In statistics, observable variable or observable quantity, as opposed to latent variable, is a variable that can be observed and directly measured.
What is ‘Manifest Variable’
A variable that can be directly measured or observed. It is the opposite of a latent variable, which can not be directly observed. Manifest variables are used in latent variable statistical models, which test the relationships between a set of manifest variables and a set of latent variables. Manifest variables are considered either continuous or categorical (a countable range).
Explaining ‘Manifest Variable’
Statisticians use several different analysis tests when examining manifest variables and latent variables. The four most frequently used models are factor analysis, latent trait analysis, latent profile analysis, and latent class analysis. Which model is ultimately used depends on whether the manifest variables are continuous or categorical, and whether the latent variables are continuous or categorical.
- Financial development and economic growth: international evidence – www.journals.uchicago.edu [PDF]
- Investigating factorial invariance of latent variables across populations when manifest variables are missing completely – www.tandfonline.com [PDF]
- The effects of sustainable development on firms' financial performance–an empirical approach – onlinelibrary.wiley.com [PDF]
- Consumers' stock preferences beyond expected financial returns – www.emerald.com [PDF]
- How is manifest branding strategy related to the intangible value of a corporation? – journals.sagepub.com [PDF]
- Mental discounting and financial strategies – www.sciencedirect.com [PDF]
- Manifest variable Granger causality models for developmental research: A taxonomy – www.tandfonline.com [PDF]
- Do green supply chains lead to competitiveness and economic performance? – www.emerald.com [PDF]
- Modelling the causes and manifestation of bank stress: an example from the financial crisis – www.tandfonline.com [PDF]