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Full-Text Articles in Social and Behavioral Sciences
Development Of An Explainability Scale To Evaluate Explainable Artificial Intelligence (Xai) Methods, Stephen Mccarthy
Development Of An Explainability Scale To Evaluate Explainable Artificial Intelligence (Xai) Methods, Stephen Mccarthy
Dissertations
Explainable Artificial Intelligence (XAI) is an area of research that develops methods and techniques to make the results of artificial intelligence understood by humans. In recent years, there has been an increased demand for XAI methods to be developed due to model architectures getting more complicated and government regulations requiring transparency in machine learning models. With this increased demand has come an increased need for instruments to evaluate XAI methods. However, there are few, if none, valid and reliable instruments that take into account human opinion and cover all aspects of explainability. Therefore, this study developed an objective, human-centred questionnaire …
A Meta-Analysis Of Associations Between Weight Bias Internalization And Conceptually-Related Correlates: A Step Towards Improving Construct Validity, Kelly A. Romano, Kristin E. Heron, Cassidy M. Sandoval, Lindsay M. Howard, Rachel I. Macintyre
A Meta-Analysis Of Associations Between Weight Bias Internalization And Conceptually-Related Correlates: A Step Towards Improving Construct Validity, Kelly A. Romano, Kristin E. Heron, Cassidy M. Sandoval, Lindsay M. Howard, Rachel I. Macintyre
Psychology Faculty Publications
Weight bias internalization (WBI), a process of weight-based self-devaluation, has been associated with adverse mental and physical health. However, there are limitations with the existing conceptualization and operationalization of WBI that raise questions about the implications of this evidence-base. To address these limitations, the present study investigated the construct validity of WBI by conducting a meta-analysis of associations between WBI (as currently operationalized) and conceptually-related correlates. Studies identified through October 2021 that provided zero-order correlations for associations between WBI and conceptually-related constructs were examined. Meta-regression determined whether these associations differed across WBI measures and demographic (age, sex/gender, race, BMI) and …
Happiness Index Methodology, Laura Musikanski, Scott Cloutier, Erica Bejarano, Davi Briggs, Julia Colbert, Gracie Strasser, Steven Russell
Happiness Index Methodology, Laura Musikanski, Scott Cloutier, Erica Bejarano, Davi Briggs, Julia Colbert, Gracie Strasser, Steven Russell
Journal of Sustainable Social Change
The Happiness Index is a comprehensive survey instrument that assesses happiness, well-being, and aspects of sustainability and resilience. The Happiness Alliance developed the Happiness Index to provide a survey instrument to community organizers, researchers, and others seeking to use a subjective well-being index and data. It is the only instrument of its kind freely available worldwide and translated into over ten languages. This instrument can be used to measure satisfaction with life and the conditions of life. It can also be used to define income inequality, trust in government, sense of community and other aspects of well-being within specific demographics …