Psychometrics-Classical Test Theory (Simplified mathematics)

Description

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.

Who this course is for:

• Psychologists
• Data analyst
• Psychometricians
• Data scientists
• Researcher