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Informationen zum Autor Dr. Randall E. Schumacker is professor of educational research at the University of Alabama. He has written and co-edited several books, including A Beginner’s Guide to Structural Equation Modeling, Third Edition , Advanced Structural Equation Modeling: Issues and Techniques , Interaction and Non-Linear Effects in Structural Equation Modeling , New Developments and Techniques in Structural Equation Modeling , Understanding Statistical Concepts Using S-PLUS , Understanding Statistics Using R , and Learning Statistics Using R . Dr. Schumacker was the founder and is now emeritus editor of Structural Equation Modeling: A Multidisciplinary Journal , and has established the Structural Equation Modeling Special Interest Group within the American Educational Research Association (AERA). He is also the emeritus editor of Multiple Linear Regression Viewpoints , the oldest journal sponsored by AERA (Multiple Linear Regression: General Linear Model Special Interest Group). Dr. Schumacker has conducted international and national workshops, has served on the editorial board of several journals, and currently pursues his research interests in statistics and structural equation modeling. He was the 1996 recipient of the Outstanding Scholar Award and the 1998 recipient of the Charn Oswachoke International Award. In 2010, he launched the DecisionKit App for the iPhone, iPad, and iTouch, which can assist researchers in making decisions about which measurement, research design, or statistic to use in their research projects. In 2011, he received the Apple iPad Award. In, 2012, he received the CIT Faculty Technology Award. In 2013, he received the McCrory Faculty Excellence in Research Award from the College of Education at the University of Alabama. In 2014, Dr. Schumacker was the recipient of the Structural Equation Modeling Service Award at AERA. Klappentext Zusammenfassung A quick guide to using R! free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Inhaltsverzeichnis Preface Acknowledgments About the Author 1. Introduction and Overview Background Persons of Interest Factors Affecting Statistics R Software Web Resources References 2. Multivariate Statistics: Issues and Assumptions Issues Assumptions SPSS Check Summary Web Resources References 3. Hotelling's T2 : A Two-Group Multivariate Analysis Overview Assumptions Univariate Versus Multivariate Hypothesis Practical Examples Using R Power and Effect Size Reporting and Interpreting Summary Exercises Web Resources References 4. Multivariate Analysis of Variance MANOVA Assumptions MANOVA Example: One-Way Design MANOVA Example: Factorial Design Effect Size Reporting and Interpreting Summary Exercises Web Resources References 5. Multivariate Analysis of Covariance Assumptions Multivariate Analysis of Covariance Reporting and Interpreting Propensity Score Matching Summary Web Resources References 6. Multivariate Repeated Measures Assumptions Advantages of Repeated Measure Design Multivariate Repeated Measure Examples Reporting and Interpreting Results Summary Exercises Web Resources References 7. Discriminant Analysis Overview Assumptions Dichotomous Dependent Variable Polytomous Dependent Variable Effect Size Reporting and Interpreting Summary Exercises Web Resources References 8. Canonical Correlation Overview Assumptions R Packages Canonical Correlation Example E...
