Factor analysis, in which both latent (unobserved) and manifest (observed) variables are continuous, is perhaps the best known.
In latent profile analysis the latent variable (e.g. consumer segments) is categorical and the manifest variables (e.g. responses to rating scales) are continuous.
Latent trait models (e.g. item response theory) are characterized by continuous latent variables and categorical manifest variables (e.g. correct or incorrect answers to test items).
In latent class analysis both latent and observed variables are categorical.
There are also hybrid models which include both continuous and categorical latent and manifest variables.
In some models there is a distinction between dependent and independent variables. Censored, truncated and count variables can also be accommodated.
Any of these models can be multilevel (hierarchical) or longitudinal and can incorporate exogenous variables (covariates).
This popular book is focused on latent class analysis and its longitudinal extension, latent transition analysis. It is well written and covers theoretical and technical issues as well as application.
Factor analysis, in which both latent (unobserved) and manifest (observed) variables are continuous, is perhaps the best known.
In latent profile analysis the latent variable (e.g. consumer segments) is categorical and the manifest variables (e.g. responses to rating scales) are continuous.
Latent trait models (e.g. item response theory) are characterized by continuous latent variables and categorical manifest variables (e.g. correct or incorrect answers to test items).
In latent class analysis both latent and observed variables are categorical.
There are also hybrid models which include both continuous and categorical latent and manifest variables.
In some models there is a distinction between dependent and independent variables. Censored, truncated and count variables can also be accommodated.
Any of these models can be multilevel (hierarchical) or longitudinal and can incorporate exogenous variables (covariates).
This popular book is focused on latent class analysis and its longitudinal extension, latent transition analysis. It is well written and covers theoretical and technical issues as well as application.
The STAR Market, as is implied by the name, is heavily geared toward smaller innovative tech companies, in particular those engaged in strategically important fields, such as biopharmaceuticals, 5G technology, semiconductors, and new energy. The STAR Market currently has 340 listed securities. The STAR Market is seen as important for China’s high-tech and emerging industries, providing a space for smaller companies to raise capital in China. This is especially significant for technology companies that may be viewed with suspicion on overseas stock exchanges.
Export WhatsApp stickers to Telegram on iPhone
You can’t. What you can do, though, is use WhatsApp’s and Telegram’s web platforms to transfer stickers. It’s easy, but might take a while.Open WhatsApp in your browser, find a sticker you like in a chat, and right-click on it to save it as an image. The file won’t be a picture, though—it’s a webpage and will have a .webp extension. Don’t be scared, this is the way. Repeat this step to save as many stickers as you want.Then, open Telegram in your browser and go into your Saved messages chat. Just as you’d share a file with a friend, click the Share file button on the bottom left of the chat window (it looks like a dog-eared paper), and select the .webp files you downloaded. Click Open and you’ll see your stickers in your Saved messages chat. This is now your sticker depository. To use them, forward them as you would a message from one chat to the other: by clicking or long-pressing on the sticker, and then choosing Forward.
