What are personality traits? Are all “broad” traits equally broad in the constructs they encompass and in the pervasiveness of their effects? Or are some traits more or less affective, behavioral, or cognitive in nature? The present study examined these issues as they applied to the Big 5 traits of Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness. Expert and novice raters judged the extent to which items from four popular Big 5 inventories contain behavioral, cognitive, or affective components. Traits and inventories were then compared in terms of their relative assessment of these components. Results indicate convergence among inventories but remarkable differences between traits. These findings have implications for the conceptualization and assessment of traits and suggest directions for future research.

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Although the accuracy of weather and climate forecasts is continuously improving and new information retrieved from climate data is adding to the understanding of climate variation, use of the forecasts and climate information by farmers in farming decisions has changed little. This lack of change may result from knowledge barriers and psychological, social, and economic factors that undermine farmer motivation to use forecasts and climate information. According to the theory of planned behavior (TPB), the motivation to use forecasts may arise from personal attitudes, social norms, and perceived control or ability to use forecasts in specific decisions. These attributes are examined using data from a survey designed around the TPB and conducted among farming communities in the region of eastern Nebraska and the western U.S. Corn Belt. There were three major findings: 1) the utility and value of the forecasts for farming decisions as perceived by farmers are, on average, around 3.0 on a 0–7 scale, indicating much room to improve attitudes toward the forecast value. 2) The use of forecasts by farmers to influence decisions is likely affected by several social groups that can provide “expert viewpoints” on forecast use. 3) A major obstacle, next to forecast accuracy, is the perceived identity and reliability of the forecast makers. Given the rapidly increasing number of forecasts in this growing service business, the ambiguous identity of forecast providers may have left farmers confused and may have prevented them from developing both trust in forecasts and skills to use them. These findings shed light on productive avenues for increasing the influence of forecasts, which may lead to greater farming productivity. In addition, this study establishes a set of reference points that can be used for comparisons with future studies to quantify changes in forecast use and influence.

Results of a set of four regression models applied to recent survey data of farmers in eastern Nebraska suggest the causes that drive farmer intentions of using weather and climate information and forecasts in farming decisions. The model results quantify the relative importance of attitude, social norm, perceived behavioral control, and financial capability in explaining the influence of climate-conditions information and short-term and long-term forecasts on agronomic, crop insurance, and crop marketing decisions. Attitude, serving as a proxy for the utility gained from the use of such information, had the most profound positive influence on the outcome of all the decisions, followed by norms. The norms in the community, as a proxy for the utility gained from allowing oneself to be influenced by others, played a larger role in agronomic decisions than in insurance or marketing decisions. In addition, the interaction of controllability (accuracy, availability, reliability, timeliness of weather and climate information), self-efficacy (farmer ability and understanding), and general preference for control was shown to be a substantive cause. Yet control variables also have an economic side: The farm-sales variable as a measure of financial ability and motivation intensified and clarified the role of control while also enhancing the statistical robustness of the attitude and norms variables in better clarifying how they drive the influence. Overall, the integrated model of planned behavior from social psychology and derived demand from economics, that is, the "planned demand model," is more powerful than models based on either of these approaches alone. Taken together, these results suggest that the "human dimension" needs to be better recognized so as to improve effective use of climate and weather forecasts and information for farming decision making.

This chapter presents an overview of the concept of toughness, which at the abstract level is about the harmony of physiological systems, and more concretely is about how the body influences the mind. Toughness theory begins with the recognition that there is a “training effect” for neuroendocrine systems. Following a review of the characteristics of interventions and training programs that can promote toughness, the authors present a model in which the effects of toughness are mediated by neuroendocrine systems such as the pituitary-adrenal-cortical system and the central nervous system. The elements of toughness (e.g., having a greater capacity for arousal and energy when needed) are proposed to promote positive outcomes by facilitating the use of adaptive coping strategies and improving emotional stability. Toughness therefore appears to be a promising concept within positive psychology in that it helps to explain how the dynamic interactions between psychological and somatic processes can promote positive outcomes.