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所在平台: Udemy |
课程主页: https://www.udemy.com/course/research-methods-q/
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**课程名称：** 研究方法 **课程概述：** 这门课程旨在介绍科学研究的整个过程，重点关注社会科学领域，但其方法也适用于许多其他学科。课程将通过详细的解释和实例，阐述科学研究的每个阶段为何以及如何进行。 **核心内容：** * **科学的本质与重要性：** 强调科学在改善人类生活、推动社会进步方面的巨大作用。 * **科学研究过程：** 涵盖从提出研究问题、概念化、操作化到数据收集、分析和结果展示的完整流程。 * **研究类型与设计：** 介绍不同类型的研究（如实验研究、调查研究、定性研究）及其相应的研究设计。 * **统计学基础：** 涉及数据、变量、抽样方法以及基本的统计分析技术（如回归分析）。 * **研究的严谨性：** 重点讲解研究中的伦理问题、各种效度（validity）的考量以及如何避免逻辑谬误。 * **数据收集方法：** 涵盖问卷调查（包括选项和常见问题）、定性研究方法以及二手数据的使用。 * **结果呈现与学术规范：** 教授如何撰写研究论文，并强调APA论文引用格式的重要性。 **课程价值：** 本课程不仅能帮助学员掌握独立进行研究的技能，更能培养他们成为一个明辨是非、负责任的研究消费者。通过学习，学员将能识别和抵制伪科学和误导性信息，具备批判性思维能力，即使不从事研究，也能更好地理解和评估信息。
Science is the greatest process that humanity has for improving the world. From life saving medicine to the internet to predicting hurricanes to landing humans on the moon, science has led to humanity's greatest achievements. This course will teach you how that scientific process works, with details and examples of how and why each stage in the process should be performed. While primarily focusing on social science, this course is applicable to many areas of study. It covers topics as diverse as ethics, statistics, experiments, and validity. It will empower you not only to continue on a path to conducting your own research, but also to be a good, responsible consumer of research performed by others. Unfortunately, the world is full of people who want to take advantage of you. Frequently, these bad actors utilize pseudoscience to try and get people to believe things that just aren't true. This course will give you the skills to be able to recognize those false and misleading claims. It is a beneficial area of study, even if you never intend to conduct research yourself! Lectures in this course: IntroductionLogical ErrorsTypes of ResearchResearch QuestionsEthicsConceptualizationOperationalizationData and VariablesSamplingSampling MethodsTrue ExperimentsQuasi ExperimentsValiditySurveysSurvey Options and ProblemsQualitative ResearchQualitative MethodsSecondary DataEvaluation ResearchData AnalysisRegressionPapersCitations (APA)
