为中国大学生开发和验证体现认知尺度的开发和验证
Ziyu Zheng1, Yu Wang1, Jian Zhao2
1Music and Dance Academy of Heze University, Heze, China.
Frontiers in psychology
|November 26, 2025
概括
这项研究为中国大学生开发了嵌入式认知量表 (ECS),为测量嵌入式认知提供了一个文化适应的工具. 经过验证的规模整合了体现式学习和心理健康的心理和文化维度.
科学领域:
- 认知心理学 认知心理学
- 跨文化心理学 跨文化心理学
- 教育心理学教育心理学
背景情况:
- 具体认知理论认为认知与身体体验有关.
- 现有的措施缺乏文化适应性,特别是对于非西方人口.
- 需要文化相关的工具来研究在不同教育背景下体现的认知.
研究的目的:
- 为中国大学生开发和验证嵌入式认知量表 (ECS).
- 将心理和文化层面的身体和精神的统一整合到一个测量工具中.
- 在中国背景下,为评估体内认知提供一个心理测量强大的仪器.
主要方法:
- 一种混合方法的方法,涉及定性勘探和定量验证.
- 使用了探索性因素分析 (EFA) 和确认性因素分析 (CFA).
- 918名中国大学生的大样本参加了国家验证.
主要成果:
- EFA确定了五个因素结构:身体感知,社会体现,体现模仿,情感体现和认知重建.
- 该ECS表现出强大的心理测量特性,包括高可靠性 (克朗巴赫的α = 0.954) 和良好的模型匹配 (CFI = 0.928,RMSEA = 0.062).
- 该尺度表现出强大的外部有效性 (r = 0.81,p < 0.001) 和出色的测试复试可靠性 (r = 0.94).
结论:
- 嵌入式认知量表 (ECS) 是一种基于文化和心理测量的工具,用于评估中国高等教育中的嵌入式认知.
- 该ECS整合了家的身体与精神的统一概念,与国家教育目标保持一致.
- 这个尺度为中国大学的体现式学习和心理健康促进提供了一个框架.
相关概念视频
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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
01:19Testing a Claim about Standard Deviation
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
01:15Data Validation
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Key parameters for method validation include:
Key parameters for method validation include:
01:17Strategies of Self-Presentation II: Self-Verification
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