3.00 Credits
Applications of least-squares and iterative maximum-likelihood methods for drawing cause and effect conclusions from non-experimental data. Topics include regression-based path analysis, reciprocal causation, confirmatory factor analysis, measurement error, and structural equation models with unmeasured (latent) variables. Cross listed with SOC 4070. Prerequisites: one of STAT 3050, 4010, 5050, 5060, 5070, 5080 or equivalent (regression methods).