Unit 12: Analysis of Partial Variance: Mediation and Other Models for the Role of Variables” “Third Readings: CCWA, Ch. 5 (review) Baron, R. M., & Kenny, D. A. (1986, pp. 1176-1178) Frazier, P. A., Tix, A. P., & Barron, K. E. (2004, pp. 125-132) Hoyt, Imel, & Chan (2008, pp. 325-329) Objectives: After this unit’s class discussion and readings you should be able to: Tell what means in MRC, and discuss how to interpret a correlation between “partialing” two variables and from which a third variable has been partialed. Tell what effect X Y W sizes (proportion of variance estimates) are relevant to such an analysis, and how they are interpreted. Conduct and interpret APV using third variables or sets of variables (“covariates”). Explain what is by mediation. Conduct a test for mediation of a primary (XY) relation by a third variable (W). Explain the difference between full and partial mediation. Describe how to tell whether mediation is a plausible when a third variable (W) significantly reduces the relation when is included in the regression equation. XY W What other models for the relation between and should be considered? X, Y, W Reading Assignments and Objectives Unit 13: Introduction to Multilevel Modeling Readings: CCWA, Ch. 14 Kenny & Hoyt (2009) Objectives: this unit’s class discussion and readings you should be able to:
Unit 12: Analysis of Partial Variance: Mediation and Other Models for the Role of “Third Variables” Readings: CCWA, Ch. 5 (review) Baron, R. M., & Kenny, D. A. (1986, pp. 1176-1178) Frazier, P. A., Tix, A. P., & Barron, K. E. (2004, pp. 125-132) Hoyt, Imel, & Chan (2008, pp. 325-329) Objectives: After this unit’s class discussion and readings you should be able to: Tell what “partialing” means in MRC, and discuss how to interpret a correlation between two variables X and Y from which a third variable W has been partialed. Tell what effect sizes (proportion of variance estimates) are relevant to such an analysis, and how they are interpreted. Conduct and interpret APV using third variables or sets of variables (“covariates”). Explain what is by mediation. Conduct a test for mediation of a primary (XY) relation by a third variable (W). Explain the difference between full and partial mediation. Describe how to tell whether mediation is a plausible when a third variable (W) significantly reduces the XY relation when W is included in the regression equation. What other models for the relation between X, Y, and W should be considered? Reading Assignments and Objectives Unit 13: Introduction to Multilevel Modeling Readings: CCWA, Ch. 14 Kenny & Hoyt (2009) Objectives: this unit’s class discussion and readings you should be able to:
CP%20960%20syllabus%20(S%2015)-1.docx