SAGE Journal Articles

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Journal Article 1: Sayette, M. A., Loewenstein, G., Griffin, K. M., & Black, J. (2008). Exploring the cold-to-hot empathy gap in smokers. Psychological Science19, 926–932. Retrieved from

Abstract: Many decisions related to cigarette smoking require people in an affectively neutral, or “cold,” state to predict how they will feel or behave when in a craving, or “hot,” state. Research in other domains has revealed that individuals in cold states often underestimate the impact of being in a hot state on their own future behavior. In a study testing whether this is true of cigarette craving, 98 smokers were assigned to one of three conditions: hot (during a high-craving first session, they made predictions about a high-craving state in a second session), cold (during a low-craving first session, they made predictions about a high-craving state in a second session), and comparison (they experienced a high-craving session only). As predicted, in contrast to smokers in the hot group, smokers in the cold group underpredicted the value they would place on smoking during the second session. Results support the existence of a cold-to-hot empathy gap in smokers and help to explain diverse aspects of tobacco addiction.

Journal Article 2: Moore, C. (2009). Fairness in children’s resource allocation depends on the recipient. Psychological Science20, 944–948. Retrieved from

Abstract: Sixty-six children between 4.5 and 6 years of age were tested in a resource-allocation game with three different recipients. When the recipient was a friend, children made equitable decisions and shared as much when there was a cost to themselves as when there was no cost. When the recipient was another familiar child who was not a friend, children were less likely to allocate resources to that child. When the recipient was a stranger, children allocated resources as much as with a friend and more than with a nonfriend when there was no cost to themselves. However, when there was a cost to themselves, children treated strangers like nonfriends. These results show that resource-allocation decisions made by young children depend on the recipient. Young children prefer equitable division of resources with friends, treat non-friends less well, and make prosocial moves with strangers when the cost to self is not high.

Journal Article 3: Zheng, C., Erickson, A. G., Kingston, N. M., & Noonan, P. M. (2014). The relationship among self-determination, self-concept, and academic achievement for students with learning disabilities. Journal of Learning Disabilities47, 462–474. Retrieved from

Abstract: Research suggests that self-determination skills are positively correlated with factors that have been shown to improve academic achievement, but the direct relationship among self-determination, self-concept, and academic achievement is not fully understood. This study offers an empirical explanation of how self-determination and self-concept affect academic achievement for adolescents with learning disabilities after taking into consideration the covariates of gender, income, and urbanicity. In a nationally representative sample (N = 560), the proposed model closely fit the data, with all proposed path coefficients being statistically significant. The results indicated that there were significant correlations among the three latent variables (i.e., self-determination, self-concept, and academic achievement), with self-determination being a potential predictor of academic achievement for students with learning disabilities.

Journal Article 4: Gigerenzer, G., Gaissmaier, W., Kurz-Milcke, E., Schwartz, L. M., & Woloshin, S. (2007). Helping doctors and patients make sense of health statistics. Psychological Science in the Public Interest8, 53-96. Retrieved from

Abstract: Many doctors, patients, journalists, and politicians alike do not understand what health statistics mean or draw wrong conclusions without noticing. Collective statistical illiteracy refers to the widespread inability to understand the meaning of numbers. For instance, many citizens are unaware that higher survival rates with cancer screening do not imply longer life, or that the statement that mammography screening reduces the risk of dying from breast cancer by 25% in fact means that 1 less woman out of 1,000 will die of the disease. We provide evidence that statistical illiteracy (a) is common to patients, journalists, and physicians; (b) is created by nontransparent framing of information that is sometimes an unintentional result of lack of understanding but can also be a result of intentional efforts to manipulate or persuade people; and (c) can have serious consequences for health.

Journal Article 5: Scherer, K. R. (2005). What are emotions? And how can they be measured? Social Science Information44, 695–729. Retrieved from

Abstract: Defining “emotion” is a notorious problem. Without consensual conceptualization and operationalization of exactly what phenomenon is to be studied, progress in theory and research is difficult to achieve and fruitless debates are likely to proliferate. A particularly unfortunate example is William James’s asking the question “What is an emotion?” when he really meant “feeling”, a misnomer that started a debate which is still ongoing, more than a century later. This contribution attempts to sensitize researchers in the social and behavioral sciences to the importance of definitional issues and their consequences for distinguishing related but fundamentally different affective processes, states, and traits. Links between scientific and folk concepts of emotion are explored and ways to measure emotion and its components are discussed.

Journal Article 6: Tamir, M. (2016). Why do People Regulate their Emotions? A Taxonomy of Motives in Emotion Regulation. Personality and Social Psychology Review20, 199–222. Retrieved from

Abstract: Emotion regulation involves the pursuit of desired emotional states (i.e., emotion goals) in the service of superordinate motives. The nature and consequences of emotion regulation, therefore, are likely to depend on the motives it is intended to serve. Nonetheless, limited attention has been devoted to studying what motivates emotion regulation. By mapping the potential benefits of emotion to key human motives, this review identifies key classes of motives in emotion regulation. The proposed taxonomy distinguishes between hedonic motives that target the immediate phenomenology of emotions, and instrumental motives that target other potential benefits of emotions. Instrumental motives include behavioral, epistemic, social, and eudaimonic motives. The proposed taxonomy offers important implications for understanding the mechanism of emotion regulation, variation across individuals and contexts, and psychological function and dysfunction, and points to novel research directions.