 2003. © 2003 Wiley‐Liss, Inc.     

Application of the technology and innovation park concept in the developing world: Dimensions and considerations

In the developing world, applications of the technology and innovation park concept continue to emerge, characterized by sophisticated cutting-edge infrastructure technologies combined with a supportive business environment focused on knowledge-based industries. Three models of park application were identified and illustrated with examples drawn from a study of twenty technology and innovation parks in developing countries. Despite its implicit nature, innovation theory provides the underlying premise — that investments in technology and innovation will lead to economic development. Based on the findings of this study, revisions to innovation theory are proposed. She has worked with local, regional, and national governments to design and implement technology-based economic development programs and policies. She is author of Evaluating Technology-Based Economic Development (2002).     

Expectancy priming of smoking cessation messages enhances the placebo effect of tailored interventions.

OBJECTIVE: Previous research (Webb, Simmons, & Brandon, 2005) suggested that smokers' reactions to self-help materials were more positive if they believed that the materials had been personally tailored to their individual characteristics and if they held expectancies that tailored interventions are superior to standard, or generic, interventions. The authors' objective in the current study was to replicate and extend this research by testing the efficacy expectancy priming before intervention delivery. DESIGN: In a 2 x 2 factorial experiment, 210 smokers (M = 23 cigarettes/day) recruited from the community (62% female; 92% Caucasian; mean age = 49) were randomly assigned to 1 of 4 conditions: placebo-tailored intervention/no priming, placebo-tailored intervention/priming, standard intervention/no priming, or standard intervention/priming. The tailoring-related expectancies of participants' in the priming conditions were primed before they were presented with the respective intervention booklets. MAIN OUTCOME MEASURES: Content evaluations, readiness to quit smoking, cessation self-efficacy, smoking-related knowledge, and progress toward quitting (behavior changes). Assessments occurred by mail at baseline and at 1-month postintervention. RESULTS: Similar to the earlier study, the placebo-tailored booklets produced superior evaluations and smoking-related cognitive and behavioral changes. Moreover, the pretreatment expectancy priming successfully altered participants' tailoring-related expectancies and also produced superior evaluations and outcomes. CONCLUSION: Findings support a causal role of tailoring-related expectancies on the efficacy of tailored interventions and suggest that interventions can be enhanced via expectancy priming.