AMOS SAMPLE DATA
This data idea is built from the article by Bianchi (2022) – “Antecedents of solo travel intention of tourists”. See full article here.
Bianchi, C. (2022). Antecedents of tourists’ solo travel intentions. Tourism Review, 77(3), 780–795.
♥ Payment and some notes with the Sample Dataset
The sample data set is compatible with the model presented here. The data set is fixed and there is no option to customize according to customer requirements. If you have any other request please use our Data Processing service here.
Note that this dataset is not unique, so many people may have purchased it. However, this dataset is currently unoccupied.
Payment method: pay first, receive data later.
Payment terms: If you buy data, please transfer money to the account:
Account holder: NGUYEN THANH TIEN
ACB Account 4707776 (THANH DA Transaction Office)
Transfer content: Data code + space + your email (only take the part before @)
For example, your email is hathu2212@gmail.com, the transfer content is as follows: Data23060402 hathu2212
After transferring, please send an email with payment documents confirming successful transfer to email address phantichamos@gmail.com or send a direct message to zalo at 0971.202.308. We will send the data file to you within 30 minutes after receiving the transfer information. The data file includes data files pre-encoded in spss and related model files if any. In the file sent to you, we have included an article inspired by creating sample data (if any).
♥ Data Information
Data code: Data23060402
Price: 2,290,000 VND
♥ Data Description
- CB SEM model running AMOS
(Source: Bianchi (2022))
- Sample size: 187
- Description: The model has 7 factors measured by 26 observed variables. For details see model and scale.
- Scale referenced from Bianchi (2022)
(Source: Bianchi (2022))
- Model running CB SEM using AMOS: gives good results. Most hypotheses are supported, only hypothesis H2 is not supported. This result is quite similar to that of Bianchi (2022).
- Demographic section: Gender; Age; Education; Marital status. This section provides detailed statistics and presentations. All are not statistically significant for the dependent variable Y.
| Variable | Detail | Total | % |
| Gender | Male | 66 | 35.3% |
| Female | 121 | 64.7% | |
| Age | 18-24 | 22 | 11.8% |
| 25-34 | 88 | 47.1% | |
| 35-44 | 52 | 27.8% | |
| 45-54 | 20 | 10.7% | |
| 55-64 | 5 | 2.7% | |
| 65+ | 0 | 0.0% | |
| Education | Intermediate High School | 24 | 12.8% |
| College | 100 | 53.5% | |
| After university | 63 | 33.7% | |
| Maritalstatus | Single, no children | 15 | 11.9% |
| Married with no children | 27 | 21.4% | |
| Married with young children | 40 | 31.7% | |
| Divorce | 44 | 34.9% |
♥ Analysis results
♪ EFA analysis results are all satisfactory
♪ Kết quả phân tích CFA → OK
♪ Kết quả phân tích SEM
♥ WE HOPE YOU ENJOY USING THIS DATA SET ♥
Tip: You should change the sample size to have a set of data that does not overlap with previous buyers, by deleting the number of data lines in the data file, it is recommended to delete within 10 lines → change sample size. change from 178 to 187.
