Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS and » książka
Preface xviiiAbout the Companion Website xxi1 Preliminary Considerations 12 Introductory Statistics 163 Analysis of Variance: Fixed Effects Models 974 Factorial Analysis of Variance: Modeling Interactions 1465 Introduction to Random Effects and Mixed Models 1756 Randomized Blocks and Repeated Measures 2047 Linear Regression 2328 Multiple Linear Regression 2869 Interactions in Multiple Linear Regression 31610 Logistic Regression and the Generalized Linear Model 33311 Multivariate Analysis of Variance 36112 Discriminant Analysis 39413 Principal Components Analysis 42314 Factor Analysis 44915 Path Analysis and Structural Equation Modeling 497References 534Index 548
DANIEL J. DENIS, PhD, is Professor of Quantitative Psychology at the University of Montana where he teaches courses in univariate and multivariate statistics. He has published a number of articles in peer-reviewed journals and has served as consultant to researchers and practitioners in a variety of fields.