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Full-Text Articles in Quantitative Psychology
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 …
Development And Validation Of A State-Based Measure Of Emotion Dysregulation: The State Difficulties In Emotion Regulation Scale (S-Ders), Jason M. Lavender, Matthew T. Tull, David Dilillo, Terri Messman-Moore, Kim L. Gratz
Development And Validation Of A State-Based Measure Of Emotion Dysregulation: The State Difficulties In Emotion Regulation Scale (S-Ders), Jason M. Lavender, Matthew T. Tull, David Dilillo, Terri Messman-Moore, Kim L. Gratz
Department of Psychology: Faculty Publications
Existing measures of emotion dysregulation typically assess dispositional tendencies and are therefore not well suited for study designs that require repeated assessments over brief intervals. The aim of this study was to develop and validate a state-based multidimensional measure of emotion dysregulation. Psychometric properties of the State Difficulties in Emotion Regulation Scale (S-DERS) were examined in a large representative community sample of young adult women drawn from four sites (N = 484). Exploratory factor analysis suggested a four-factor solution, with results supporting the internal consistency, construct validity, and predictive validity of the total scale and the four subscales: Nonacceptance (i.e., …