Zhenghao Lu

独立完成由一项大规模问卷和两项行为实验组成的多研究项目，考察主观社会地位如何影响行为。

Designed and independently executed a multi-study project combining a large-scale survey and two behavioral experiments to investigate how perceived social status influences behavior.

• 提出研究问题和假设，设计问卷与实验，协调参与者招募，并管理从数据收集到分析的全过程。 Developed research questions and hypotheses, designed survey and experimental approaches, coordinated participant recruitment, and managed research execution from data collection through analysis.
• 分析行为和问卷数据，识别关键心理机制，并通过回归、中介和调节分析检验替代解释。 Analyzed behavioral and survey data to identify key psychological mechanisms and tested alternative explanations through regression, mediation, and moderation analyses.
• 整合多项研究结果形成循证结论，说明主观地位和相对剥夺感如何影响行为结果。 Synthesized findings across studies into evidence-based conclusions, demonstrating how perceived status and relative deprivation shape behavioral outcomes.

分析七天纵向行为数据，理解压力、希望和心理需要的变化如何影响学生每日的情绪体验。

Analyzed seven-day longitudinal behavioral data to understand how changes in stress, hope, and psychological needs influenced students' daily emotional experiences.

• 使用 R 进行多层建模，区分个体内的行为变化和个体间差异，并识别后续结果的关键预测因素。 Applied multilevel modeling in R to distinguish within-person behavioral changes from between-person differences and identify key predictors of subsequent outcomes.
• 将复杂的纵向研究结果整合为清晰洞察，并参与可视化、报告和论文开发。 Synthesized complex longitudinal findings into clear research insights and contributed to visualization, reporting, and manuscript development.

参与大规模问卷研究，考察教养方式如何通过社交焦虑和网络使用行为影响心理幸福感。

Contributed to a large-scale survey study examining how parenting styles relate to psychological well-being through social anxiety and Internet-use behaviors.

• 参与问卷开发、数据质量控制，以及使用 SPSS 和 Mplus 进行定量分析。 Supported questionnaire development, data quality control, and quantitative analysis using SPSS and Mplus.
• 通过结构模型比较不同作用路径，识别与幸福感关系最密切的行为机制。 Used structural modeling to evaluate competing pathways and identify the behavioral mechanisms most strongly associated with well-being.
• 参与研究结果解读，以及研究报告和论文材料的撰写。 Contributed to interpretation of findings and development of research reports and manuscript materials.

使用潜在剖面分析识别幼儿园教师中不同的行为与心理特征群体。

Analyzed survey data to identify distinct behavioral and psychological profiles among kindergarten teachers using latent profile analysis in R.

• 比较不同分析模型，将统计模式转化为基于组织氛围、幸福感、希望和倦怠的可解释群体。 Compared alternative analytical models and translated statistical patterns into interpretable audience segments based on organizational climate, well-being, hope, and burnout.
• 开展群体比较并制作可视化，清晰呈现不同剖面之间的关键差异与实际意义。 Conducted segment comparisons and developed visualizations to communicate key differences and implications across profiles.