Imagining nice and nasty events in childhood or adulthood: Recent positive events show the most imagination inflation

2008 ◽  
Vol 129 (2) ◽  
pp. 228-233 ◽  
Author(s):  
Stefanie J. Sharman ◽  
Amanda J. Barnier
2016 ◽  
Vol 37 (4) ◽  
pp. 250-259 ◽  
Author(s):  
Cara A. Palmer ◽  
Meagan A. Ramsey ◽  
Jennifer N. Morey ◽  
Amy L. Gentzler

Abstract. Research suggests that sharing positive events with others is beneficial for well-being, yet little is known about how positive events are shared with others and who is most likely to share their positive events. The current study expanded on previous research by investigating how positive events are shared and individual differences in how people share these events. Participants (N = 251) reported on their likelihood to share positive events in three ways: capitalizing (sharing with close others), bragging (sharing with someone who may become jealous or upset), and mass-sharing (sharing with many people at once using communication technology) across a range of positive scenarios. Using cluster analysis, five meaningful profiles of sharing patterns emerged. These profiles were associated with gender, Big Five personality traits, narcissism, and empathy. Individuals who tended to brag when they shared their positive events were more likely to be men, reported less agreeableness, less conscientiousness, and less empathy, whereas those who tended to brag and mass-share reported the highest levels of narcissism. These results have important theoretical and practical implications for the growing body of research on sharing positive events.


Author(s):  
Stefanie J. Sharman ◽  
Samantha Calacouris

People are motivated to remember past autobiographical experiences related to their current goals; we investigated whether people are also motivated to remember false past experiences related to those goals. In Session 1, we measured subjects’ implicit and explicit achievement and affiliation motives. Subjects then rated their confidence about, and memory for, childhood events containing achievement and affiliation themes. Two weeks later in Session 2, subjects received a “computer-generated profile” based on their Session 1 ratings. This profile suggested that one false achievement event and one false affiliation event had happened in childhood. After imagining and describing the suggested false events, subjects made confidence and memory ratings a second time. For achievement events, subjects’ explicit motives predicted their false beliefs and memories. The results are explained using source monitoring and a motivational model of autobiographical memory.


2019 ◽  
Vol 6 (1) ◽  
pp. 90-98 ◽  
Author(s):  
Dustin P. Calvillo ◽  
Angelina N. Vasquez ◽  
Amanda Pesavento

2006 ◽  
Author(s):  
Heather Setrakian ◽  
Gian Gonzaga ◽  
Lynette Lau ◽  
Gazi Begum ◽  
Thomas Bradbury

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Ulrike Baum ◽  
Sangita Kulathinal ◽  
Kari Auranen

Abstract Background Non-sensitive and non-specific observation of outcomes in time-to-event data affects event counts as well as the risk sets, thus, biasing the estimation of hazard ratios. We investigate how imperfect observation of incident events affects the estimation of vaccine effectiveness based on hazard ratios. Methods Imperfect time-to-event data contain two classes of events: a portion of the true events of interest; and false-positive events mistakenly recorded as events of interest. We develop an estimation method utilising a weighted partial likelihood and probabilistic deletion of false-positive events and assuming the sensitivity and the false-positive rate are known. The performance of the method is evaluated using simulated and Finnish register data. Results The novel method enables unbiased semiparametric estimation of hazard ratios from imperfect time-to-event data. False-positive rates that are small can be approximated to be zero without inducing bias. The method is robust to misspecification of the sensitivity as long as the ratio of the sensitivity in the vaccinated and the unvaccinated is specified correctly and the cumulative risk of the true event is small. Conclusions The weighted partial likelihood can be used to adjust for outcome measurement errors in the estimation of hazard ratios and effectiveness but requires specifying the sensitivity and the false-positive rate. In absence of exact information about these parameters, the method works as a tool for assessing the potential magnitude of bias given a range of likely parameter values.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 309-309
Author(s):  
Julie Kircher ◽  
Susan Charles ◽  
Nancy Sin ◽  
David Almeida

Abstract Chronic pain is a common condition in later life that is related to high levels of anxiety and depression. One reason why chronic pain is related to affective distress is that this condition may prevent people from deriving the same positive emotions from enjoyable activities. Few studies, however, have examined how exposure and reactivity to daily events differ by chronic pain status. We hypothesized that those with chronic pain will have less exposure and less positive affect reactivity to positive daily events compared to those without chronic pain. Participants from the diary substudy of MIDUS (N = 1,733; nChronicPain = 658, nNoPain = 1,075; M = 56 years-old) completed eight interview days. Chronic pain status was unrelated to the frequency of positive events. Multi-level models revealed that although people with chronic pain had lower levels of daily positive affect, they reacted more positively to daily events (γ = -.033, SE = .010, p < .0001). As a result, levels of daily positive affect on days when people experienced a positive event did not vary by pain status (MChronicPain = 2.73, MNoPain = 2.75). People with chronic pain averaged higher levels of daily negative affect compared to people without chronic pain (MChronicPain = .21, M NoPain =.20), but, on days when they experience a positive event, those with chronic pain had a greater decrease in their negative affect. Findings suggest that positive events impact those with chronic pain more than they do individuals without chronic pain.


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