Can I use SEM when I have data for only one country (so it is time series data with more than one variable), as it is not panel data now? If I can use it, do I need to take care of something special that is not in the panel data?
Can you provide more details on your hypotheses, the data structure (measurement design), and/or the specific SEM model that you have in mind? It is not clear to me how you could run a time-series (longitudinal) analysis without panel data.
Yes, you can use Structural Equation Modelling (SEM) when you have time series data with more than one variable. SEM is a statistical technique that allows you to test complex relationships between variables. It is often used in social science research to test theories about how different variables are related to each other. Here are some articles that discuss this topic:
- SEM Time Series Modeling · R Views - RStudio
- Structural Equation Modeling With Many Variables: A Systematic Review of Issues and Developments
- A State-Space Approach for Structural Equation Model with Time Series and Cross-Sectional Data
- Badges
- Science topic
- Similar topics
- Correction