SPSS – SmartPLS – AMOS SAMPLE DATA
MULTI-VARIABLE REGRESSION MODEL
♥ 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: Data23051702 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: Data23051702
Price: 590,000 VND
♥ Data Description
- Multivariate regression model
- Sample size: 269
- Scale: Likert 5 points
- Description: The model has 6 independent variables from X1 to X6, and 1 dependent variable Y. Variable X1 has 6 observed variables; Variable X2 has 4 observed variables; Variable X3 has 5 observed variables; Variable X4 has 4 observed variables; Variable X5 has 4 observed variables; Variable X6 has 4 observed variables; and variable Y has 6 observed variables.
- Cronbach’s Alpha: All pass
- EFA: Good after one run
- Demographic section: Gender; Age; Education; Job; Income. This section provides detailed statistics and presentations. In which Age and Income are statistically significant for the dependent variable Y.
♥ Analysis results
♥ THIS DATA SET SHOULD BE RUN PLS SEM WITH SmartPLS 4 GIVES VERY OK RESULTS COMPARED TO SPSS → PLS SEM SHOULD BE USED FOR THIS DATA SET ♥
♥ BỘ SỐ LIỆU NÀY MANG ĐI CHẠY HỒI QUI (REGRESSION) BẰNG SmartPLS 4 CHO KẾT QUẢ KHÁ TƯƠNG ĐỒNG VỚI SPSS → NÊN SỬ DỤNG PLS SEM CHO BỘ DỮ LIỆU NÀY ♥
♥ 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 20 lines → change sample size. change from 249 to 269.
