Analysis of effect size
| Variables | R-squared value for total effect (A) | R-squared value when the variable is excluded (B) | F-squared value (A−B)/(1−B) | Effect size |
|---|---|---|---|---|
| INV | 0.394 | 0.293 | 0.167 | Medium |
| RS | 0.394 | 0.364 | 0.049 | Small |
| PR | 0.394 | 0.383 | 0.018 | None |
| AG | 0.394 | 0.365 | 0.047 | Small |
| AT | 0.394 | 0.339 | 0.091 | Small |
| Combined effect | 0.394 | 0 | 0.6502 | Large |
| Variables | Effect size | |||
|---|---|---|---|---|
| INV | 0.394 | 0.293 | 0.167 | Medium |
| RS | 0.394 | 0.364 | 0.049 | Small |
| PR | 0.394 | 0.383 | 0.018 | None |
| AG | 0.394 | 0.365 | 0.047 | Small |
| AT | 0.394 | 0.339 | 0.091 | Small |
| Combined effect | 0.394 | 0 | 0.6502 | Large |
Note(s): The cut-off points on effect size is based on F-squared value; 0 = none; 0.02 = small; 0.15 = medium
0.35 = large
Source(s): Survey data (2022)
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