Journal articles: 'Choice'

1

Dosani, Sabina. "EDITOR'S CHOICE: Sinister choices." BMJ 335, no. 7611 (July 21, 2007): s23.1—s23. http://dx.doi.org/10.1136/bmj.335.7611.s23.

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Frith, Lucy. "The concise argument – choice, choices and the choice agenda." Journal of Medical Ethics 48, no. 1 (December 22, 2021): 1–2. http://dx.doi.org/10.1136/medethics-2021-108052.

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Fuller, Lisa, Clint Cummings, Karen Franck, and Christopher Sneed. "Easy Choices: Making the Healthy Choice the Easy Choice." Journal of Nutrition Education and Behavior 50, no. 7 (July 2018): S56—S57. http://dx.doi.org/10.1016/j.jneb.2018.04.085.

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van Hees, Martin, Akshath Jitendranath, and Roland Iwan Luttens. "Choice functions and hard choices." Journal of Mathematical Economics 95 (August 2021): 102479. http://dx.doi.org/10.1016/j.jmateco.2021.102479.

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DeBOER, PETER P. "God's Choicea Good Choice, but…" Journal of Research on Christian Education 1, no. 1 (September 1992): 95–102. http://dx.doi.org/10.1080/10656219209484760.

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Vega-Bayo, Ainhoa, and Petr Mariel. "A Discrete Choice Experiment Application to School Choice." Revista Hacienda Pública Española 230, no. 3 (September 2019): 41–62. http://dx.doi.org/10.7866/hpe-rpe.19.3.2.

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Schwartz, Herman M. "Public Choice Theory and Public Choices." Administration & Society 26, no. 1 (May 1994): 48–77. http://dx.doi.org/10.1177/009539979402600104.

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Besedeš, Tibor, Cary Deck, Sudipta Sarangi, and Mikhael Shor. "Reducing Choice Overload without Reducing Choices." Review of Economics and Statistics 97, no. 4 (October 2015): 793–802. http://dx.doi.org/10.1162/rest_a_00506.

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Ottenberg, Abigale L., Katlyn E. Cook, Rachel J. Topazian, Luke A. Mueller, Paul S. Mueller, and Keith M. Swetz. "Choices for Patients “Without a Choice”." Circulation: Cardiovascular Quality and Outcomes 7, no. 3 (May 2014): 368–73. http://dx.doi.org/10.1161/circoutcomes.113.000660.

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Skakun, E. N., T. O. Maguire, and D. A. Cook. "Strategy choices in multiple-choice items." Academic Medicine 69, no. 10 (October 1994): S7–9. http://dx.doi.org/10.1097/00001888-199410000-00025.

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Thai, Nguyen T., and Ulku Yuksel. "Choice overload in holiday destination choices." International Journal of Culture, Tourism and Hospitality Research 11, no. 1 (March 6, 2017): 53–66. http://dx.doi.org/10.1108/ijcthr-09-2015-0117.

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Purpose This research aims to investigates whether and why choice overload (CO) occurs when people select a vacation destination. Design/methodology/approach This is a two-group (large choice-set vs small choice-set) between-subject factorial design. Dependent variables representing CO-effects are post-choice satisfaction and regret. Choice confusion and choice uncertainty are mediators. Findings Relative to people choosing from a small destination portfolio, people who choose from a large portfolio are less satisfied and more regretful about their choice. Choosing from a large choice-set confuses people, which then makes them less certain about their choice, and subsequently, have less satisfaction and more regret about their decision. Practical implications A critical consideration is essential when providing a number of destination choices to tourists. A few destinations should be offered in a travel portfolio. If the number of destination offers must remain large, travel agents should cluster these offers based on a market segmentation analysis to ease the decision-making process for travellers. Originality/value The findings add to evidence of CO-effects to the current literature of travel destination choice, and contribute to CO literature by showing evidence of CO-effects in complex service contexts, especially in holiday destination choices. This study is the first to provide evidence of CO-effects at the early stages of the travel destination decision-making process; it uses hypothetical destinations to avoid potential confounds associated with real destinations; and it measures CO-effects via post-choice satisfaction and regret. In addition, while the only available study on CO in tourism (Park and Jang, 2013) does not explain why CO-effects occur, this research provides and explains the psychological underlying process of the CO phenomenon in destination choice-making.

