《高级实验技术》课程旨在实验心理学的基础上，进一步介绍当代实验心理学中广泛采用的高级实验技术，包括各种电生理、脑成像技术以及眼动追踪技术。本课程将从仪器用途、使用原理、数据分析等方面向学生全面展现几种常见的实验仪器及其相应分析软件的使用方法。对于每一种仪器与软件，通过具体的实例介绍，让学生掌握每个仪器的使用特点与方法技巧，并结合相应的研究领域采用恰当的实验技术进行实证研究。
《多因素实验设计》是应用心理学专业高年级的前沿性选修课程，教学内容强调理论性与实践性相结合。课程采用课程讲授、文献阅读与研讨相结合的教学方法，使学生掌握多因素实验设计以及相应的方差分析过程。
《社会心理学》是应用心理学专业的一门专业必修课程。学习者通过本课程的学习理解和掌握人类社会行为的心理学规律；具备初步运用社会心理学的原理分析社会行为的能力，从而为进一步学习相关课程与将来从事职业工作打下心理学基础。
《心理学论文写作》是心理学专业学生的选修的专业课程。论文写作与资源检索，是学术训练培养的基本能力。心理学论文的写作，不仅是心理学专业培养中各种基本功的体现，也是对心理学专业学生的综合能力的考察，包括文献检索、实验设计、统计分析以及论文写作规范等能力。论文写作体现了一个学生对所学知识的融合与贯通。
This is the course website for PSYC 575 in the 2022 Fall semester. The course follows a flipped course model so that students will review assigned readings and prerecorded lecture videos at their own time, while the class meeting time will be dedicated to software demonstration, Q&A, and exercises. You will find the syllabus, lecture materials, and R codes in the navigation bar at the top.
This is a graduate-level class in statistical methods on multilevel modeling, a popular technique in behavioral and social science research. The course covers topics in multilevel modeling, including two- and three-level hierarchical linear models (HLM), random intercepts and slopes, longitudinal models and growth curve models, and some recent development in multilevel modeling.
This is a course website for PSYC 573 in the 2022 Spring semester. You will find the syllabus, lecture slides, and course notes in the navigation bar in the top right corner. Homework submission will be through Blackboard.
Bayesian statistics is a coherent framework of doing statistics. It has been one of the biggest ongoing revolutions in quantitative research methods and has been recommended as an alternative to the classical approach of hypothesis testing, as well as a computational device for some problems not easily handled in the classical approach. Students will learn about applications of Bayesian statistical methods specifically on behavioral and social science data and develop skills in conducting Bayesian analysis of real-life data.
This is a collection of my course handouts for PSYC 621 class. The materials are based on the book by McElreath (2016), the brms package (Bürkner 2017), and the STAN language. Please contact me for any errors (as I’m sure there are plenty of them).