Situational Attribution Training: Translating Attribution Theory Into Bias Reduction Practices

2013 ◽  
Author(s):  
Tracie L. Stewart ◽  
Seamus P. Walsh ◽  
Ioana M. Latu
2020 ◽  
Author(s):  
Alice Dunning ◽  
Madeleine Pownall

Pre-Peer Review Version 1: In the current COVID-19 pandemic, there have been official health recommendations of social distancing, thorough handwashing, and self-isolation to prevent the spread of the virus. However, compliance with these recommendations has been mixed. We suggest that non-compliance may be justified by one’s (mis)perception of their own COVID-19 risk. In this paper, we explore the dispositional and situational attribution of self-reported COVID-19 risk, as per Heider’s Attribution Theory. We conducted a content and framework analysis of responses to an online survey, in which participants (N = 114) were asked to rate their likelihood of contracting the COVID-19 virus, before providing textual responses to explain their rating. Overall, we observed that generally, participants who rated their risk to be low made more dispositional attributions (i.e. attributing their risk to factors such as age and own personal hygiene) whereas higher risk participants made more situational attributions (i.e. attributing COVID-19 risk to government decision-making and other people’s cleanliness). A finalised framework of five response typologies including intrinsic, behavioural, balanced, contextual, and disengaged responses was systematically applied to the data. These results will be discussed in the context of attribution theory and risk perception, whilst providing future recommendations for research that tackles non-compliance of COVID-19 behaviours.


2010 ◽  
Vol 46 (1) ◽  
pp. 221-225 ◽  
Author(s):  
Tracie L. Stewart ◽  
Ioana M. Latu ◽  
Kerry Kawakami ◽  
Ashley C. Myers

1979 ◽  
Vol 37 (9) ◽  
pp. 1441-1446 ◽  
Author(s):  
John H. Harvey ◽  
Jalie A. Tucker
Keyword(s):  

1974 ◽  
Author(s):  
Arthur L. Beaman ◽  
Soren Svanum ◽  
Spencer Manlove ◽  
Charlotte Hampton
Keyword(s):  

2004 ◽  
Vol 94 (3_suppl) ◽  
pp. 1421-1434 ◽  
Author(s):  
John P. Wanous ◽  
Arnon E. Reichers ◽  
James T. Austin

The underlying attribution process for cynicism about organizational change is examined with six samples from four different organizations. The samples include hourly ( n = 777) and salaried employees ( n = 155) from a manufacturing plant, faculty ( n = 293) and staff ( n = 302) from a large university, managers from a utility company ( n = 97), and young managers ( n = 65) from various organizations who were attending an evening MBA program. This form of cynicism is defined as the combination of Pessimism (about future change efforts) and a Dispositional attribution (why past efforts to change failed). Three analyses support this definition. First, an exploratory factor analysis (from the largest sample) produced two factors, one composed of Pessimism and the Dispositional attribution items and the second of the Situational attribution items. Second, the average correlation (across several samples) between Pessimism and Dispositional attribution is much higher (.59) than the average correlation between Pessimism and Situational attribution (.17). Third, scores on two different trait-based measures of cynicism correlate highest with the Dispositional attribution component of cynicism. A practical implication is that organizational leaders may minimize cynicism by managing both employees' pessimism about organizational change and employees' attributions about it. Specific suggestions for how this might be done are offered.


2021 ◽  
pp. 088626052199794
Author(s):  
Clara N. Wijaya ◽  
Lynne D. Roberts ◽  
Robert T. Kane

Intimate partner violence (IPV) is a crime that is afflicted by a current or previous romantic relationship partner. One in four women has experienced IPV at least once in their lifetime, with physical and psychological consequences. IPV cases tend to go largely unnoticed and under-reported, with low rates of intervention by bystanders. This cross-sectional correlational study investigated whether a combination of attribution theory and the bystander effect could predict the willingness of strangers to intervene in IPV. There were two models tested. The first model examined attitudes towards the victim, while the second one examined attitudes towards the perpetrator. The relationship between perceived responsibility and willingness to intervene was hypothesized to be mediated by sympathy and anger, with the number of bystanders as a moderator to mediating pathways (sympathy towards victim and anger towards perpetrator). A convenience sample of 278 Australian residents aged 18-years and older was presented in a vignette depicting an IPV incident occurring in public. Participants completed measures about the vignette in an online questionnaire. Model testing was conducted using MPlus; confirmatory factor analysis indicated a good fit of the measurement models. After controlling potential covariates, moderated mediation models of victim and perpetrator were analyzed. Attribution theory was a significant predictor in willingness to intervene ( f² = .23, p < .001), but the bystander effect was not. Both attitudes towards victim and perpetrator accounted for unique variance in willingness to intervene in IPV, highlighting the importance of examining both. Findings indicate that psychoeducation campaigns aimed at reducing victim-blaming and promoting intervening behavior could be an effective means of preventing IPV.


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