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GN. "Choice, Really Choice." Teachers College Record: The Voice of Scholarship in Education 102, no. 1 (February 2000): 264–66. http://dx.doi.org/10.1177/016146810010200110.

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Huh, Young Eun, Joachim Vosgerau, and Carey K. Morewedge. "Social Defaults: Observed Choices Become Choice Defaults." Journal of Consumer Research 41, no. 3 (October 1, 2014): 746–60. http://dx.doi.org/10.1086/677315.

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Zsolnai, Laszlo. "Rational choice and the diversity of choices." Journal of Socio-Economics 27, no. 5 (January 1998): 613–22. http://dx.doi.org/10.1016/s1053-5357(99)80114-0.

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15

Fumagalli, Roberto. "How thin rational choice theory explains choices." Studies in History and Philosophy of Science Part A 83 (October 2020): 63–74. http://dx.doi.org/10.1016/j.shpsa.2020.03.003.

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Wareing, David, and Christopher Newell. "Responsible Choice: The choice between no choice." Disability & Society 17, no. 4 (June 2002): 419–34. http://dx.doi.org/10.1080/09687590220140359.

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Reis, Nuno Rosa. "Great by Choice." Revista Ibero-Americana de Estratégia 13, no. 03 (September 1, 2014): 141–42. http://dx.doi.org/10.5585/riae.v13i3.2155.

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Georgy TOLORAYA. "Choice or Deferred Choice?" Far Eastern Affairs 45, no. 004 (December 31, 2017): 39–45. http://dx.doi.org/10.21557/fea.50213815.

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Branikas, Ioannis, Harrison Hong, and Jiangmin Xu. "Location choice, portfolio choice." Journal of Financial Economics 138, no. 1 (October 2020): 74–94. http://dx.doi.org/10.1016/j.jfineco.2019.10.010.

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20

Bastian, Ann. "Which Choice? Whose Choice?" Clearing House: A Journal of Educational Strategies, Issues and Ideas 66, no. 2 (December 1992): 96–99. http://dx.doi.org/10.1080/00098655.1992.9955940.

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21

Ray, Jack L., Rodney A. Reynolds, and E. Carranza. "Understanding Choice Utterances." Quarterly Journal of Experimental Psychology Section A 41, no. 4 (November 1989): 829–48. http://dx.doi.org/10.1080/14640748908402395.

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When individuals offer choices, they intend them to be mandatory (requiring action) or permissive (not requiring action), and they intend them to be open (allowing the choice of both options) or closed (not allowing the choice of both options). In two studies subjects were presented with sets of syntactically equivalent disjunctive sentences with varying content designed to represent four patterns of permitted choice. The research indicates that individuals distinguish four distinct uses of “or” in deontic contexts, and that individuals more often judge choices as mandatory than permissive. The research also compared responses to questions about choice giver intent and receiver choice. The data indicate that when judging intent, individuals are inclined to understand some choices to be permissive. However, when judging what action they might take as choice receiver, subjects tend to regard action to be mandatory. It appears that although people have some facility in assessing a permission giver's intent, they often apply a more restrictive rule to themselves than is required by the choice giver.

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22

Abaluck, Jason, and Jonathan Gruber. "Evolving Choice Inconsistencies in Choice of Prescription Drug Insurance." American Economic Review 106, no. 8 (August 1, 2016): 2145–84. http://dx.doi.org/10.1257/aer.20130778.

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We study choice over prescription insurance plans by the elderly using government administrative data to evaluate how these choices evolve over time. We find large “foregone savings” from not choosing the lowest cost plan that has grown over time. We develop a structural framework to decompose the changes in “foregone welfare” from inconsistent choices into choice set changes and choice function changes from a fixed choice set. We find that foregone welfare increases over time due primarily to changes in plan characteristics such as premiums and out-of-pocket costs; we estimate little learning at either the individual or cohort level. (JEL G22, H51, I13, I18, J14)

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23

Reay, Diane, Jacqueline Davies, Miriam David, and Stephen J. Ball. "Choices of Degree or Degrees of Choice? Class, `Race' and the Higher Education Choice Process." Sociology 35, no. 4 (November 2001): 855–74. http://dx.doi.org/10.1177/0038038501035004004.

