AMOS SAMPLE DATA
The data concept is derived from Hassan et al.’s (2022) paper – “Understanding public service motivation, workplace spirituality and employee well-being in the public sector.” You can access the full paper here.
Hassan, S., Ansari, N., Rehman, A., & Moazzam, A. (2022). Understanding public service motivation, workplace spirituality and employee well-being in the public sector. International Journal of Ethics and Systems, 38(1), 147–172.
♥ Payment and Some Notes about the Sample Data
The sample data set is compatible with the model presented here. The data set is fixed and not customizable according to customer requirements. If you have any other requests, please use our Data Processing service here.
Please note that this data set is not unique, so it’s possible that many people have purchased it before. However, as of now, this data set has not been used by anyone.
Payment method: Payment in advance to receive the data afterward.
Payment terms: Please transfer the payment to the following account:
Account holder: NGUYEN THANH TIEN
ACB account 4707776 (THANH DA branch)
Transfer content: Data code + space + your email (only the part before @)
For example, if your email is hathu2212@gmail.com, the transfer content should be as follows: Data23060702 hathu2212
After making the transfer, kindly send an email with the payment confirmation document indicating that the transfer was successful to the email address phantichamos@gmail.com or send a direct message to the Zalo number 0971.202.308. We will send you the data file within 30 minutes after receiving the transfer information. The data file includes an encrypted data file in SPSS format and related model files if any. In the file we send you, we also include the paper used to generate the sample data (if any).
♥ Data Information
Data code: Data23060702
Price: 1,590,000 VND
♥ Data Description
- The model runs CB SEM using Amos software.
- Sample size: 394
- Description: The model has 4 factors, each factor is measured by 4 observed variables. Details of the scale in the original article are not shown, so those who refer to this data need to research more about the scale set.
- Model running CFA: Eliminate variable X3.4 because it makes the total variable AVE < 0.5. For details, see the results section.
- Model running CB SEM with Amos 28: Gives good results. Hypotheses H1, H2, H3, H4 and H5 are all supported.
- Statistical information section: Here, based on the original article, the information section is detailed as follows:
| Variable | Detail | Total | % |
| Marital status | Single | 235 | 59.6% |
| Married | 113 | 28.7% | |
| Other | 46 | 11.7% | |
| Professional experience | ≤ 5 năm | 106 | 27.8% |
| 6 – 10 năm | 146 | 38.3% | |
| 11 – 15 năm | 89 | 23.4% | |
| > 15 năm | 40 | 10.5% | |
| gender | Male | 143 | 36.3% |
| Female | 251 | 63.7% | |
| Age | ≤ 25 | 39 | 9.9% |
| 26-35 | 209 | 53.0% | |
| 36-45 | 73 | 18.5% | |
| 46-55 | 37 | 9.4% | |
| >55 | 36 | 9.1% | |
| Enterprise Size | Medium and large enterprises | 230 | 60.4% |
| Small and medium enterprises | 122 | 32.0% | |
| Other | 29 | 7.6% |
♥ Results of data analysis
♥ WE HOPE YOU ARE SATISFIED WHEN 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 30 lines.
