The effects of manager’s demographic variables on their attitude towards migrants
| Control variables | Direct effect | The indirect paths and effects | Total indirect effect | Total effect on ATM |
|---|---|---|---|---|
| Being foreign-born | 0.07*** | – | – | 0.07*** |
| Older age | 0.04* | Age→CON→ATM: −0.03*** Age→HCE→ATM: −0.01*** Age→ACE→ATM: −0.02*** | −0.06*** | ns |
| Being female | −0.08*** | Gender→ST→ATM: 0.02*** Gender→CON→ATM: −0.01* | 0.02* | −0.07*** |
| Higher educational level | 0.19*** | EDU→CON→ATM: 0.03*** EDU→ACE→ATM: 0.00*** EDU→HCE→ATM: 0.02*** | 0.05*** | 0.24*** |
| Control variables | Direct effect | The indirect paths and effects | Total indirect effect | Total effect on ATM |
|---|---|---|---|---|
| Being foreign-born | 0.07*** | – | – | |
| Older age | 0.04* | Age→CON→ATM: −0.03*** | −0.06*** | ns |
| Being female | −0.08*** | Gender→ST→ATM: 0.02*** | 0.02* | |
| Higher educational level | 0.19*** | EDU→CON→ATM: 0.03*** | 0.05*** |
Notes: *,**The path coefficients are significant at 0.05 and 0.001 levels, respectively
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