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Pier Paolo Roggero – One of the best experts on this subject based on the ideXlab platform.
Perceiving to learn or learning to perceive? Understanding farmers’ Perceptions and adaptation to climate uncertaintiesAgricultural Systems, 2016Co-Authors: Thi Phuoc Lai Nguyen, Giovanna Seddaiu, Salvatore Gonario Pasquale Virdis, Camillo Tidore, M. Pasqui, Pier Paolo RoggeroAbstract:
Perception not only shapes knowledge but knowledge also shapes Perception. Humans adapt to the natural world through a process of learning in which they interpret their sensory impressions in order to give meaning to their environment and act accordingly. In this research, we examined how farmers’ decision making is shaped in the context of changing climate. Using empirical data (face-to-face semi-structured interviews and questionnaires) on four Mediterranean farming systems from a case study located in Oristano (Sardinia, Italy) we sought to understand farmers’ Perception of climate change and their behaviors in adjustment of farming practices. We found different Perceptions among farmer groups were mainly associated with the different socio-cultural and institutional settings and perceived relationships between climate factors and impacts on each farming systems. The research findings on different Perceptions among farmer groups can help to understand farmers’ current choices and attitudes of adaptation for supporting the development of appropriate adaptation strategies. In addition, the knowledge of socio-cultural and economic factors that lead to biases in climate Perceptions can help to integrate climate communication into adaptation research for making sense of climate impacts and responses at farm level.
William M P Klein – One of the best experts on this subject based on the ideXlab platform.
The Tripartite Model of Risk Perception (TRIRISK): Distinguishing Deliberative, Affective, and Experiential Components of Perceived RiskAnnals of Behavioral Medicine, 2016Co-Authors: Rebecca A. Ferrer, William M P Klein, Alexander Persoskie, Aya Avishai-yitshak, Paschal SheeranAbstract:
Background Although risk Perception is a key predictor in health behavior theories, current conceptions of risk comprise only one (deliberative) or two (deliberative vs. affective/experiential) dimensions. Purpose This research tested a tripartite model that distinguishes among deliberative, affective, and experiential components of risk Perception. Method In two studies, and in relation to three common diseases (cancer, heart disease, diabetes), we used confirmatory factor analyses to examine the factor structure of the tripartite risk Perception (TRIRISK) model and compared the fit of the TRIRISK model to dual-factor and single-factor models. In a third study, we assessed concurrent validity by examining the impact of cancer diagnosis on (a) levels of deliberative, affective, and experiential risk Perception, and (b) the strength of relations among risk components, and tested predictive validity by assessing relations with behavioral intentions to prevent cancer. Results The tripartite factor structure was supported, producing better model fit across diseases (studies 1 and 2). Inter-correlations among the components were significantly smaller among participants who had been diagnosed with cancer, suggesting that affected populations make finer-grained distinctions among risk Perceptions (study 3). Moreover, all three risk Perception components predicted unique variance in intentions to engage in preventive behavior (study 3). Conclusions The TRIRISK model offers both a novel conceptualization of health-related risk Perceptions, and new measures that enhance predictive validity beyond that engendered by unidimensional and bidimensional models. The present findings have implications for the ways in which risk Perceptions are targeted in health behavior change interventions, health communications, and decision aids.
the role of conviction in personal disease risk Perceptions what can we learn from research on attitude strengthSocial and Personality Psychology Compass, 2016Co-Authors: Jennifer M Taber, William M P KleinAbstract:
: Perceived riskrisk for disease is included as a predictor of intentions and behavior in many health behavior theories. However, perceived riskrisk is not always a strong predictor of intentions and behaviors. One reason may be suboptimal conceptualization and measurement of risk Perceptions; in particular, research may not capture the conviction and certainty with which a risk Perception is held. The rich and independent literature on attitudes might be leveraged to explore whether conviction is an important moderator of the effects of risk Perceptions on intentions and behavior. Attitudes are more predictive of intentions when they are high in multiple aspects of attitude strength, including attitude certainty and being more accessible and stable over time. Working from the assumption that risk Perceptions have a similar structure and function to attitudes, we consider whether factors known to strengthen the attitude-behavior correspondence might also strengthen the risk Perception-behavior correspondence. Although by strict definition risk Perceptions are not evaluations (a critical component of attitudes), the predictive validity of risk Perceptions may be increased by attention to one’s “conviction” or certainty of perceived riskrisk. We also review recent strategies designed to improve risk Perception measurement, including affective and experiential assessments of perceived riskrisk and the importance of allowing people to indicate that they “don’t know” their disease risk. The aim of this paper is to connect two disparate literatures-attitudes and persuasion in social psychology with risk Perceptions in health psychology and decision science-in an attempt to stimulate more work on characteristics and proper measurement of risk Perceptions.
