Much ado about nothing: The zero effect in life‐saving decisions

Zero is a special value in our daily lives, and previous research on how zero values affect decision making leaves many questions to be explored. The present research examined the zero effect in life‐saving decisions and found that people expressed strong preferences for options offering a possibility that no one will die, even when the expected loss was relatively high. The prominence effect (the notion that the option with possibly zero deaths is easy to defend and justify) was proposed as one possible explanation. Furthermore, we also found that the zero effect in these life‐saving decisions occurs only in loss framing rather than gain framing. We discuss the relationships between the zero effect, framing, and evaluation mode in life saving and other domains.     

Religious beliefs,patient–doctor interaction and resilience as predictors for treatment decisions and health outcomes of heart patients

Treatment decision-making in chronic illness poses long-lasting effects on the health status of patients. In Western individualistic cultures, they are independently taken by the individual in collaboration with doctors contrary to the collectivistic Indian context, where it’s decided by families with little or no involvement of patients. Religious beliefs, patient–doctor interaction, and resilience measures of 100 CAD patients were used to assess their religious beliefs, patient–doctor interaction, and resilience (predictors). Hierarchical Regression Analysis was conducted to test for the significance of the proposed model. Religious beliefs, patient–doctor interaction, and resilience collectively predicted the significant change in decision-making styles, somatic symptoms, anxiety, social dysfunctions, depression, and general health total of the participants. While the treatment decision-making is heavily contingent upon the social factors namely – religious beliefs, patient–doctor interaction, and resilience, there may yet be some underlying psychological factors that have not been explored in the present study.     

Employer Perceptions of Online Versus Face‐to‐Face Degree Programs

A perception of lesser value for online degrees may lead employers to discount educational background based upon delivery mode. This article examines employers’ perceptions of face‐to‐face versus online master of business administration degrees in new hire and promotion decisions. Using a qualitative design, the authors conducted a pilot and larger study. Results indicated that those making selection decisions view face‐to‐face degrees more positively than online degrees. This finding is considerably more pronounced for employers making new hire decisions than for those making promotion decisions. Specific results and implications are discussed.     

Reliance on Numerical Precision: Compatibility between Accuracy versus Efficiency Goals and Numerical Precision Level Influence Attribute Weighting in Two‐Stage Decisions

This research examines how the weighting of an attribute is jointly affected by attribute precision and decision stage. Building on prior work suggesting (a) that less (more) precise numerical values are easier to process (more accurate), (b) that decision‐makers' motivation to be efficient (accurate) is greater when creating a consideration set (making a final choice), and (c) that decision‐makers tend to overweight information that is compatible with their goals, we hypothesize that when creating a consideration set (making a choice) participants tend to assign greater weight to less (more) precise attributes. Five studies (two of them reported in the Appendix S1) offer triangulating evidence for these predictions. Overall, this work contributes to research on numerical cognition, efficiency versus accuracy trade‐offs, attribute weighting, and two‐stage decisions.     

Detection and Selection Decisions with Conditional Feedback: Interaction of Task Uncertainty and Base Rate

Effects of task uncertainty on decision thresholds in a multiple cue decision task were examined under two types of feedback and three base rate conditions. In most such decision experiments, participants receive feedback after every trial (full feedback) with a single (usually .5) base rate. Our experiment explored conditional (decision‐contingent) feedback, in a task representing a detection problem (passenger screening) in which the decision maker receives no feedback unless the decision is positive (search the passenger). Increased uncertainty made all dependent measures worse. Task uncertainty had detrimental effects on both judgment and decision making, and interacted with effects of feedback and base rate. Decision performance was better with full feedback than with conditional feedback, but not by much. There may be no single unifying explanation for results of our base rate manipulation. Conditional feedback generally resulted in fewer positive decisions than full feedback, but not in the low (.1) base rate condition. Results provide partial support for constructivist encoding and for accuracy maximization with moderate and high base rates, but not with a low base rate. Our results indicated lower selection rates with conditional feedback compared with full feedback in moderate and high base rate conditions, and a more exploratory strategy with higher selection rates with conditional feedback compared with full feedback when base rate was low. Copyright © 2018 John Wiley & Sons, Ltd.     

Dynamic decision making: a comparison of approaches

This paper is concerned with a specific type of problem, namely dynamic decisions, for which most techniques fail to provide adequate solutions. Here, we present two of the most promising optimization techniques, partially observable Markov decision processes (POMDP) and dynamic decision networks (DDN), while arguing which is the most suitable for this problem domain. Copyright © 2000 John Wiley & Sons, Ltd.     

Valuing the future: a MADA example involving nuclear waste storage

Intertemporal decision making involves decisions that have consequences that span several periods of time and often extend far into the future. The purpose of this paper is to discuss and highlight the differences associated with different evaluation methods designed to cope with the long-term impacts of a decision including discounting. The concepts and ideas are illustrated in the context of a decision about a nuclear waste facility. We show how applying different discounting methodologies can greatly affect the decision made, especially over long time periods. © 1998 John Wiley & Sons, Ltd.     

投资决策进化心理学的研究：预期的私人资金分配和父母对子女的差异性精力投入

投资决策的进化心理学研究着眼于辨认人类获得进化适应的特定环境中经常出现的典型性风险,探寻为了应对这些风险而进化出的信息处理机制,并验证现时的社会因素和个体因素对这些心理机制的激活或抑制作用。在研究一中,被试预测了与自己同龄的男人或女人如何分配一笔中彩的奖金给自己和其他可能的受益人。研究发现：（1）钱数的分配大体由亲缘关系的疏密程度决定;（2）两性被试都假想男性比女性更慷慨,但实际上男性表现得更自利;（3）女性被试预测男性中奖人的金钱分配比男性被试预测女性中奖人的金钱分配更为准确;（4）女性被试的受益人更多,分享的社会范围更广。研究二探讨了父母对子女投入精力的不同取决于家庭的相对财富而非绝对财富的进化心理学假说。用哺乳与否和生育间隔期为测量指标,研究结果显示：（1）家庭实际收入影响父母对子女的总投入;（2）与邻里家庭相比,父母对于自己家庭相对收入的认知影响了对子女有别的差异性精力投入。基于男性普遍在财富和生育数量上比女性有更大的变异度,投资儿子比投资女儿更具博弈性。两项研究表明,人类的理性决策既受限于社会关系又适应于相对的财富状况