消费者百分比差异混淆:概念、影响因素及理论解释
Consumer Confusion of Percent Differences: Concepts, Influencing Factors and Theoretical Explanations
DOI: 10.12677/AP.2018.87120, PDF,   
作者: 李梦倩:武汉理工大学艺术与设计学院,湖北 武汉;包居旺, 陈李双:武汉体育学院健康科学学院,湖北 武汉
关键词: 百分比差异混淆数学能力时间压力双系统作用模型模糊痕迹理论Confusion of Percent Differences Mathematical Ability Time Pressure Dual-Process Model of Reasoning Fuzzy-Trace Theory
摘要: 消费者百分比差异混淆是基于消费者对百分比差异的一种直觉偏差,是一种对以百分比形式呈现的价格信息的错误理解。本文主要对现象进行概念上的界定,并重点分析了消费者的数学能力、计算难度、动机水平、时间压力、商品价格对消费者百分比差异混淆的影响。同时,本文通过双系统作用模型和模糊痕迹理论对该现象进行理论上的解释和分析。最后,对今后研究消费者百分比差异混淆现象提出了建议。
Abstract: Consumer confusion of percent differences is based on consumers’ intuitive bias toward percent differences and is a kind of misunderstanding about the price information appeared in the form of percentage. This article aims to define this phenomenon and emphasize on its influencing factors, such as mathematical ability and motivation of consumers, product price, time pressure and calculation difficulty. Furthermore, a dual-process model of reasoning and fuzzy-trace theory are employed to theoretically explain consumer confusion of percent differences. Few suggestions for the studies in the future concerning this phenomenon are addressed finally.
文章引用:李梦倩, 包居旺, 陈李双 (2018). 消费者百分比差异混淆:概念、影响因素及理论解释. 心理学进展, 8(7), 996-1004. https://doi.org/10.12677/AP.2018.87120

参考文献

[1] 陈军(2009). 归因风格、时间压力对决策信息加工的影响. 心理科学, 6, 1445-1447.
[2] 凌喜欢, 辛自强(2014). 时间压力和产品价格对消费者百分比差异混淆的影响. 心理与行为研究, 12(1), 85-90.
[3] 申继亮, 陈勃, 王大华, Gi-sela, L. V., & Manfred, D. (2001). 成人期智力的年龄特征: 中美比较研究. 心理科学, 24(3), 344-345.
[4] 孙彦, 李纾, 殷晓莉(2007). 决策与推理的双系统——启发式系统和分析系统. 心理科学进展, 15(5), 721-726.
[5] 王大伟, 刘永芳(2009). 时间知觉对决策制定的时间压力效应的影响. 心理科学, 5, 1106-1108.
[6] 张玥, 辛自强(2015). 计算难度和知识背景对消费者百分数基数忽略的影响. 心理科学, 4, 973-978.
[7] 赵正洋, 赵红(2011). 国外消费者混淆研究综述. 华东经济管理, 25(4), 146-151.
[8] 周正, 辛自强(2012). 数学能力与决策的关系: 个体差异的视角. 心理科学进展, 20(4), 542-551.
[9] Behr, M. J., Post, T. R., & Wachsmuth, I. (1986). Estimation and Children’s Concept of Rational Number Size. In H. L. Schoen, & M. J. Zweng (Eds.), National Council of Teachers of Mathematics Yearbook (pp. 103-111). Reston, VA: National Council of Teachers of Mathematics.
[10] Chen, H., Marmorstein, H., Tsiros, M., & Rao, A. R. (2012). When More Is Less: The Impact of Base Value Neglect on Consumer Preferences for Bonus Packs over Price Discounts. Journal of Marketing, 76, 64-77.[CrossRef
[11] Dehaene, S., Spelke, E., Pinel, P., Stanescu, R., & Tsivkin, S. (1999). Sources of Mathematical Thinking: Behavioral and Brain-Imaging Evidence. Science, 284, 970-974.[CrossRef] [PubMed]
[12] Dewdney, A. K. (1993). 200% of Nothing: An Eye-Opening Tour through the Twists and Turns of Math Abuse and Innumeracy. New York: John Wiley & Sons.
[13] Evans, J. S. B. T. (2003). In Two Minds: Dual-Process Account of Reasoning. Trends in Cognitive Sciences, 7, 454-459.[CrossRef] [PubMed]
[14] Ferreira, M. B., Garciamarques, L., Sherman, S. J., & Sherman, J. W. (2006). Automatic and Controlled Components of Judgment and Decision Making. Journal of Personality and Social Psychology, 91, 797-813.[CrossRef] [PubMed]
[15] Frederick, S. (2005). Cognitive Reflection and Decision Making. Journal of Economic Perspectives, 19, 25-42.[CrossRef
[16] Furlong, E. E., & Opfer, J. E. (2009). Cognitive Constraints on How Economic Rewards Affect Cooperation. Psychological Science, 20, 11-16.[CrossRef] [PubMed]
[17] Gallistel, C. R., & Gelman, R. (1992). Preverbal and Verbal Counting and Computation. Cognition, 44, 43-74.[CrossRef
[18] Hoz, R., & Gorodetsky, M. (1989). Cognitive Processes in Reading and Comparing Pure and Metric Decimal Rational Numbers. Journal of Structural Learning, 10, 53-71.