Eduardo Araral – One of the best experts on this subject based on the ideXlab platform.
Improving effectiveness and efficiency in the water sector: Institutions, infrastructure and indicatorsWater Policy, 2010Co-Authors: Eduardo AraralAbstract:
A better understanding of the processes that influence public Perception can contribute to improvements in water management, consumer services, acceptability of water reusreuse and risk communication, among other areas. This paper discusses some of the main variables involved in public Perception of drinking water quality. Research on this topic suggests that Perceptions of water quality result from a complex interaction of diverse factors. In many circumstances, the estimation of water quality is mostly influenced by organoleptic properties, in particular flavour. In addition, a variety of other factors also have an influence on Perceptions of quality. These include risk Perception, attitudes towards water chemicals, contextual cues provided by the supply system, familiarity with specific water properties, trust in suppliers, past problems attributed to water quality and information provided by the mass media and interpersonal sources. The role and relevance of these factors are discussed in detail
Sujata A. Sirsat – One of the best experts on this subject based on the ideXlab platform.
Food Control, 2017Co-Authors: Heyao Yu, Kristen E. Gibson, Kathleen G Wright, Jack A. Neal, Sujata A. SirsatAbstract:
Abstract The number of farmers’ markets in United States (U.S.) increased dramatically from 1775 markets in 1994 to 8476 markets in 2014. However, few studies have investigated consumers’ food safety Perceptions toward products in farmers’ market or their impact on consumers’ purchasing behaviors. The objectives of this study were to understand consumers’ Perception of food safety at farmers’ markets and to explore the role of food safety Perception on their purchasing fresh produce at a farmers’ market. Analysis of covariance was used to investigate food safety Perceptions at farmers’ market among different demographic groups. In addition, multiple linear regression was used to explore factors including consumers’ food safety Perception and quality Perception on their purchasing at a farmers’ market. The results from the ANCOVA indicated that millennial generation consumers perceived better food safety conditions at farmers’ markets. The linear regressions indicated quality Perception and willingness to support local foods are primary reasons that consumers purchase products at farmers’ markets, while food safety Perception is not significantly related to purchasing fresh produce. The results imply that consumers generally hold a positive food safety Perception that may be in contrast to actual microbial safety of produce obtained from farmers’ markets. The results highlight an increasing need for consumer education specifically related to food safety awareness at farmers’ markets.
Sander Van Der Linden – One of the best experts on this subject based on the ideXlab platform.
The social-psychological determinants of climate change risk Perceptions: Towards a comprehensive modelJournal of Environmental Psychology, 2015Co-Authors: Sander Van Der LindenAbstract:
This study advances a detailed social-psychological model of climate change risk Perceptions by combining and integrating cognitive, experiential, and socio-cultural factors. The conceptual model is tested empirically on a national sample (. N=808) of the UK population. Results indicate that the full climate change risk Perception model (CCRPM) is able to explain nearly 70% of the variance in risk Perception. Gender, political party, knowledge of the causes, impacts and responses to climate change, social norms, value orientations, affect and personal experience with extreme weather were all identified as significant predictors. Experiential and socio-cultural factors explained significantly more variance in risk Perception than either cognitive or socio-demographic characteristics. Results also confirm that the factor analytic structure of climate change risk Perceptions can be conceptualized along two key dimensions, namely: personal and societal riskrisk judgments and that both dimensions have different psychological antecedents. Implications for theory and public risk communication are discussed.