Exploring patterns of ongoing thought under naturalistic and conventional task-based conditions

In the 'Exploring patterns of ongoing thought under naturalistic and conventional task-based conditions' paper we used 9 different tasks and measured ongoing thought using multidimensional experience sampling. A Principal Component Analysis of the experience sampling data revealed four patterns of ongoing thought. Linear Mixed Modelling was used to conduct a series of exploratory analyses aimed at examining contextual distributions of these thought patterns. A repeated measures analysis of variance (ANOVA) was run to examine how the contextual influences on each dimension of thought related to the measures of affective style. Our study characterises how the thoughts people think vary across multiple task conditions, providing new insight about the variation of ongoing thought patterns across contexts that include both conventional and naturalistic situations. Please refer to the readme document below for further details.

在题为《自然主义与常规任务导向条件下的持续性思维模式探索》的研究论文中，我们设置了9种不同的实验任务，并借助多维经验抽样法（multidimensional experience sampling）对持续性思维进行测量。针对经验抽样数据开展的主成分分析（Principal Component Analysis），共识别出4类持续性思维模式。我们通过线性混合模型（Linear Mixed Modelling）完成一系列探索性分析，以探究上述思维模式的情境分布特征。此外，本研究还借助重复测量方差分析（repeated measures analysis of variance, ANOVA），检验了思维各维度所受的情境影响与情感风格测量指标之间的关联。本研究阐明了人类的持续性思维如何随不同任务条件产生变化，为涵盖常规情境与自然主义场景在内的各类环境中，持续性思维模式的变异规律提供了全新的研究见解。如需获取更多细节，请参阅下文的自述文件（readme document）。