JASP統計分析實務(3)

This course provides a comprehensive introduction to Structural Equation Modeling (SEM), designed for individuals with a foundational understanding of statistics and research methods. You'll delve into the theoretical underpinnings and practical applications of SEM, gaining valuable skills for advanced research.

The curriculum begins with the fundamental concepts and characteristics of SEM, then systematically explores key techniques including:

• Path Analysis: Learn to model and test causal relationships between variables.
• Confirmatory Factor Analysis (CFA): Master the process of validating latent variable structures.
• Latent Variable Construction: Understand the logic behind developing and interpreting unobserved constructs.

We'll thoroughly examine model estimation, assessing model fit, and implementing effective modification strategies to ensure robust results. Beyond theoretical knowledge, this course emphasizes hands-on experience. You'll gain practical proficiency using JASP statistical software for data processing and model analysis. Through practical case studies, you'll solidify your skills in applying SEM.

Upon completion, you will be able to:

• Construct and validate theoretical models using SEM.
• Interpret and critically evaluate SEM research.
• Independently design and analyze structural equation models.
• Apply SEM to address research questions in diverse fields such as social sciences, education, management, and related disciplines.

This course equips you with the skills to confidently utilize SEM for advanced quantitative research and real-world problem-solving.