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Reay, Diane, Jacqueline Davies, Miriam David, and Stephen J. Ball. "Choices of Degree or Degrees of Choice? Class, ‘Race’ and the Higher Education Choice Process." Sociology 35, no. 04 (October 16, 2001): 855–74. http://dx.doi.org/10.1017/s0038038501008550.

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Mawhorter, Peter, Carmen Zegura, Alex Gray, Arnav Jhala, Michael Mateas, and Noah Wardrip-Fruin. "Choice Poetics by Example." Arts 7, no. 3 (September 6, 2018): 47. http://dx.doi.org/10.3390/arts7030047.

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Choice poetics is a formalist framework that seeks to concretely describe the impacts choices have on player experiences within narrative games. Developed in part to support algorithmic generation of narrative choices, the theory includes a detailed analytical framework for understanding the impressions choice structures make by analyzing the relationships among options, outcomes, and player goals. The theory also emphasizes the need to account for players’ various modes of engagement, which vary both during play and between players. In this work, we illustrate the non-computational application of choice poetics to the analysis of two different games to further develop the theory and make it more accessible to others. We focus first on using choice poetics to examine the central repeated choice in “Undertale,” and show how it can be used to contrast two different player types that will approach a choice differently. Finally, we give an example of fine-grained analysis using a choice from the game “Papers, Please,” which breaks down options and their outcomes to illustrate exactly how the choice pushes players towards complicity via the introduction of uncertainty. Through all of these examples, we hope to show the usefulness of choice poetics as a framework for understanding narrative choices, and to demonstrate concretely how one could productively apply it to choices “in the wild.”

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Yang, Liu (Cathy), Olivier Toubia, and Martijn G. de Jong. "Attention, Information Processing, and Choice in Incentive-Aligned Choice Experiments." Journal of Marketing Research 55, no. 6 (December 2018): 783–800. http://dx.doi.org/10.1177/0022243718817004.

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In incentive-aligned choice experiments, each decision is realized with some probability, Prob. In three eye-tracking experiments, we study the impact of varying Prob from 0 (as in purely hypothetical choices) to 1 (as in real-life choices) on attention, information processing, and choice. Consistent with the bounded rationality literature, we find that as Prob increases from 0 to 1, consumers process the choice-relevant information more carefully and more comprehensively. Consistent with the psychological distance literature, we find that as Prob increases from 0 to 1, consumers become less novelty seeking and more price sensitive. These findings underscore that even with incentive alignment, preference measurement choice experiments such as choice-based conjoint analyses only represent an approximation of real-life choices. Although it is not feasible to systematically use questions with high Prob in the field, we predict and find that placing a higher probability question (such as an external validity task) at the beginning rather than the end of a questionnaire has a carryover effect on attention and information processing throughout the questionnaire, and it influences preference estimates as well.

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Piedad, Xochitl de la, Douglas Field, and Howard Rachlin. "THE INFLUENCE OF PRIOR CHOICES ON CURRENT CHOICE." Journal of the Experimental Analysis of Behavior 85, no. 1 (January 2006): 3–21. http://dx.doi.org/10.1901/jeab.2006.132-04.

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28

Rose, John M., and Stephane Hess. "Dual-Response Choices in Pivoted Stated Choice Experiments." Transportation Research Record: Journal of the Transportation Research Board 2135, no. 1 (January 2009): 25–33. http://dx.doi.org/10.3141/2135-04.

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29

Raikhel, Natasha V., and Wilhelm Gruissem. "New Series of Editor's Choice Articles. Career Choices." Plant Physiology 126, no. 3 (July 1, 2001): 923. http://dx.doi.org/10.1104/pp.126.3.923.

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Beaupain, Therese. "Review Article: On Founding Choices and Strategic Choice." European Journal of Industrial Relations 4, no. 2 (July 1998): 227–44. http://dx.doi.org/10.1177/095968019842005.

