Note: Model fits in confirmatory network analysis of PanelVAR modeling

Reading Note of Moving from exploratory to confirmatory network analysis: An evaluation of SEM fit indices and cutoff values in network psychometrics

Quarto

ChatGPT

Author

Jihong Zhang

Published

April 15, 2024

1 Identification of PanelVAR model

Assume there are n_i items measured by n_t times, then there are n_v = n_t \times n_i. For example, if 3 items are measures by 3 times, there will be 9 measures. Following figure shows the example of n_t =2 and n_i = 3. In total, there are 24 parameters and 6 * (6+1) / 2 + 6 = 27 observations.

---
title: "Note: Model fits in confirmatory network analysis of PanelVAR modeling"
subtitle: "Reading Note of Moving from exploratory to confirmatory network analysis: An evaluation of SEM fit indices and cutoff values in network psychometrics"
author: 'Jihong Zhang'
date: 'April 15 2024'
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  - Quarto
  - ChatGPT
  - AI
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## Identification of *PanelVAR* model

Assume there are $n_i$ items measured by $n_t$ times, then there are $n_v = n_t \times n_i$. For example, if 3 items are measures by 3 times, there will be 9 measures. Following figure shows the example of $n_t =2$ and $n_i = 3$. In total, there are 24 parameters and 6 \* (6+1) / 2 + 6 = 27 observations.

![](figures/ThreeItemDiagram.png){width="671"}