#08.Latent variable modeling - sporedata/researchdesigneR GitHub Wiki
Categories for latent variable modeling
08.Latent variable modeling01.Factor-analysis
08.Latent variable modeling02.Validity
08.Latent variable modeling03.Internal-reliability
08.Latent variable modeling04.Item-response-theory
08.Latent variable modeling05.Latent-class-modeling
08.Latent variable modeling06.Structural-equation-modeling
08.Latent variable modeling07.Minimal-clinically-important-difference
08.Latent variable modeling08.Computerized-adaptive-testing
1. Use cases: In which situations should I use this method?
This method should be used in situations where a latent variable (also known as construct, domain, factor) is involved. Latent variables are defined as concepts that cannot be directly measured, but instead have to be assessed through a collection of items (usually a collection of questions), all measuring the same concept. For instance, although depression cannot be measured directly, it can be measured using a series of questions such as having difficulty getting out of bed, having suicidal thoughts.
2. Input: What kind of data does the method require?
Multiple variables measuring the same concept, which is determined by their degree of association (correlation if they happen to be numeric variables).
3. Algorithm: How does the method work?
Model mechanics
Describing in images
Data science packages
Suggested companion methods
Learning materials
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Books
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Articles
4. Output: How do I interpret this method's results?
Metaphors
It is an invisible and intangible concept measured indirectly through a series of questions.