Sample AMOS Data
The idea for this dataset was constructed from the article by Liu et al. (2023) – “The impact of blockchain technology on the online purchase behavior of green agricultural products.” See the full article here.
Liu, H., Ma, R., He, G., Lamrabet, A., & Fu, S. (2023). The impact of blockchain technology on the online purchase behavior of green agricultural products. Journal of Retailing and Consumer Services, 74, 103387.
♥ Payment and Notes with Sample Data
The sample dataset is compatible with the model presented here. The dataset is fixed and does not offer customization according to customer requirements. If you have any other requests, please use our Data Processing service here.
Note that this dataset is not unique, so multiple people may have purchased it before. However, currently, this dataset has not been used by anyone.
Payment method: payment in advance to receive the data afterward.
Payment terms: Please transfer the payment to the account:
Account holder: NGUYEN THANH TIEN
ACB account 4707776 (Thanh Da branch)
Transfer description: Data code + space + your email (only take the part before @)
For example, if your email is hathu2212@gmail.com, the transfer description should be: Data23060802 hathu2212
After transferring the payment, please send an email with proof of successful payment to phantichamos@gmail.com or send a direct message to Zalo number 0971.202.308. We will send you the data file within 30 minutes after receiving the payment confirmation. The data file includes an encrypted SPSS data file and any related model files if available. In the sent file, we also include the article from which the sample data idea was derived (if applicable).
♥ Data Information
Data code: Data23060802
Price: 1,368,000 VND
♥ Data Description
- CB SEM model run using Amos software.

- Sample size: 474
- Scale: 7-point Likert
- Description: The model has 5 factors, measured by 18 observed variables. Specifically: CBTE is measured by 3 observed variables; EITP is measured by 6 observed variables; DT is measured by 3 observed variables; ST is measured by 3 observed variables; and IB is measured by 3 observed variables;
- Model running CB SEM with Amos 28: Gives good results. All hypotheses were supported.
- Statistical information section: Here, based on the original article, the information section is detailed as follows:
| Variable | Detail | Total | % |
| Gender | Male | 286 | 60.3% |
| Female | 188 | 39.7% | |
| Age | 18 below | 2 | 0.5% |
| 18-25 | 107 | 28.1% | |
| 26-30 | 112 | 29.4% | |
| 31-40 | 71 | 18.6% | |
| 41-50 | 51 | 13.4% | |
| 51-60 | 35 | 9.2% | |
| 60 above | 3 | 0.8% | |
| Education | High school | 76 | 16.0% |
| Graduate | 250 | 52.7% | |
| Post graduate | 118 | 24.9% | |
| Doctoral | 30 | 6.3% | |
| Monthly income | < 5 million | 51 | 10.8% |
| 5-10 million | 171 | 36.1% | |
| 10-20 million | 144 | 30.4% | |
| 20-30 million | 57 | 12.0% | |
| 30-100 million | 51 | 10.8% | |
| >100 million | 0 | 0.0% |
♥ Analysis results: Click here

