What Is a Manifest Variable?
A manifest variable is a variable or factor that can be instantly measured or spotted. It is the opposite of a latent variable, which is a component that cannot be instantly spotted, and which needs a manifest variable assigned to it as an indicator to test whether it is supply.
A manifest variable is also known as an observable variable or a measured variable.
Key Takeaways
- A manifest variable can be instantly studied by means of a researcher or statistician when charted in a diagram.
- A manifest variable is the opposite of a latent variable, which is an function that is hidden and because of this reality cannot be instantly spotted.
- Latent variable models use manifest variables as a component to come to a decision whether or not or no longer latent variables exist.
- Manifest variables are used by researchers who are seeking to analyze and categorize different financial or medical models.
Working out Manifest Variable
Statisticians use various analysis techniques when analyzing manifest variables and latent variables. The 4 most incessantly used models are factor analysis, latent trait analysis, latent profile analysis, and latent magnificence analysis. Which sort is in any case used is decided by way of whether or not or no longer the manifest variables are secure or particular, and whether or not or no longer the latent variables are secure or particular as smartly.
Manifest variables are used in latent variable statistical models, which check out the relationships between a selection of manifest variables and a selection of latent variables. A latent variable, which cannot be spotted instantly, is also known as a component or a collect.
Comparing manifest and latent variables can help firms assess parts as it sounds as if intangible as purchaser satisfaction, product loyalty, or company reliability. Statisticians moreover use latent variable models when working out whether or not or no longer a company or stock is a brilliant investment.
Manifest variables, or those that can be spotted, are useful is models of latent variables or those which can be hidden and are differently laborious to come to a decision.
Manifest Variable Use Example
Manifest and latent variables can be used to measure parts in business that seem laborious to judge on their own, paying homage to purchaser satisfaction. Actual purchaser satisfaction is a hidden or latent factor, that can most simple be measured in comparison to a manifest variable, or observable factor.
Suppose retailer Area Excitement must get some way of whether or not or no longer its customers are pleased with its new line of throw pillows. Area Excitement would possibly hire a statistical research corporate or conduct its non-public within research to try to come to a decision purchaser satisfaction. It would conduct surveys, take a look at comments on retail web pages like Amazon where the product is being presented, or conduct further specific research, the use of manifest variables. The company would possibly make a choice to check observable variables, paying homage to product sales numbers, the cost in step with sale, regional characteristics of shopping for, the gender of the customer, age of the customer, percentage of return customers, and the best way top a purchaser ranked the product on various web pages all inside the pursuit of the latent factor — in particular, purchaser satisfaction.
