Psychological Statistics
本课程讲授心理学研究中常用的统计方法，包括描述统计与推断统计两大部分。内容涵盖集中趋势与离散程度、概率分布、假设检验、t检验、方差分析、相关与回归分析、卡方检验等。课程强调统计方法在心理学研究中的实际应用，培养学生正确选择统计方法、运用统计软件（如SPSS、R）分析数据和合理解释结果的能力。
This course covers statistical methods commonly used in psychological research, including both descriptive and inferential statistics. Topics include measures of central tendency and variability, probability distributions, hypothesis testing, t-tests, ANOVA, correlation and regression analysis, and chi-square tests. Emphasis is placed on practical applications in psychological research using statistical software such as SPSS and R.
学生使用课程提供的真实心理学数据集（如某认知实验或问卷调查数据），运用至少三种不同的统计方法进行分析。报告需包含研究问题、数据描述、统计方法选择理由、分析过程与结果、结论与讨论，并附上SPSS或R输出结果，字数约2500字。
Students analyze a real psychological dataset (from a cognitive experiment or survey) using at least three different statistical methods. The report includes research questions, data description, rationale for statistical methods, analysis process and results, conclusions and discussion, with SPSS or R output attached, approximately 2500 words.