第585行: |
第585行: |
| | | |
| ==Regression equations for moderated mediation and mediated moderation== | | ==Regression equations for moderated mediation and mediated moderation== |
− |
| |
− |
| |
| | | |
| Muller, Judd, and Yzerbyt (2005)<ref name="Muller"/> outline three fundamental models that underlie both moderated mediation and mediated moderation. ''Mo'' represents the moderator variable(s), ''Me'' represents the mediator variable(s), and ''ε<sub>i</sub>'' represents the measurement error of each regression equation. | | Muller, Judd, and Yzerbyt (2005)<ref name="Muller"/> outline three fundamental models that underlie both moderated mediation and mediated moderation. ''Mo'' represents the moderator variable(s), ''Me'' represents the mediator variable(s), and ''ε<sub>i</sub>'' represents the measurement error of each regression equation. |
− |
| |
− |
| |
− |
| |
− | Notes
| |
− |
| |
− | 注释
| |
| | | |
| [[File:Mediation.jpg|434px|right|A simple statistical mediation model.]] | | [[File:Mediation.jpg|434px|right|A simple statistical mediation model.]] |
− |
| |
− |
| |
− |
| |
− | Bibliography
| |
− |
| |
− | 参考书目
| |
| | | |
| '''Step 1''': Moderation of the relationship between the independent variable (X) and the dependent variable (Y), also called the overall treatment effect (path ''C'' in the diagram). | | '''Step 1''': Moderation of the relationship between the independent variable (X) and the dependent variable (Y), also called the overall treatment effect (path ''C'' in the diagram). |
− | | + | : <math>Y=\beta_{40} +\beta_{41}X +\beta_{42}Mo +\beta_{43}XMo + \varepsilon_4</math> |
− | :<math>Y=\beta_{40} +\beta_{41}X +\beta_{42}Mo +\beta_{43}XMo + \varepsilon_4</math> | + | * To establish overall moderation, the ''β''<sub>43</sub> regression weight must be significant (first step for establishing mediated moderation). |
− | | |
− | * To establish overall moderation, the ''β''<sub>43</sub> regression weight must be significant (first step for establishing mediated moderation) | |
− | | |
| * Establishing moderated mediation requires that there be no moderation effect, so the ''β''<sub>43</sub> regression weight must not be significant. | | * Establishing moderated mediation requires that there be no moderation effect, so the ''β''<sub>43</sub> regression weight must not be significant. |
| | | |
| '''Step 2''': Moderation of the relationship between the independent variable and the mediator (path ''A''). | | '''Step 2''': Moderation of the relationship between the independent variable and the mediator (path ''A''). |
− |
| |
| : <math>Me=\beta_{50} +\beta_{51}X +\beta_{52}Mo +\beta_{53}XMo + \varepsilon_5</math> | | : <math>Me=\beta_{50} +\beta_{51}X +\beta_{52}Mo +\beta_{53}XMo + \varepsilon_5</math> |
− |
| |
− | 行为研究方法,仪器和计算机
| |
− |
| |
| * If the ''β''<sub>53</sub> regression weight is significant, the moderator affects the relationship between the independent variable and the mediator. | | * If the ''β''<sub>53</sub> regression weight is significant, the moderator affects the relationship between the independent variable and the mediator. |
| | | |
| '''Step 3''': Moderation of both the relationship between the independent and dependent variables (path ''A'') and the relationship between the mediator and the dependent variable (path ''B''). | | '''Step 3''': Moderation of both the relationship between the independent and dependent variables (path ''A'') and the relationship between the mediator and the dependent variable (path ''B''). |
− |
| |
| : <math>Y=\beta_{60} +\beta_{61}X +\beta_{62}Mo +\beta_{63}XMo +\beta_{64}Me +\beta_{65}MeMo + \varepsilon_6</math> | | : <math>Y=\beta_{60} +\beta_{61}X +\beta_{62}Mo +\beta_{63}XMo +\beta_{64}Me +\beta_{65}MeMo + \varepsilon_6</math> |
− |
| |
| * If both ''β''<sub>53</sub> in step 2 and ''β''<sub>63</sub> in step 3 are significant, the moderator affects the relationship between the independent variable and the mediator (path ''A''). | | * If both ''β''<sub>53</sub> in step 2 and ''β''<sub>63</sub> in step 3 are significant, the moderator affects the relationship between the independent variable and the mediator (path ''A''). |
− |
| |
| * If both ''β''<sub>53</sub> in step 2 and ''β<sub>65</sub>'' in step 3 are significant, the moderator affects the relationship between the mediator and the dependent variable (path ''B''). | | * If both ''β''<sub>53</sub> in step 2 and ''β<sub>65</sub>'' in step 3 are significant, the moderator affects the relationship between the mediator and the dependent variable (path ''B''). |
| + | * Either or both of the conditions above may be true. |
| | | |
− | * Either or both of the conditions above may be true.
| |
| ==Causal mediation analysis== | | ==Causal mediation analysis== |
| ===Fixing versus conditioning=== | | ===Fixing versus conditioning=== |