Why Use CFA & SEM for Longitudinal Data?
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- Опубликовано: 23 авг 2024
- QuantFish instructor and statistical consultant Dr. Christian Geiser discusses the advantages of using confirmatory factor analysis (CFA) and structural equation modeling (SEM) for analyzing longitudinal (repeated measures) data.
#Mplus #statistics #geiser #quantfish #mplusforbeginners #statisticstutorials #CFA #SEM #longitudinal
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ABOUT THIS INSTRUCTOR:
Dr. Christian Geiser is a quantitative psychologist, author of two books on Mplus, and a leader in the development of latent variable techniques for complex data. With his accessible books and sought-after workshops, he has helped thousands of researchers and students around the world to achieve their analytic goals. Sign up for his newsletter at christiangeiser.com.
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