Framing Effects and Audit Decision Making: Control Environment Evaluation

1993 ◽  
Author(s):  
Sandra L. Schneider ◽  
Gary L. Holstrum ◽  
Ronald E. Marden
Keyword(s):  
Decision Making ◽  
Framing Effects ◽  
Control Environment

Framing Effects in Ambiguous Risk Decision Making

2011 ◽  
Author(s):  
Paul Whitney ◽  
John M. Hinson ◽  
Peter J. Rosen
Keyword(s):  
Decision Making ◽  
Framing Effects ◽  
Risk Decision

scholarly journals An information processing view of framing effects: The role of causal schemas in decision making

1996 ◽  
Vol 24 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Jerwen Jou ◽  
James Shanteau ◽  
Richard Jackson Harris
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Framing Effects

scholarly journals Graph-Framing Effects in Decision Making

2011 ◽  
Vol 25 (5) ◽  
pp. 491-501 ◽  
Author(s):  
Yan Sun ◽  
Shu Li ◽  
Nicolao Bonini ◽  
Yin Su
Keyword(s):  
Decision Making ◽  
Framing Effects

Framing Effects in Group Investment Decision Making: Role of Group Polarization

2008 ◽  
Vol 102 (1) ◽  
pp. 283-292 ◽  
Author(s):  
Pi-Yueh Cheng ◽  
Wen-Bin Chiou
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Investment Decision ◽  
Framing Effects ◽  
Risk Averse ◽  
Group Decisions ◽  
Group Polarization ◽  
Relative Preference ◽  
Individual Decisions

Prospect theory proposes that framing effects result in a preference for risk-averse choices in gain situations and risk-seeking choices in loss situations. However, in group polarization situations, groups show a pronounced tendency to shift toward more extreme positions than those they initially held. Whether framing effects in group decision making are more prominent as a result of the group-polarization effect was examined. Purposive sampling of 120 college students (57 men, 63 women; M age = 20.1 yr., SD = 0.9) allowed assessment of relative preference between cautious and risky choices in individual and group decisions. Findings indicated that both group polarization and framing effects occur in investment decisions. More importantly, group decisions in a gain situation appear to be more cautious, i.e., risk averse, than individual decisions, whereas group decisions in the loss situation appear to be more risky than individual decisions. Thus, group decision making may expand framing effects when it comes to investment choices through group polarization.

Risky Decision Making Across Three Arenas of Choice: Are Younger and Older Adults Differently Susceptible to Framing Effects?

2005 ◽  
Vol 132 (1) ◽  
pp. 81-93 ◽  
Author(s):  
Michael RÖnnlund ◽  
Erik Karlsson ◽  
Erica Laggnäs ◽  
Lisa Larsson ◽  
Therese Lindström
Keyword(s):  
Older Adults ◽  
Decision Making ◽  
Framing Effects ◽  
Risky Decision Making ◽  
Risky Decision

scholarly journals No group differences in Traditional Economics Measures of loss aversion and framing effects in bipolar I disorder

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0258360
Author(s):  
Zachary Anderson ◽  
Kim Fairley ◽  
Cynthia M. Villanueva ◽  
R. McKell Carter ◽  
June Gruber
Keyword(s):  
Decision Making ◽  
Behavioral Economics ◽  
Loss Aversion ◽  
Framing Effects ◽  
Group Differences ◽  
Future Research ◽  
Bipolar I Disorder ◽  
Decision Making Processes ◽  
Gains And Losses ◽  
Survey Approach

Bipolar disorder (BD) is associated with impaired decision making, yet few studies have adopted paradigms from behavioral economics to decompose which, if any, aspects of decision making may be impacted. This may be particularly relevant for decision-making processes relevant to known difficulties with emotive dysfunction and corresponding reward dysregulation in BD. Participants with bipolar I disorder (BD; n = 44) and non-psychiatric healthy controls (CTL; n = 28) completed three well-validated behavioral economics decision making tasks via a remote-based survey, including loss aversion and framing effects, that examined sensitivity to probabilities and potential gains and losses in monetary and non-monetary domains. Consistent with past work, we found evidence of moderate loss aversion and framing effects across all participants. No group differences were found in any of the measures of loss aversion or framing effects. We report no group differences between bipolar and non-psychiatric groups with respect to loss aversion and framing effects using a remote-based survey approach. These results provide a framework future studies to explore similar tasks in clinical populations and suggest the context and degree to which decision making is altered in BD may be rooted in a more complex cognitive mechanism that warrants future research.

scholarly journals Decision making and framing effects in multiple sclerosis

2020 ◽  
Author(s):  
Laura Zamarian ◽  
Thomas Berger ◽  
Marie‐Theres Pertl ◽  
Gabriel Bsteh ◽  
Atbin Djamshidian ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Decision Making ◽  
Framing Effects

Strive to Win or Not to Lose? Age-Related Differences in Framing Effects on Effort-Based Decision-Making

2019 ◽  
Vol 75 (10) ◽  
pp. 2095-2105 ◽  
Author(s):  
Kaileigh A Byrne ◽  
Reza Ghaiumy Anaraky
Keyword(s):  
Older Adults ◽  
Decision Making ◽  
Framing Effects ◽  
Loss Prevention ◽  
Younger Adults ◽  
Age Related ◽  
Trial Basis ◽  
High Effort

Abstract Objectives This study sought to assess how framing effects modulate age-related differences in effort-based decision-making. Consistent with the selection, optimization, and compensation (SOC) model’s loss prevention account of aging, we predicted that older adults would be more willing to select high-effort options in loss contexts than gain contexts. Method Older and younger adults completed the effort expenditure for rewards task (EEfRT) in either a gain or loss context. The EEfRT is an effort-based decision-making paradigm in which participants choose between a low-effort, “easy” option and a high-effort, “hard” option for several trials. The probability and value of an outcome varies on a trial-by-trial basis. Results The results supported our prediction and the SOC model. Older adults chose more high-effort, difficult options in loss frames than gain frames. Older adults also chose more low-effort, easy options than younger adults in gain contexts, but did not differ from younger adults in loss contexts. Discussion These findings demonstrate that framing effects impact older adults’ effort-based decisions. Older adults appear willing to incur a greater “cost” in the form of effort to prevent a loss than to attain a reward.

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