Chapter 16 Learning Objectives:

  1. Use arrow diagrams to represent the relationships in multivariate models.
  2. Distinguish between stochastic and systematic components of multivariate models.
  3. Explain the logic of elaboration analysis, or how statistical control is used in contingency tables to test multivariate models.
  4. Explain the logic of multiple regression analysis, including the meaning of partial regression coefficients, specification errors, and multicollinearity.
  5. Describe how path analysis may be applied to complex multivariate models.