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31

Wronkovich, Michael, James Robinson, and Caryl A. Hess. "School Choice Options: Why Do Students Make Choices?" NASSP Bulletin 82, no. 599 (September 1998): 93–104. http://dx.doi.org/10.1177/019263659808259913.

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32

Huybers, Twan. "Domestic tourism destination choices ? a choice modelling analysis." International Journal of Tourism Research 5, no. 6 (2003): 445–59. http://dx.doi.org/10.1002/jtr.450.

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Usher, Marius, Konstantinos Tsetsos, Moshe Glickman, and Nick Chater. "Selective Integration: An Attentional Theory of Choice Biases and Adaptive Choice." Current Directions in Psychological Science 28, no. 6 (September 13, 2019): 552–59. http://dx.doi.org/10.1177/0963721419862277.

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Human choice behavior shows a range of puzzling anomalies. Even simple binary choices are modified by accept/reject framing and by the presence of decoy options, and they can exhibit circular (i.e., intransitive) patterns of preferences. Each of these phenomena is incompatible with many standard models of choice but may provide crucial clues concerning the elementary mental processes underpinning our choices. One promising theoretical account proposes that choice-related information is selectively gathered through an attentionally limited window favoring goal-consistent information. We review research showing attentional-mediated choice biases and present a computationally explicit model—selective integration—that accounts for these biases.

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34

CHATTERJEE, Sidharta. "Choice That’s Rational." Journal of Research, Innovation and Technologies (JoRIT) 1, no. 1 (December 2022): 34. http://dx.doi.org/10.57017/jorit.v1.1(1).03.

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In this paper, it is about the axiomatic basis of rational choice theory - the theory that is behind making rational choice and decisions. To make rational choices, we would require thinking rationally and understanding the reason and logic behind what makes a choice rational, and how we need to choose rationally. Decisions are made under various circumstances, i.e., under risk, and often under compulsion. In social choice theory, decisions are made by different types of decision making entities, i.e., committees, groups, individuals and collective judgments by various types of organizations, etc. This paper highlights these issues and addresses the fundamental tenets of making rational choices by examining and following the previous workings of experts on this field. As such, it introduces a novel concept and the idea of Social Choice Rationality in choosing what’s rational.

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35

Mouratidou, Alexandra. "Choice awareness and manipulation blindness: A cognitive semiotic exploration of choice-making." Public Journal of Semiotics 9, no. 1 (February 25, 2020): 1–40. http://dx.doi.org/10.37693/pjos.2019.9.21388.

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Within cognitive science, “blindness” to choice is commonly treated as typical of human cognition, implying unreliable agents who essentially lack any awareness of their own choices (e.g. Johansson et al., 2005, 2008; Hall et al., 2010, 2013). Within cognitive semiotics, however, choice awareness is seen as a continuous phenomenon, which is susceptible to the influence of a variety of factors. Manipulation blindness is proposed as a more adequate term for what is known in the literature as “choice blindness”, referring to participants’ tendency to accept a choice as if it were their own. This suggests that “blindness” is strictly limited to the level of detection (of the switch of the preferred choice to a non-chosen one), and not to the level of choice. Using a cognitive-semiotic framework, I examine manipulation blindness as an “indicator” of choice awareness by employing the factors of memory, consequence, and affectivity, and introduce a two-level hierarchy of choice-making. 43 participants were assigned two tasks combining choices with a) two degrees of consequence (more/less) – based on task instructions, and b) two degrees of affectivity (high/low) – based on stimuli with different degrees of abstractness. Participants were first asked to state their preference for one of two alternatives (choice) . After that they were shown chosen as well as non-chosen pictures and asked to confirm whether the picture presented was the one of their choice (memory). Lastly, they were asked to justify their choice, although some of the trials had been manipulated (i.e. the chosen card was switched with the non-chosen one) (manipulation) . Half of the manipulations were detected, and 75% of these detections occurred for the choices participants remembered correctly. While the consequential impact of the choice did not seem to influence detection, affectivity did. Unlike other experiments that investigate “choice blindness”, the results indicate that manipulation blindness is subject to memory and affectivity, suggesting that we are aware of our choices and that we have, to various degrees, access to our intentional acts.

