Contents
What is latent variable and observed variable?
The latent variable is like a true score that is not directly observed, the observed variable is the measurement that is directly observed, and some degree of random measurement error may exist such that the observed score does not perfectly match the true scores.
Is the dependent variable observed?
Both the independent and dependent variables are observed variables.
What is a single latent variable?
A latent variable is a variable that cannot be observed. Most constructs in research are latent variables. Consider the psychological construct of anxiety, for example. Any single observable measure of anxiety, whether it is a self-report measure or an observational scale, cannot provide a pure measure of anxiety.
How is the latent variable indicated in a model?
Here, the latent variable is indicated by the circle and the single indicator variable x x is indicated by the square box, as are all observed variables. You’ll note a few curiosities compared to observed-variable models.
How is the direction of causality reversed in latent variable modeling?
First, the direction of causality is reversed from what you might expect: from the latent variables to the observed variable. This is because the indicator variable is an emergent manifestation of the underlying phenomenon represented by the latent variable. Second, there is an error δ δ associated with the indicator.
Which is a qualitative justification of the latent construct?
The degree to which the indicators represent the phenomenon captured by the latent variable is termed validity and is a qualitative justification of the latent construct. In contrast, the reliability of the latent variable captures how well an indicator reflects the latent variable through a quantitative value.
Having now described both exogenous and endogenous latent variables now allows us to fit a structural model, or one with directed paths between latent variables. This is in contrast to a measurement model, which focuses solely on relating indicators to latent variables.