Part I: Individual Level Analysis 1. Extending Conditional Means Modeling: An Introduction to Quantile Regression, Yaacov Petscher, Jessica A.R. Logan, and Chengfu Zhou 2. Using Dominance Analysis to Estimate Predictor: Importance in Multiple Regression, Razia Azen 3. I am ROC Curves (and so can you)!, Christopher Schatschneider Part II: Multilevel Analysis 4. Multilevel Modeling: Practical Examples to Illustrate a Special Case of SEM, Lee Branum-Martin 5. Linear and Quadratic Growth Models for Continuous and Dichotomous Outcomes, Ann A. O'Connell, Jessica A. R. Logan, Jill Pentimonti, and D. Betsy McCoach PART III: Item Level Analysis 6. Exploratory and Confirmatory Factor Analysis, Rex Kline 7. Factor Analysis with Categorical Indicators: Demonstrationof Item Response Theory, R.J. de Ayala Part IV: Covariance Structure Analysis 8. Introduction to Structural Equation Modeling, Richard Lomax 9. Latent Growth Curve Modeling using Structural Equation Modeling, Ryan Bowles and Janelle J. Montroy 10. Latent Class/Profile Analysis, Karen Samuelsen and Katherine Raczynski 11. n-level Structural Equation Modeling, Paras Mehta