...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Nonlinear dynamics, psychology and life sciences >Dynamical Systems Theory in Quantitative Psychology and Cognitive Science: A Fair Discrimination between Deterministic and Statistical Counterparts is Required
【24h】

Dynamical Systems Theory in Quantitative Psychology and Cognitive Science: A Fair Discrimination between Deterministic and Statistical Counterparts is Required

机译：定量心理学和认知科学中的动力系统理论：需要对确定性和统计对等进行公平区分

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This article addresses a set of observations framed in both deterministic as well as statistical formal guidelines. It operates within the framework of nonlinear dynamical systems theory (NDS). It is argued that statistical approaches can manifest themselves ambiguously, creating practical discrepancies in psychological and cognitive data analyses both quantitatively and qualitatively. This is sometimes termed in literature as "questionable research practices." This communication points to the demand for a deeper awareness of the data "initial conditions, allowing to focus on pertinent evolution constraints in such systems." It also considers whether the exponential (Malthus-type) or the algebraic (Pareto-type) statistical distribution ought to be effectively considered in practical interpretations. The role of repetitive specific behaviors by patients seeking treatment is examined within the NDS frame. The significance of these behaviors, involving a certain memory effect seems crucial in determining a patient's progression or regression. With this perspective, it is discussed how a sensitively applied hazardous or triggering factor can be helpful for well-controlled psychological strategic treatments; those attributable to obsessive-compulsive disorders or self-injurious behaviors are recalled in particular. There are both inherent criticality- and complexity-exploiting (reduced-variance based) relations between a therapist and a patient that can be intrinsically included in NDS theory.
机译：本文介绍了确定性和统计形式指南中的一组观察结果。它在非线性动力系统理论（NDS）的框架内运行。有人认为，统计方法可能会模棱两可，从而在心理和认知数据分析中在定量和定性方面造成实际差异。这在文学中有时被称为“可疑的研究实践”。这种交流指出了对数据“初始条件，使其能够专注于此类系统中相关的演化约束”的深刻认识的需求。它还考虑在实际解释中应有效考虑指数（马尔萨斯型）或代数（帕累托型）统计分布。在NDS框架内检查了寻求治疗的患者重复特定行为的作用。这些行为的重要性，包括一定的记忆效应，对于确定患者的病情进展或消退至关重要。从这个角度出发，讨论了敏感应用的危险或触发因素如何有助于良好控制的心理战略治疗；特别是那些归因于强迫症或自残行为的人。在治疗师和患者之间既有内在的临界性，又有开发复杂性（基于减少方差）的关系，这些关系可以固有地包含在NDS理论中。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号