Table 2.
Hierarchical multiple regression model predicting psychological adaptation.
| Predictors | Step 1 | Step 2 | Step 3 |
|---|---|---|---|
| Demographic variables | |||
| Age | 0.251** | 0.208* | 0.228** |
| Gender | 0.034 | 0.035 | 0.027 |
| Education level | −0.270** | −0.177 | −0.167 |
| Region | 0.221*** | 0.171** | 0.172** |
| Length of residence | 0.196** | 0.048 | 0.018 |
| Identity-related variables | |||
| Language proficiency | 0.089 | 0.002 | |
| Identity | 0.273*** | 0.227*** | |
| Intergroup-related variables | |||
| Intergroup contact | 0.077 | ||
| Quality of contact | 0.246*** | ||
| Adjusted R2 | 0.108 | 0.176 | 0.237 |
| R2 | 0.126 | 0.199 | 0.264 |
| R2 change | 0.126*** | 0.073*** | 0.065*** |
N = 255. Gender 1 = male, 0 = female; Region 1 = southern China, 0 = northern China; Cell entries are standardized beta weights for each step. ***p < 0.001; **p < 0.01; *p < 0.05.