Annette R Flugstad
Biographic Data
| ID | 5861449 |
|---|---|
| NAME | Annette R Flugstad |
| GIVEN NAMES | Annette R |
| FAMILY NAME | Flugstad |
| SIGNATURE | FLUGSTAD A R |
| AFFILIATIONS | University of Iowa |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 13 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2002 |
| LATEST PUBLICATION YEAR | 2003 |
| H-INDEX | 2 |
The influence of reasons on interpretations of probability forecasts
When providing a probability estimate for an event, experts often supply reasons that they expect will clarify and support that estimate. We investigated the possible unintended influence that these reasons might have on a listener's intuitive interpretation of the event's likelihood. Experiments 1 and 2 demonstrated that people who read positive reasons for a doctor's probability estimate regarding a hypothetical surgery were more optimistic tha…
Context and the interpretation of likelihood information
Four experiments investigated how people's perceptions about a group's (e.g., women's) vulnerability to a disease are influenced by information about the prevalence of the disease in a comparable group (e.g., men). Participants read symptom and prevalence infomation about fictitious diseases before answering questions regarding target group vulnerability. Participants used the prevalence rate for a nontarget group as an immediate comparison stand…
Context and the interpretation of likelihood information
Four experiments investigated how people's perceptions about a group's (e.g., women's) vulnerability to a disease are influenced by information about the prevalence of the disease in a comparable group (e.g., men). Participants read symptom and prevalence infomation about fictitious diseases before answering questions regarding target group vulnerability. Participants used the prevalence rate for a nontarget group as an immediate comparison stand…
The influence of reasons on interpretations of probability forecasts
When providing a probability estimate for an event, experts often supply reasons that they expect will clarify and support that estimate. We investigated the possible unintended influence that these reasons might have on a listener's intuitive interpretation of the event's likelihood. Experiments 1 and 2 demonstrated that people who read positive reasons for a doctor's probability estimate regarding a hypothetical surgery were more optimistic tha…
Context and the interpretation of likelihood information
Four experiments investigated how people's perceptions about a group's (e.g., women's) vulnerability to a disease are influenced by information about the prevalence of the disease in a comparable group (e.g., men). Participants read symptom and prevalence infomation about fictitious diseases before answering questions regarding target group vulnerability. Participants used the prevalence rate for a nontarget group as an immediate comparison stand…
The influence of reasons on interpretations of probability forecasts
When providing a probability estimate for an event, experts often supply reasons that they expect will clarify and support that estimate. We investigated the possible unintended influence that these reasons might have on a listener's intuitive interpretation of the event's likelihood. Experiments 1 and 2 demonstrated that people who read positive reasons for a doctor's probability estimate regarding a hypothetical surgery were more optimistic tha…
Computer Science (2 works) · Decision-Making and Behavioral Economics (2 works) · Interpretation (philosophy (2 works) · Psychology (2 works) · Actuarial science (1 work) · Argument (complex analysis (1 work) · Artificial Intelligence (1 work) · Behavioral Health and Interventions (1 work) · Certainty (1 work) · Clinical Psychology (1 work)