The mission of this book is to address advances in quantitative methods that are not covered in other texts, such as item response theory, the family of multilevel models (including cross-classified and growth), and mixture modeling.
The mission of this book is to address advances in quantitative methods that are not covered in other texts, such as item response theory, the family of multilevel models (including cross-classified and growth), and mixture modeling.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Yaacov Petscher is Director of Research at the Florida Center for Reading Research, US. Christopher Schatschneider is Associate Director of the Florida Center for Reading Research and Professor of Psychology at Florida State University, US. Donald L. Compton is Professor of Special Education and John F. Kennedy Center Investigator at Vanderbilt University, US.
Inhaltsangabe
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
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
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