Focuses on conceptual and methodological issues employed in health care research. Emphasizes two and three-way analyses of variance (ANOVA); multivariate analysis of variance (MANOVA); repeated measures analysis of variance; linear regression models for continuous and binary outcomes; nonlinear regression models analyzing both epidemiologic and clinical data; path analysis; and factor analysis. Examines violations of model assumptions (multicollinearity, heteroscedasticity, measurement error) with an emphasis on nursing and health care questions and concrete tasks facing an investigator planning and executing a study. Students use the Statistical Package for the Social Sciences (SPSS) for data mining and statistical analyses.