[19] Janis, I. L. (1982). Decision-Making under Stress. In L. Goldberger, & S. Breznitz (Eds.), Handbook of Stress: Theoretical and Clinical Aspects (pp. 69-80). New York, NY: Free Press.
[20] Kahneman, D., & Frederick, S. (2002). Representativeness Revisited: Attribute Substitution in Intuitive Judgment. In T. Gilovich, D. Griffin, & D. Kahneman (Eds.), Heuristics and Biases: The Psychology of Intuitive Judgment (pp. 49-81). Cambridge: Cambridge University Press.[CrossRef
[21] Keinan, G., Friedland, N., & Ben-Porath, Y. (1987). Decision Making under Stress: Scanning of Alternatives under Physical Threat. Acta Psychologica, 64, 219-228.[CrossRef
[22] Kruger, J., & Vargas, P. (2008). Consumer Confusion of Percent Differences. Journal of Consumer Psychology, 18, 49-61.[CrossRef
[23] Kurtz, D. L., & Clow, K. E. (1998). Services Marketing. New York, NY: John Wiley & Sons.
[24] Monroe, K. (2003). Pricing: Making Profitable Decisions. New York, NY: McGraw-Hill/Irwin.
[25] Nelson, W., Reyna, V. F., Fagerlin, A., Lipkus, I., & Peters, E. (2008). Clinical Implications of Numeracy: Theory and Practice. Annals of Behavioral Medicine, 35, 261-274.[CrossRef] [PubMed]
[26] Osman, M. (2004). An Evaluation of Dual-Process Theories of Reasoning. Psychometric Bulletin & Review, 11, 988-1010.[CrossRef
[27] Paulos, J. A. (1988). Innumeracy: Mathematical Illiteracy and Its Consequences. New York, NY: Hill and Wang.
[28] Peters, E., Västfjäll, D., Slovic, P., Mertz, C. K., Mazzocco, K., & Dickert, S. (2006). Numeracy and Decision Making. Psychological Science, 17, 407-413.[CrossRef] [PubMed]
[29] Petty, R. E., & Wegener, D. T. (1999). The Elaboration Likelihood Model: Current Status and Controversies. In S. Chaiken, & Y. Trope (Eds.), Dual-Process Theories in Social Psychology (pp. 73-96). New York, NY: Guilford Press.
[30] Reyna, V. F., & Brainerd, C. J. (2008). Numeracy, Ratio Bias, and Denominator Neglect in Judgments of Risk and Probability. Learning and Individual Differences, 18, 89-107.[CrossRef
[31] Reyna, V. F., & Lloyd, F. J. (2006). Physician Decision-Making and Cardiac Risk: Effects of Knowledge, Risk Perception, Risk Tolerance, and Fuzzy Processing. Journal of Experimental Psychology: Applied, 12, 179-195.[CrossRef
[32] Rothstein, H. G. (1986). The Effects of Time Pressure on Judgment in Multiple Cue Probability Learning. Organizational Behavior and Human Decision Processes, 37, 83-92.[CrossRef
[33] Sloman, S. A. (1996). The Empirical Case for Two Systems of Reasoning. Psychological Bulletin, 119, 3-22.[CrossRef
[34] Stanovich, K. E., & West, R. F. (2000). Individual Differences in Reasoning: Implications for the Rationality Debate. Behavioral & Brain Sciences, 23, 645-726.[CrossRef
[35] Stevenson, H. W., Lee, S. Y., Chen, C., Lummis, M., Stigler, J., Fan, L., & Ge, F. (1990). Mathematics Achievement of Children in China and the United States. Child Development, 61, 1053-1066.[CrossRef] [PubMed]
[36] Svenson, O., & Maule, A. J. (1993). Time Pressure and Stress in Human Judgment and Decision Making. New York, NY: Plenum Press.[CrossRef
[37] Wang, J., & Lin, E. (2009). A Meta-Analysis of Comparative Studies on Chinese and US Students’ Mathematics Performance: Implications for Mathematics Education Reform and Research. Educational Research Review, 4, 177-195.[CrossRef
[38] West, R. F., & Stanovich, K. E. (2003). Is Probability Matching Smart? Associations between Probabilistic Choices and Cognitive Ability. Memory & Cognition, 31, 243-251.[CrossRef