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Theory of Attribution I: Correspondent Inference Theory01:15

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Correspondent inference theory, proposed by Jones and Davis in 1965, seeks to explain how individuals infer stable personality traits from observed behaviors. It suggests that people attribute actions to underlying dispositions rather than external circumstances, particularly when the behavior appears intentional and socially significant.Voluntary Behavior and Dispositional AttributionAccording to this theory, individuals are more likely to attribute behavior to personal traits when it appears...
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Fundamental Attribution Error01:14

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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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Attribution Theory00:56

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Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
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Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
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Attribution01:26

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In social interactions, individuals frequently seek to understand the motivations and causes behind others' behaviors. This fundamental aspect of social perception, known as attribution, plays a crucial role in shaping interpersonal relationships and guiding future actions. Attribution refers to the cognitive process through which people infer the reasons behind others' behaviors, allowing them to assess character traits, intentions, and situational influences.Attribution Theory and Its...
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Personal Choice and Fate Attributions01:19

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Some individuals interpret life events as a consequence of their personal choices and actions, while others believe that outcomes are dictated by fate or destiny. This divergence in perspective has been examined in psychological and cross-cultural studies, particularly in relation to religious faith and cultural beliefs about causality.Fate and Personal ResponsibilityPeople who emphasize personal responsibility view events as direct consequences of their decisions. For instance, breaking a leg...
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A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
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在隐藏的马尔科夫诊断分类模型中的动态Q矩阵和属性轨迹的贝叶斯推理.

Chen-Wei Liu1

  • 1Department of Educational Psychology and Counseling, National Taiwan Normal University, Taipei, Taiwan.

The British journal of mathematical and statistical psychology
|January 21, 2026
PubMed
概括

本研究介绍了隐藏马尔科夫诊断分类模型的贝叶斯算法,使得随着时间的推移可以跟踪学生的学习. 新方法准确地估计了纵向教育评估的关键参数.

科学领域:

  • 教育测量和心理测量学
  • 认知科学 认知科学
  • 统计建模 统计建模

背景情况:

  • 传统的诊断分类模型 (DCM) 提供了对学生知识的洞察力,但往往缺乏纵向跟踪能力.
  • 了解认知属性的时间动态对于有效的,适应性的指导和评估至关重要.
  • 现有的方法可能无法充分捕捉学生掌握在多次评估场合的不断变化的性质.

研究的目的:

  • 为诊断分类模型 (DCM) 引入一个新的贝叶斯马尔科夫链蒙特卡洛 (MCMC) 算法.
  • 为了能够共同估计时间变化的参数,包括Q矩阵,潜伏属性,项目参数和过渡矩阵.
  • 为纵向诊断分类提供强大的计算工具.

主要方法:

  • 开发一个针对时间变化的DCM量身定制的贝叶斯式MCMC算法.
  • 在一个新的R包"hmdcm"中实现算法.
  • 通过蒙特卡洛模拟验证参数恢复和经验评估轨迹跟踪.

主要成果:

  • 蒙特卡洛模拟表明,在拟议的算法下,模型参数的准确恢复.
  • 该算法在经验概率概念评估中成功追踪了属性轨迹.
  • "hmdcm" R包为实施开发的方法提供了一个功能性工具.
关键词:
Q矩阵是Q矩阵.诊断分类模型的诊断分类模型隐藏的马尔科夫模型

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结论:

  • 提出的贝叶斯式MCMC算法为纵向诊断分类提供了一个强大的方法.
  • 精确的参数估计和属性轨迹追踪支持其在研究和教育实践中的实用性.
  • 这种方法提高了对随着时间推移认知属性的演变进行建模和理解的能力.