Decision Biases

16 important questions on Decision Biases

What are the 2 types of framing?


• Positive vs. negative (attribute framing)
• Relative risks vs. absolute risks -> make a decision to present things in a proportional change (e.g. this will increase your risk by 1/3; this will double your chances of a stroke) or absolute (e.g. this will increase your risk by 1 in 10, 000)

-> a lot of research has shown that people's preference can be strongly influenced by how risk change information is presented

What is loss aversion?

Loss aversion refers to the tendency for people to strongly prefer avoiding losses than acquiring gains

What does loss aversion mean in terms of framing effects?

A negative frame is given more weight than a positive frame
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What did Edwards et al's. (2001) study?

(Judith was involved in this study)

Researchers restricted their analysis/review to studies where the choices that people were being asked to make had a clear personal relevance to the participant i.e. they could potentially be faced with that choice in real life

Results = Sig. framing effect in only one of four studies conducted on personally relevant health choices. This significant effect was found in McNeil et al. (1982)

--> overall the study shows that it is not easy to replicate this framing effect

What did Moxey et al. (2003) study?


•Across 5 expts (including McNeil et al., 1982) Ps were sig more likely to choose surgery over less risky treatments in positive frame (RR=1.51,sig)
•Framing effects less obvious for immunisation (RR=1.06, ns) and medication treatment decision (RR=1.70, ns) scenarios
•Effects less convincing in studies of good methodological quality (as they control for more variables) and/or examining actual decisions

What is the summary of positive vs. negative framing?


•Risky options (like surgery) less attractive than safer alternatives (like radiation) when failure rates highlighted
•No definitive evidence that protective treatments (like vaccines/ screening tests) rated more attractive when success rates highlighted (small/ heterogeneous effect sizes)
•Hypothetical lab studies may lack ecological validity and over-estimate the effect size (very few studies have tested framing effects for decisions with real consequences)
  • Real world studies = effect sizes much smaller; harder to do/ get research done; smaller samples producer smaller effects -> this means it’s harder to conclude that there is no effect 

Regarding relative vs absolute framing formats, which format do people generally perceive more favourably?

People generally evaluate treatments much more favourably in the relative risk format than if presented with information in the absolute format

= fairly robust finding

What are 2 possible issues with relative risk framing?

1. Ps may not understand the relationship between relative and absolute risk
(Malenka et al., 1993) 
= Ps may be mislead by the info because of their statistical innumeracy 

2. Relative risk framing can lead to sub-optimal decision making (Baron et al., 1988, Covey, 2011)

What did Covey (2007) study?

Review - meta-analysis of 28 expts
= strong evidence that current research shows that participants favour treatments where benefits described in relative terms

--> This type of effect/bias was also found in doctors and health professionals as well - not limited to the general population (shows that even those who are in the medical field are susceptible to this effect)

What did Baron et al. (1998) study?

A significant amount of doctors opposed treatment that increased one risk of cancer and decreased another equally
--> perhaps omission bias plays a role here
--> also may be a proportionality bias 50% is higher than 25%   

What is the summary regarding relative risks vs. absolute risks?


• Risk changes have more impact (tend to give treatments more favourable evaluations) if presented in relative rather than absolute terms
• Proportion dominance can lead people to make inferior choices about their health care

What did Gurm and Litaker (2000) study?

Positive vs. negative framing effects

Method: Presented patients with one of two videos describing angioplasty and its associated risks

Results: patients were more likely to opt for treatments when the video framed the procedure as 99% safe, compared with there being a likelihood of complication of 1 in 100

(own reading)

What did Armstrong et al. (2002) find?

Positive framing has shown not only to affect people's treatment  preferences but has also been shown to improve their understanding of the information presented
Method: presented risk information using survival or mortality terms 

Results: people who received survival terms were significantly more accurate in answering questions about the information, as well as being significantly more likely to opt for the treatment in question, than people who received mortality terms

(own reading)

What did Peters et al. (2010) find? What is a limitation with this study?

Peters et al. (2010) found that participants given the positive frame perceived the medication as less risky than those given the negative frame.

However, the generalizability of the findings is limited due to the use of non-patients presented with a hypothetical scenario in which they were told to imagine they had a headache. Given the design, it is unclear whether observed differences would translate into clinically significant differences in patient behaviours.   

What did O'Connor et al. (1996) find?

Framing effects did not influence patients' real life decisions of whether to get the influenza vaccine

What did Zipkin (2014) highlight?

Highlighted that information presented in relative risk format can bias people’s decision-making. The researcher argued that misunderstanding numeric data and statistical concepts of relative risk and probability, both by the healthcare professional and the patient, can mislead health decisions.

In contrast, Zipkin (2014) found that people more accurately perceived risk differences when presented with absolute compared to relative risks. This suggests that health care risks should be presented in absolute format to lessen the framing effect bias and make better health decisions.

The question on the page originate from the summary of the following study material:

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