Generally, speaking the structural equation modelling is a confirmatory approach, in which you have a theory of certain theory or a behaviour or an intention towards a particular behaviour as an intention to purchase, intention to purchase, intention to accept, and so on. The behaviour in question is so often influenced by a set of so-called factors or dimensions or sometimes construct, which are so often are latent variables. In other words, they are not measured directly, e.g. happiness, trust, satisfaction and others. This leads to the point of how the SEM is used.
SEM consists of two parts, which are the following:
Structural Model:
The researcher typically presents a picture of the expected relations among the selected factors, dimensions, or constructs interact with each other. These relations are usually based on the literature review, prior experience, or expected outcome of the individual's tendency.
Measurement Model:
The researcher asks a set of items or questions about each factor, dimension or a construct. They are used to capture the concept of the developed constructs. The aim source to acquire them is so-called dimension adaption, in which with an extensive review of recently published literature that matches the research context, the researcher should identify the items or questions that are likely to be selected. The adaption implies that some changes will go on the original scale.
References: Structural Model and Measurement Model
Xu, Z., Zhang, K., Min, H., Wang, Z., Zhao, X., & Liu, P. (2018). What drives people to accept automated vehicles? Findings from a field experiment. Transportation Research Part C: Emerging Technologies, 95, 320–334. https://doi.org/10.1016/j.trc.2018.07.024
1. In the measurement model, conceptual variables are linked to measured variables, which is the equivalent of a factor analysis.
2. In the structural model, the conceptual variables are linked to each other, which is the equivalent of a system of regression equations or a path model.
Measurement models refer to the implicit or explicit models that relate the latent variable to its indicators. The first question concerns whether the indicators influence the latent variable (causal indicators) or whether the latent variable drives the indicators (effect indicators).
Structured Modeling is an attempt to redress this imbalance. Structured Modeling aims to provide a formal mathematical framework and computer-based environment for conceiving, representing, and manipulating a wide variety of models.
Structural model based on theory, from structural model (theory~ variable) to measurement model. Measurement model refer to how measure the variables, what the instruments will be use, scoring