在青少年大脑认知发展研究 (ABCD) 中,自我调节的测量
Merle Johanna Marek1, Axel Heep2,3, Andrea Hildebrandt1,3
1Psychological Methods and Statistics, Department of Psychology, School of Medicine and Health Science, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.
PloS one
|May 5, 2025
概括
我们使用青少年大脑和认知发展 (ABCD) 数据集建立了一个强大的自我调节心理模型. 该模型包括热,冷和执行功能,可以准确地预测随着时间的推移学术成就.
科学领域:
- 神经科学是一个神经科学.
- 发展心理学 发展心理学
- 心理测量 心理测量 心理测量
背景情况:
- 自律对于实现目标至关重要,理论上涉及"热" (自下而上) 和"冷" (自上而下) 过程之间的平衡.
- 建立可靠的心理测量模型对于推进自我调节及其神经支的研究至关重要.
研究的目的:
- 使用青少年大脑和认知发展 (ABCD) 数据集开发和验证自我调节的心理模型,这是目前最大的开放神经成像数据集.
- 测试基于双流程理论的理论衍生模型,考虑ABCD研究中可用的措施.
主要方法:
- 利用青少年大脑和认知发展 (ABCD) 数据集来测试来自双过程理论的三种自我调节的心理测量模型.
- 评估了一个测量模型,其中有三个相关的第一阶段因子:热,冷和执行功能.
- 评估模型对学术成绩的预测有效性及其在子样本中的稳定性.
主要成果:
- 使用三个相关因子 (热,冷,执行功能) 的测量模型显示出强大的因数和预测有效性.
- 这个模型成功地同时预测了学术成绩和两年后的学术成绩.
- 理论上可取的双因素模型无法通过可用的ABCD数据可靠地建立.
结论:
- 推的三因素模型 (热,冷,执行功能) 为研究ABCD数据集中的自我调节提供了有效和可靠的框架.
- 这种经过验证的模型适合未来的研究,研究自我调节的神经相关性.
- 未来的研究应该采用这种既定模型,以便在使用ABCD数据集的研究中保持一致性和可比性.
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