Research Research

行为研究

Research on Human Behavior

我的研究关注人在真实生活情境中如何经历压力、支持和幸福感。在青少年心理健康与教师职业倦怠相关项目中，我使用问卷、日记研究和统计建模方法识别行为模式、心理需求与群体差异。这些项目也延伸到我对用户研究的兴趣：深入理解人，才能设计更好的系统、服务和支持体验。

My research focuses on how people experience stress, support, motivation, and well-being in real-life contexts. Across adolescent mental health and teacher burnout projects, I use survey, diary, and statistical modeling methods to identify behavioral patterns, psychological needs, and group differences. These projects inform my broader interest in user research: understanding people deeply enough to design better systems, services, and support experiences.

Conceptual model for the daily hope, exam stress, and well-being study — 研究模型图 Conceptual model

Daily mean trends of key variables across 7 days — 考试周关键变量的日均趋势 Daily trends across exam week

Gender moderation of the effect of hope on positive affect — 性别调节：积极情绪 Gender moderation: positive affect

Gender moderation of the effect of hope on negative affect — 性别调节：消极情绪 Gender moderation: negative affect

Three-way interaction among hope, stress, and need satisfaction predicting positive affect — 希望 x 压力 x 需求满足：积极情绪 Hope x stress x need satisfaction: positive affect

Three-way interaction among hope, stress, and need satisfaction predicting negative affect — 希望 x 压力 x 需求满足：消极情绪 Hope x stress x need satisfaction: negative affect

In Progress

每日希望、考试压力与青少年幸福感 Daily Hope, Exam Stress, and Adolescent Well-Being

方法 Methods: 日记研究、多层模型、纵向分析 Daily diary study, multilevel modeling, longitudinal analysis
关键词 Keywords: 青少年幸福感、希望、考试压力、日记研究、需求满足 Adolescent well-being, hope, exam stress, daily diary, need satisfaction

这个项目使用 7 天日记研究设计，理解青少年在考试周如何经历压力、动机和情绪变化。研究追踪学生每日的希望感、考试压力、心理需求与情绪状态，识别压力在什么时候最具伤害性，以及哪些内部资源帮助学生保持韧性。这个项目体现了我对真实生活经验和重复测量数据的兴趣。

This project used a 7-day diary design to understand how adolescents experience stress, motivation, and emotional change during exam week. By tracking students' daily hope, exam stress, psychological needs, and affect, the study identified when stress becomes most harmful and what internal resources help students stay resilient. The project reflects my interest in studying people's lived experiences over time and turning repeated-measure data into actionable insights about support needs.

Hypothesized model linking parenting styles, social anxiety, Internet addiction, and psychological well-being — 假设路径模型 Hypothesized pathway model

In Progress

父母教养方式、社交焦虑、网络使用与青少年幸福感 Parenting, Social Anxiety, Internet Use, and Adolescent Well-Being

方法 Methods: 问卷研究、结构方程模型、中介分析 Survey research, structural equation modeling, mediation analysis
关键词 Keywords: 教养方式、心理幸福感、社交焦虑、网络成瘾、青少年 Parenting styles, psychological well-being, social anxiety, Internet addiction, adolescents

这项研究考察家庭环境如何通过社交焦虑和问题性网络使用影响青少年的心理幸福感。研究基于 981 名学生的问卷数据，区分积极和消极教养方式，并比较父亲与母亲模型。分析没有把幸福感视为单一结果，而是梳理社会情境、情绪经验与数字行为如何共同影响青少年适应。

This study examined how family environments relate to adolescents' psychological well-being through social anxiety and problematic Internet use. Using survey data from 981 students, the project separated positive and negative parenting patterns and compared paternal and maternal models. Rather than treating well-being as a single outcome, the analysis mapped the pathways through which social context, emotional experience, and digital behavior shape adolescent adjustment.

心理社会资源剖面 Psychosocial resource profiles

In Progress

女性幼儿教师的心理社会资源与职业倦怠 Psychosocial Resources and Burnout Among Female Preschool Teachers

方法 Methods: 潜在剖面分析、群体分层、结果比较 Latent profile analysis, segmentation, outcome comparison
关键词 Keywords: 教师倦怠、组织氛围、希望感、社会幸福感、潜在剖面分析 Teacher burnout, organizational climate, hope, social well-being, latent profile analysis

这个项目使用潜在剖面分析，根据工作场所氛围、社会幸福感和希望感对女性幼儿教师进行群体分层。研究识别出四类资源画像，并比较其职业倦怠模式，说明资源更多并不一定自动带来更低倦怠。它也对应我在用户研究中的兴趣：理解群体差异、行为模式，并避免用单一解释设计支持系统。

This project used latent profile analysis to segment female preschool teachers based on workplace climate, social well-being, and hope. The study identified four distinct resource profiles and compared their burnout patterns, showing that more resources do not automatically translate into lower burnout. For user research, this project demonstrates my interest in segmentation, group-level behavior patterns, and the importance of avoiding one-size-fits-all explanations when designing support systems.