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所在平台: Udemy |
课程主页: https://www.udemy.com/course/psychometricctt/
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课程名称：《掌握经典测验理论与R语言》 概述：欢迎参加“掌握经典测验理论与R”的课程——这是您理解和应用经典测验理论（CTT）原则的全面指南。在本课程中，我们将剖析心理评估的复杂性，揭穿围绕测验理论的常见误解，并为您提供实用技能，以自信地分析和解读测试数据。 您将学到的内容： 1. 简化经典测验理论（CTT）的理解： - 深入基础知识，学习如何从真实分数和误差分数的角度理解测试分数。 - 通过易于理解的解释和相关实例，探索信度和题目分析等关键概念。 - 使复杂的CTT理论变得易于接触，适合各类学习者。 2. 揭穿经典测验理论的神话： - 破除围绕经典测验理论的常见误解，包括关于其复杂性和现代评估实践相关性的误解。 - 了解CTT如何始终作为心理测量学的基础框架，其应用涵盖传统纸笔测试到在线评估和绩效评估。 3. 使用免费软件和R语言分析与解读数据： - 利用R和免费的软件分析测试数据，计算信度系数，进行题目分析。 适合对象： 本课程适合希望深入理解心理评估并提高数据分析技能的学生、研究人员、教育工作者和从业者。无论您是测验理论的新手，还是希望增强在R语言统计分析方面的能力，这门课程都能满足您的需求。
Welcome to "Mastering Classical Test Theory with R" - your comprehensive guide to understanding and applying the principles of Classical Test Theory (CTT). In this course, we'll break down the complexities of psychological assessments, debunk common myths surrounding test theory, and equip you with practical skills to analyze and interpret test data with confidence.What You'll Learn:1. Understanding Classical Test Theory (CTT) Made Easy: - Dive into the fundamentals of Classical Test Theory, learning how to conceptualize test scores in terms of true score and error score. - Explore key concepts such as reliability, and item analysis through easy-to-follow explanations and relatable examples. - Demystify the core principles of CTT, making complex theories accessible to learners of all backgrounds.2. Debunking Myths of Classical Test Theory: - Bust common myths surrounding Classical Test Theory, including misconceptions about its complexity and relevance in modern assessment practices. - Discover how CTT remains a foundational framework in psychometrics, with applications spanning from traditional paper-and-pencil tests to online assessments and performance evaluations.3. Analyzing and Interpreting Data Using Free Software and R Language: - Utilize R and a FREE software to analyze test data, calculate reliability coefficients, conduct item analysis.Who Is This Course For:This course is ideal for students, researchers, educators, and practitioners seeking to deepen their understanding of psychological assessments and improve their data analysis skills. Whether you're new to test theory or looking to enhance your proficiency in statistical analysis with R, this course offers something for everyone.
