השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח מיתון בייסיאני× | ניתוח תיווך מוסדר× | |
|---|---|---|
| תחום | סטטיסטיקה | סטטיסטיקה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | 2000s–2010s | 2007 |
| הוגה השיטה≠ | Bayesian framework applied to moderation by Kruschke, Gelman and colleagues | Preacher, Rucker & Hayes |
| סוג≠ | Interaction / moderator test | Conditional process model |
| מקור מכונן | Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654 | Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654 |
| כינויים | Bayesian interaction analysis, Bayesian moderated regression, Bayesian moderator testing, BMA | conditional process analysis, moderated mediation model, first-stage moderated mediation, second-stage moderated mediation |
| קשורות≠ | 2 | 4 |
| תקציר≠ | Bayesian moderation analysis tests whether the relationship between a predictor and an outcome changes depending on the value of a third variable (the moderator). By placing prior distributions on all model parameters and updating them with observed data, it yields full posterior distributions for the interaction effect — enabling direct probability statements about the moderation rather than binary significance decisions. | Moderated mediation tests whether the indirect effect of an independent variable on an outcome — transmitted through a mediator — differs in strength depending on the level of a moderator variable. It answers the question: for whom, or under what conditions, does the mediated pathway operate most strongly? |
| ScholarGateמערך נתונים ↗ |
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