University of North Carolina at Chapel Hill.
Am Psychol. 2013 Dec;68(9):814-22. doi: 10.1037/a0033584. Epub 2013 Jul 15.
This article presents my response to the article by Brown, Sokal, and Friedman (2013), which critically examined Losada's conceptual and mathematical work (as presented in Losada, 1999; Losada & Heaphy, 2004; and Fredrickson & Losada; 2005) and concluded that mathematical claims for a critical tipping point positivity ratio are unfounded. In the present article, I draw recent empirical evidence together to support the continued value of computing and seeking to elevate positivity ratios. I also underscore the necessity of modeling nonlinear effects of positivity ratios and, more generally, the value of systems science approaches within affective science and positive psychology. Even when scrubbed of Losada's now-questioned mathematical modeling, ample evidence continues to support the conclusion that, within bounds, higher positivity ratios are predictive of flourishing mental health and other beneficial outcomes.
这篇文章是对 Brown、Sokal 和 Friedman(2013)的文章的回应,该文批判性地审查了 Losada 的概念和数学工作(如 Losada(1999)、Losada 和 Heaphy(2004)以及 Fredrickson 和 Losada(2005)所呈现的),并得出结论认为,关于临界点正性比率的数学主张是没有根据的。在本文中,我汇集了最近的实证证据,以支持继续计算和寻求提高正性比率的价值。我还强调了对正性比率的非线性效应进行建模的必要性,更广泛地说,强调了系统科学方法在情感科学和积极心理学中的价值。即使从 Losada 现在受到质疑的数学模型中剔除,仍有大量证据继续支持这样的结论,即在一定范围内,较高的正性比率可预测更健康的心理健康和其他有益结果。