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 lead from Wall Street offers little clarity as the major averages opened lower on Friday and then bounced back and forth across the unchanged line, finally finishing mixed and little changed.The Dow added 33.18 points or 0.10 percent to finish at 34,798.00, while the NASDAQ eased 4.54 points or 0.03 percent to close at 15,047.70 and the S&P 500 rose 6.50 points or 0.15 percent to end at 4,455.48. For the week, the Dow rose 0.6 percent, the NASDAQ added 0.1 percent and the S&P gained 0.5 percent.The lackluster performance on Wall Street came on uncertainty about the outlook for the markets following recent volatility.
Look for Channels Online
You guessed it – the internet is your friend. A good place to start looking for Telegram channels is Reddit. This is one of the biggest sites on the internet, with millions of communities, including those from Telegram.Then, you can search one of the many dedicated websites for Telegram channel searching. One of them is telegram-group.com. This website has many categories and a really simple user interface. Another great site is telegram channels.me. It has even more channels than the previous one, and an even better user experience.These are just some of the many available websites. You can look them up online if you’re not satisfied with these two. All of these sites list only public channels. If you want to join a private channel, you’ll have to ask one of its members to invite you.