Below, you’ll find three series of videos showcasing the use of LatentGOLD’s point-and-click modules:
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Basic functionality
Learn the essentials, including how to open a dataset, run a simple model, and save output. -
Real data analyses
Explore full analyses using the Cluster and DFactor modules. -
Comprehensive course on latent class analysis
Dive into an in-depth course covering latent class analysis, complete with technical insights into the methodology.
Series 2: Tutorials by Statistical Consulting Group at UCLA Academic Technology Services (uses version 4.5)
Watch full analyses using the Cluster and DFactor modules.
- Using LatentGOLD® to estimate Cluster models. (video)
- Using LatentGOLD® to estimate DFactor models. (video)
Series 3: Video lectures from Jeroen Vermunt’s LCA course (uses version 6.0)
- Introduction to latent class analysis. (video) (pdf)
- Latent class analysis: Assumptions, equations, and estimation. (video) (pdf) (excel)
- Latent class model selection. (video) (pdf)
- Latent class model selection (part 2). (video) (pdf) (excel)
- Technical settings when estimating latent class models. (video) (pdf)
- Logit equations for latent class model probabilities. (video) (pdf) (excel)
- Classification and classification statistics. (video) (pdf) (excel)
- The EM algorithm for latent class analysis. (video) (pdf) (excel)
- Covariates and distal outcomes: 1-step and 3-step approaches. (video) (pdf)
- Some extensions of the basic LC model. (video) (pdf)
- Latent class regression and growth models. (video) (pdf)
- Latent trait models: An introduction. (video) (pdf)
