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Technology, that is, the output of human innovation, has always been central to human progress worldwide. Early on, the ancients developed the wheel, concrete, calculus, and paper, which led to advances in transportation, construction, and communication. Today, the incarnation of technology falls in the realm of the digital and computational, and its progress has been rapid, even arguably exponential. In his chapter, “The Law of Accelerating Returns,” Ray Kurzweil writes, “An analysis of the history of technology shows that technological change is exponential, contrary to the common-sense ‘intuitive linear’ view. So we won’t experience 100 years of progress in the 21st century – it will be more like 20,000 years of progress (at today’s rate)” (Kurzweil, 2004, p. 381).
There have been tremendous advancements in technology-based assessments in new modes of data collection and the use of artificial intelligence. Traditional assessment techniques in the fields of psychology, business, education, and health need to be reconsidered. Yet, while technology is pervasive, its spread is not consistent due to national differences in economics and culture. Given these trends, this book offers an integrative consolidation of how technology is changing the face of assessments across different regions of the world. There are three major book sections: in foundations, core issues of computational models, passively sensed data, and privacy concerns are discussed; in global perspectives, the book identifies ways technology has changed how we assess human attributes across the world, and finally, in regional focus, the book surveys how different regions around the world have adopted technology-based assessments for their unique cultural and societal context.
Even decades after the affective revolution (Ashkanasy & Dorris, 2017), affect remains an integral part of organizational psychology. The two primary perspectives in affective research center on affect as a dispositional construct (i.e. a trait) or a momentary construct (i.e. a state) (Brief & Weiss, 2002). Dispositional perspectives of affect refer to a general tendency to experience certain types and levels of affective state. This can reflect personality traits and affective dispositions (Watson & Clark, 1984; Watson & Tellegen, 2002). Momentary affect refers to emotions experienced in the moment, including both the valence of feelings (i.e. positive, negative) and discrete emotions (e.g. guilt, awe). Integrating person, situation, and emotional construal perspectives, this chapter seeks to incorporate decades of work on affective dispositions, momentary affect, and personality to present a conceptual model that specifies how these come together to produce in-the-moment emotions embedded in specific situations. In doing so, we provide theoretical specificity connecting these dispositional and momentary perspectives, answering the call for more multi-level and systems-based theories: for example, how does personality unfold to impact state-level emotions (Ilies, Schwind, & Heller, 2007)?
The purpose of this study was to determine the factors which influence advance directive (AD) completion among older adults.
Method:
Direct interviews of hospitalized and community-dwelling cognitively intact patients >65 years of age were conducted in three tertiary teaching settings in New York. Analysis of AD completion focused on its correlation with demographics, personal beliefs, knowledge, attitudes, and exposure to educational media initiatives. We identified five variables with loadings of at least 0.30 in absolute value, along with five demographic variables (significant in the univariate analyses) for multiple logistic regression. The backward elimination method was used to select the final set of jointly significant predictor variables.
Results:
Of the 200 subjects consenting to an interview, 125 subjects (63%) had completed ADs. In comparing groups with and without ADs, gender (p < 0.0002), age (p < 0.0161), race (p < 0.0001), education (p < 0.0039), and religion (p < 0.0104) were significantly associated with having an AD. Factors predicting AD completion are: thinking an AD will help in the relief of suffering at the end of life, (OR 76.3, p < 0.0001), being asked to complete ADs/ or receiving explanation about ADs (OR 55.2, p < 0.0001), having undergone major surgery (OR 6.3, p < 0.0017), female gender (OR 11.1, p < 0.0001) and increasing age (76–85 vs. 59–75: OR 3.4, p < 0.0543; <85 vs. 59–75: OR 6.3, p < 0.0263).
Significance of results:
This study suggests that among older adults, the probability of completing ADs is related to personal requests by health care providers, educational level, and exposure to advance care planning media campaigns.
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