Rating Bias and Preference Acquisition

2013 ◽  
Vol 3 (3) ◽  
pp. 1-21 ◽  
Author(s):  
Jill Freyne ◽  
Shlomo Berkovsky ◽  
Gregory Smith
Keyword(s):  
Rating Bias

Rating bias and differential prediction

2008 ◽  
Author(s):  
Neil Hauenstein ◽  
Emilee Tison
Keyword(s):  
Differential Prediction ◽  
Rating Bias

scholarly journals Sovereign Debt and Credit Rating Bias

2016 ◽  
Author(s):  
David F. Tennant ◽  
Marlon R. Tracey
Keyword(s):  
Sovereign Debt ◽  
Credit Rating ◽  
Rating Bias

Task Involvement and Satisficing with Motivational Scales

1995 ◽  
Vol 77 (1) ◽  
pp. 211-223
Author(s):  
Frank W. Wicker ◽  
Yehsoon Park ◽  
Erin McCann ◽  
Douglas Hamman
Keyword(s):  
Individual Differences ◽  
Personality Characteristics ◽  
Rating Task ◽  
Previous Evidence ◽  
Task Involvement ◽  
Strong Potential ◽  
Potential Source ◽  
Source Of Error ◽  
Related Personality ◽  
Rating Bias

Three measures related to motivation to perform a rating task accurately were obtained from 49 students, who also performed goal-attribute ratings. Less motivated students surpassed more motivated ones on several indices of rating bias. Previous evidence for differential relationships among goal attributes was clearly replicated only with the ratings of more motivated subjects. These findings suggest that many respondents may strive for “satisfactory” rather than optimal goal ratings (“satisficing”), that this tendency is a strong potential source of error with such data, but that individual differences related to satisficing may be used to examine such effects and partially bracket them out. It is suggested that measures of subjects' motivation or other related personality characteristics be routinely gathered when multiple ratings from subjects are required.

Aspect Mining with Rating Bias

2016 ◽  
pp. 458-474 ◽  
Author(s):  
Yitong Li ◽  
Chuan Shi ◽  
Huidong Zhao ◽  
Fuzhen Zhuang ◽  
Bin Wu
Keyword(s):  
Aspect Mining ◽  
Rating Bias

A Rating Bias Formulation based on Fuzzy Set for Recommendation

2020 ◽  
Author(s):  
Mingming Li ◽  
Fuqing Zhu ◽  
Jiao Dai ◽  
Liangjun Zang ◽  
Yipeng Su ◽  
...  
Keyword(s):  
Fuzzy Set ◽  
Rating Bias

scholarly journals Caregiver rating bias in mild cognitive impairment and mild Alzheimer's disease: impact of caregiver burden and depression on dyadic rating discrepancy across domains

2013 ◽  
Vol 25 (8) ◽  
pp. 1345-1355 ◽  
Author(s):  
Livia Pfeifer ◽  
Reinhard Drobetz ◽  
Sonja Fankhauser ◽  
Moyra E. Mortby ◽  
Andreas Maercker ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Caregiver Burden ◽  
Depression Scale ◽  
Caregiver Rating ◽  
Rating Bias

ABSTRACTBackground: Caregivers of individuals with dementia are biased in their rating of mental health measures of the care receiver. This study examines caregiver burden and depression as predictors of this bias for mild cognitive impairment and mild Alzheimer's disease in different domains.Methods: The sample consisted of 202 persons: 60 with mild cognitive impairment, 41 with mild Alzheimer's disease, and 101 caregivers. Discrepancy scores were calculated by subtracting the mean caregiver score from the respective mean patient score on the following assessment instruments: the Geriatric Depression Scale, Apathy Evaluation Scale, Bayer-Activities of Daily Living Scale, and Quality of Life-AD scale. Caregiver burden and depression were assessed by the Zarit Burden Interview and the Center for Epidemiologic Studies Depression Scale.Results: Intraclass correlation coefficients were low for apathy (0.38), daily functioning (0.38), and quality of life (0.30) and moderate for depression (0.49). These domains showed negative rating discrepancies, which indicates caregiver rating bias for all four domains. Regression analyses revealed that caregiver burden significantly contributed to explaining these discrepancies in the domains apathy, daily functioning, and quality of life.Conclusion: Caregiver rating bias can be attributed to caregiver burden. When caregiver burden is present, data based on caregiver ratings should therefore be interpreted with caution.

Sign in / Sign up

Export Citation Format

Share Document