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所在平台: Udemy |
课程主页: https://www.udemy.com/course/stata-practical-application-and-interpretation/
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**课程名称：** STATA：实际应用与解读 **课程概述：** 本课程全面介绍STATA，一款在经济学、社会学、政治学和公共卫生等领域广泛使用的强大统计软件。课程重点关注STATA的实际应用，涵盖数据管理、统计分析及结果解读。学员将学习如何执行各种统计检验，创建有意义的可视化图表，并从数据中得出有效结论。通过动手练习和真实案例，学员将掌握有效地使用STATA来满足其研究和专业需求所需的技能。 **课程目标：** * 使学员对STATA的界面及其功能有透彻的理解。 * 教授学员如何导入、管理和处理STATA数据集。 * 使学员掌握使用STATA执行各种统计检验和分析的知识。 * 使学员能够有效地解读和沟通其统计分析结果。 * 培养学员在STATA中创建和自定义数据可视化图表的能力。 **课程内容：** 1. **STATA导论** * STATA概述 * 安装与设置 * 导航STATA界面 * 基本命令和语法 * STATA中的数据类型和结构 2. **STATA中的数据管理** * 从各种来源导入数据（Excel，CSV等） * 数据清理和准备 * 数据转换（排序，合并，重塑） * 处理缺失数据 3. **描述性统计** * 汇总统计（均值，中位数，众数等） * 频率分布和交叉表 * 离散度度量（方差，标准差等） * 数据可视化（直方图，条形图，饼图） 4. **推断性统计 I** * 假设检验 * t检验（单样本，独立样本，配对样本） * 卡方检验 * 方差分析 (ANOVA) 5. **推断性统计 II** * 相关分析 * 简单线性回归 * 多元回归分析 * 回归模型的假设和诊断 6. **高级统计检验** * 逻辑回归 * 因子分析 * 时间序列分析 * 面板数据分析 * 在STATA中估计模型 * 多重共线性检测 * 多重共线性解决方案 * 时间序列的平稳性 * 面板数据的平稳性 * 将非平稳序列转化为平稳序列 * R-平方 * 自相关 * 自相关去除 * Johansen协整检验 * Granger因果关系检验 * VAR模型 * VAR模型中的预测 * VECM模型 * 固定效应 * 随机效应 * Hausman检验 7. **报告和文档准备** * 在STATA中创建表格和报告 * 记录和注释您的工作 * 可复现研究的最佳实践 * 分享和协作STATA项目 8. **STATA专题** * 调查数据分析 * 处理复杂的调查设计 * 高级计量经济学技术 * 使用用户自定义命令定制STATA 9. **复习和期末项目** * 关键概念和技术复习 * 问答和故障排除 * 期末项目演示 * 课程总结和反馈 **教学大纲：** 无
Course DescriptionThis course provides a comprehensive introduction to STATA, a powerful statistical software widely used in various fields such as economics, sociology, political science, and public health. The course focuses on the practical application of STATA, covering data management, statistical analysis, and interpretation of results. Students will learn how to perform a range of statistical tests, create meaningful visualizations, and draw valid conclusions from their data. Through hands-on exercises and real-world examples, students will develop the skills necessary to effectively use STATA for their research and professional needs.Course ObjectivesTo provide students with a thorough understanding of the STATA interface and its functionalities.To teach students how to import, manage, and manipulate datasets in STATA.To equip students with the knowledge to perform a variety of statistical tests and analyses using STATA.To enable students to interpret and communicate the results of their statistical analyses effectively.To develop students' ability to create and customize data visualizations in STATA.Introduction to STATAOverview of STATAInstallation and setupNavigating the STATA interfaceBasic commands and syntaxData types and structures in STATA Data Management in STATAImporting data from various sources (Excel, CSV, etc.)Data cleaning and preparationData transformation (sorting, merging, reshaping)Handling missing data Descriptive StatisticsSummary statistics (mean, median, mode, etc.)Frequency distributions and cross-tabulationsMeasures of dispersion (variance, standard deviation, etc.)Data visualization (histograms, bar charts, pie charts) Inferential Statistics IHypothesis testingt-tests (one-sample, independent, paired)Chi-square testsAnalysis of variance (ANOVA)Inferential Statistics IICorrelation analysisSimple linear regressionMultiple regression analysisAssumptions and diagnostics for regression modelsAdvanced Statistical TestsLogistic regressionFactor analysisTime series analysisPanel data analysisEstimating Models in STATADetecting MulticollinearitySolution to MulticollinearityStationarity of Time SeriesStationarity of Panel dataConverting non-stationary series to StationaryR-SqaureAuto-CorrelationRemoval of Auto-CorrelationJohansen-cointegration TestGranger Causality TestVAR modelForecasting in VAR modelVECM modelFixed EffectRandom EffectHausman Test Preparing Reports and DocumentationCreating tables and reports in STATADocumenting and annotating your workBest practices for reproducible researchSharing and collaborating on STATA projects Special Topics in STATASurvey data analysisHandling complex survey designsAdvanced econometric techniquesCustomizing STATA with user-written commands Review and Final ProjectReview of key concepts and techniquesQ & A and troubleshootingFinal project presentationsCourse wrap-up and feedback