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36

Katz, Leo. "Rational Choice versus Lawful Choice." Journal of Institutional and Theoretical Economics 170, no. 1 (2014): 105. http://dx.doi.org/10.1628/093245614x13819084995207.

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Schweizer, Urs. "Rational Choice versus Lawful Choice." Journal of Institutional and Theoretical Economics 170, no. 1 (2014): 122. http://dx.doi.org/10.1628/093245614x13819084995270.

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38

Jennings, Jennifer L. "School Choice or Schools’ Choice?" Sociology of Education 83, no. 3 (July 2010): 227–47. http://dx.doi.org/10.1177/0038040710375688.

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Drawing on a year and a half of ethnographic research in three New York City small high schools, this study examines the role of the school in managing school choice and asks what social processes are associated with principals’ disparate approaches. Although district policy did not allow principals to select students based on their performance, two of the three schools in this study circumvented these rules to recruit and retain a population that would meet local accountability targets. This article brings together sensemaking and social network theories to offer a theoretical account of schools’ management of choice in an era of accountability. In doing so, the author demonstrates that principals’ sensemaking about the accountability and choice systems occurred within the interorganizational networks in which they were embedded and was strongly conditioned by their own professional biographies and worldviews. Principals’ networks offered access to resources that could be activated to make sense of the accountability and choice systems. How principals perceived accountability and choice policies influenced whether they activated their social networks for assistance in strategically managing the choice process, as well as how they made sense of advice available to them through these networks. Once activated, principals’ networks provided uneven access to instrumental and expressive resources. Taken together, these results suggest that schools respond to accountability and choice plans in varied ways that are not simply a function of their short-term incentives.

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Igor Ivanov. "A CHOICE WITHOUT A CHOICE." Current Digest of the Russian Press, The 72, no. 043 (October 25, 2020): 19–20. http://dx.doi.org/10.21557/dsp.63549237.

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40

Ostrom, Vincent. "Epistemic choice and public choice." Public Choice 77, no. 1 (September 1993): 163–76. http://dx.doi.org/10.1007/bf01049230.

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41

Davis, Fred D., and Paul R. Warshaw. "Choice Sets and Choice Intentions." Journal of Social Psychology 131, no. 6 (December 1991): 823–30. http://dx.doi.org/10.1080/00224545.1991.9924669.

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42

Morgan, Hazel. "Choice denied or choice discovered?" Nursing and Residential Care 4, no. 4 (April 2002): 178–81. http://dx.doi.org/10.12968/nrec.2002.4.4.10272.

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Abdulkadiroğlu, Atila, Yeon-Koo Che, and Yosuke Yasuda. "Expanding “Choice” in School Choice." American Economic Journal: Microeconomics 7, no. 1 (February 1, 2015): 1–42. http://dx.doi.org/10.1257/mic.20120027.

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Gale-Shapley's deferred acceptance (henceforth DA) mechanism has emerged as a prominent candidate for placing students to public schools. While DA has desirable fairness and incentive properties, it limits the applicants' abilities to communicate their preference intensities, which entails ex ante inefficiency when ties at school preferences are broken randomly. We propose a variant of deferred acceptance mechanism that allows students to influence how they are treated in ties. It inherits much of the desirable properties of DA but performs better in ex ante efficiency. (JEL D82, H75, I21, I28)

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44

Spital, A. "Donor's choice or Hobson's choice?" Archives of Internal Medicine 145, no. 7 (July 1, 1985): 1297–301. http://dx.doi.org/10.1001/archinte.145.7.1297.

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Spital, Aaron. "Donor's Choice or Hobson's Choice?" Archives of Internal Medicine 145, no. 7 (July 1, 1985): 1297. http://dx.doi.org/10.1001/archinte.1985.00360070179030.

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46

Huybers, Twan. "Destination Choice Modelling: What's in a Name?" Tourism Economics 11, no. 3 (September 2005): 329–50. http://dx.doi.org/10.5367/000000005774352999.

