Case Study: Role of Marketing Mix
This research article looks at tourism of Lake Samosir in North Sumatra, Indonesia. The underlying question is whether the implementation of the marketing mix influenced tourism in the area.
4. Results
4.1. Structural Model Analysis
After calculating and analyzing the Confirmatory Factor Analysis (CFA), the latent score can be measured for each latent variable. Analysis of the structural model includes several things, namely:
Overall Model Match Test
Table 1: Goodness of Fit Structural Equation Model (SEM)
Ukuran GoF |
Nilai |
Tingkat Kecocokan |
Statistic Chi Square ( 2) |
383,47 |
Not Fit |
Goodness of Fit Index (GFI) |
0.84 |
Marginal Fit |
Standardized Root Mean Square Residual (SRMR) |
0.073 |
Marginal Fit |
Root Mean Square Error of Approximation (RMSEA) |
0.066 |
Good Fit |
Non-Normed Fit Index (NNFI) |
0.95 |
Good Fit |
Normed Fit Index (NFI) |
0.91 |
Good Fit |
Adjusted Goodness of Fit Index (AGFI) |
0.80 |
Marginal Fit |
Relative Fit Index (RFI) |
0.90 |
Good Fit |
Incremental Fit Index (IFI) |
0.96 | Good Fit |
Comparative Fit Index (CFI) |
0.96 | Good Fit |
In table 1 above we can see the GFI value of 0.84 and AGFI of 0.80 and SRMR of 0.073, which fall into the marginal fit category. The value of RMSEA, NFI, and RFI NNFI, IFI, and CFI, all fall into the good fit category. So it can be concluded that the
overall fit of the model is already good.