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Discrete choice modelling can be employed to analyse tourists' holiday destination choices. The data for a destination choice modelling analysis are often obtained from a survey in which prospective tourists indicate their choices in a series of hypothetical scenarios. In that context, an issue deserving investigation is the use of destination names in the stated choice task. Using the names of destinations to label the alternatives in a choice scenario would be expected to enhance the predictive validity of the choice model. On the other hand, the experimental design of the choice scenarios may yield destination descriptions that appear unrealistic to survey respondents. In this paper, the labelling issue is investigated using a choice modelling study of short-break destination choices by residents from Melbourne, Australia. The multinomial logit model is used to compare the results of labelled and unlabelled stated choice tasks. The comparative results are reported and discussed and implications for destination choice modelling applications are drawn.

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Coombs, Casey, Mateja R. Savoie-Roskos, and Heidi LeBlanc. "Thumbs Up for Healthy Choices: Making the Healthy Choice, the Easy Choice in Utah's Food Pantries." Journal of Nutrition Education and Behavior 50, no. 7 (July 2018): S168. http://dx.doi.org/10.1016/j.jneb.2018.04.217.

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Hammell, Karen Whalley. "Making Choices from the Choices we have: The Contextual-Embeddedness of Occupational Choice." Canadian Journal of Occupational Therapy 87, no. 5 (December 2020): 400–411. http://dx.doi.org/10.1177/0008417420965741.

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Background. “Choice” is central to occupational therapy’s theoretical tradition, which maintains that individuals can impact their well-being through wisely choosing their occupations. However, the assumption that opportunities to choose are universally available is negated by research evidence. Purpose. To review the ideology of “choice” in occupational therapy theory, and to encourage more critical approaches toward determinants of occupational opportunity and choice. Key Issues. Evidence indicates that within Canada, and throughout the world, opportunities to make occupational choices are inequitably distributed among people of different socioeconomic classes, castes, genders, races, abilities, sexualities, citizenship statuses, and experiences of colonialism. Implications. Because occupation is a determinant of health and well-being, social injustices that create inequitable occupational choices are unfair violations of occupational rights. The occupational therapy profession’s espoused aim of enhancing well-being through occupation demands theories that explicitly recognize the socially structured and inequitable shaping of choice, and consequent impact on people’s occupational rights.

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Kavka, Gregory S. "Is Individual Choice Less Problematic than Collective Choice?" Economics and Philosophy 7, no. 2 (October 1991): 143–65. http://dx.doi.org/10.1017/s0266267100001371.

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It is commonplace to suppose that the theory of individual rational choice is considerably less problematic than the theory of collective rational choice. In particular, it is often assumed by philosophers, economists, and other social scientists that an individual's choices among outcomes (or lotteries yielding specified probabilities of outcomes) accurately reflect that individual's underlying preferences or values. Further, it is now well known that if an individual's choices among outcomes (or lotteries thereof) satisfy certain plausible axioms of rationality or consistency, that individual's choice-behavior can be interpreted as maximizing expected utility on a utility scale that is unique up to a linear transformation (Ramsey, 1931; Savage, 1954; Von Neumann and Morgenstern, 1944). Hence, there is, in principle, an empirically respectable method of measuring individuals' values and a single unified schema for explaining their actions as value maximizing (insofar as they act rationally).

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Georgescu, Irina, and Jani Kinnunen. "Distances of Fuzzy Choice Functions." New Mathematics and Natural Computation 11, no. 03 (August 27, 2015): 249–65. http://dx.doi.org/10.1142/s1793005715500088.

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In this paper, we introduce four distances on the set of fuzzy choice functions defined on a finite choice space. They are studied along with four distances on the set of fuzzy relations. The two types of distance allow to investigate the way the changes in fuzzy preferences are reflected in the changes of fuzzy choice associated with them. Also the way the changes in fuzzy choices manifest themselves in changes in fuzzy preferences are studied. The coefficient of normality of a fuzzy choice function is defined as a measure of normality and its variation is evaluated with respect to the variation of fuzzy choices. Finally, the variation of some congruence indicators is evaluated as effect of the changes in fuzzy choices.

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Journal articles on the topic 'Choice'

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