Table Of Contents:

• VOLUME ONE: REGRESSION AND ITS CORRELATIONAL FOUNDATIONS AND CONCOMITANTS
• Report on Certain Enteric Fever Inoculation Statistics
• A Statistical Note on Karl Pearson's 1904 Meta-Analysis
• An Historical Note on Zero Correlation and Independence
• Spurious Correlation
• A Causal Interpretation
• r equivalent, Meta-Analysis and Robustness
• An Empirical Examination of Rosenthal and Rubin's Effect-Size Indicator
• Multiple Correlation versus Multiple Regression
• Regression to the Mean, Murder Rates and Shall-Issue Laws
• A Regression Paradox for Linear Models
• Sufficient Conditions and Relation to Simpson's Paradox
• Sample Sizes When Using Multiple Linear Regression for Prediction
• Confidence Intervals for and Effect Size Measures in Multiple Linear Regression
• History and Use of Relative Importance Indices in Organizational Research
• Variable Importance Assessment in Regression
• Linear Regression versus the Random Forest
• VIF Regression
• A Fast Regression Algorithm for Large Data
• Graphical Views of Suppression and Multicollinearity in Multiple Linear Regression
• Modern Insights about Pearson's Correlation and Least Squares Regression
• LINEAR REGRESSION DESIGNS AND MODEL-BUILDING
• Multiple Regression as a General Data-Analytic System
• Multiple Regression Analyses in Clinical Child and Adolescent Psychology
• Methodologist as Arbitrator
• Five Models for Black-White Differences in the Causal Effect of Expectations on Attainment
• Multivariate Regression Analysis for the Item-Count Technique
• Testing for Threshold Effects in Regression Models
• Robust Inference with Multiway Clustering
• An Introduction to Ensemble Methods for Data Analysis
• Sparse Partial Least Squares Regression for Online Variable Selection with Multivariate Data Streams
• VOLUME TWO: FACTOR ANALYSIS, REGRESSION DIAGNOSTICS, AND MODEL BUILDING
• INHERENTLY NON-LINEAR MODELS: LOG-LINEAR MODELS AND PROBIT AND LOGISTIC REGRESSION
• Confronting Sociological Theory with Data
• Regression Analysis, Goodman's Log-Linear Models and Comparative Research
• Suppression and Confounding in Action
• Explained Variance in Logistic Regression
• A Monte Carlo Study of Proposed Measures
• Co-Efficients of Determination in Logistic Regression Models - A New Proposal
• The Co-Efficient of Discrimination
• A Graphical Method for Assessing the Fit of a Logistic Regression Model
• Determining the Relative Importance of Predictors in Logistic Regression
• An Extension of Relative Weight Analysis
• Loss of Power in Logistic, Ordinal Logistic and Probit Regression When an Outcome Variable Is Coarsely Categorized
• Using Heterogeneous Choice Models to Compare Logit and Probit Co-Efficients across Groups
• Large-Scale Regression-Based Pattern Discovery
• The Example of Screening the WHO Global Drug Safety Database
• Modeling Local Non-Linear Correlations Using Subspace Principal Curves
• A Primer for Social Worker Researchers on How to Conduct a Multinomial Logistic Regression
• The Effect of Childhood Maltreatment on Adult Criminality
• A Tobit Regression Analysis
• MULTILEVEL REGRESSION MODELING (MLM)
• Multiple-Level Regression Analysis of Survey and Ecological Data
• Broadening the Scope of Regression Analysis
• Multilevel Modeling
• Overview and Applications to Research in Counseling Psychology
• Acceptance of Other Religions in the United States
• An HLM Analysis of Variability across Congregations
• Multilevel Modeling of Social Segregation
• A New Approach for Estimating a Non-Linear Growth Component in Multilevel Modeling
• Addressing Data Sparseness in Contextual Population Research
• Using Cluster Analysis to Create Synthetic Neighborhoods
• Effect Sizes in Three-Level Cluster-Randomized Experiments
• VOLUME THREE: DATA TRANSFORMATIONS, CURVILINEAR REGRESSION, AND LOGISTIC AGGRESSION
• EXPLORATORY AND CONFIRMATORY FACTOR ANALYSIS
• Multiple Factor Analysis
• Use of Exploratory Factor Analysis in Published Research
• Common Errors and Some Comment on Improved Practice
• The Quality of Factor Solutions in Exploratory Factor Analysis
• The Influence of Sample Size, Communality and Over-Determination
• Monte Carlo Experiments
• Design and Implementation
• Rotation Criteria and Hypothesis-Testing for Exploratory Factor Analysis
• Implications for Factor Pattern Loadings and Inter-Factor Correlations
• Current Methodological Considerations in Exploratory and Confirmatory Factor Analysis
• Reporting Practices in Confirmatory Factor Analysis
• An Overview and Some Recommendations
• The Desirability of Using Confirmatory Factor Analysis on Published Scales
• Measurement Invariance of Personality Traits from a Five-Factor Model Perspective
• Multigroup Confirmatory Factor Analyses of the HP5 Inventory
• Comparing Groups on Latent Variables
• A Structural Equation Modeling Approach
• Higher Order Factor Structure of a Self-Control Test
• Evidence from Confirmatory Factor Analysis with Polychoric Correlations
• Confirmatory Factor Analysis with Different Correlation Types and Estimation Methods
• Latent Class Models in Social Work
• Regression Mixture Models of Alcohol Use and Risky Sexual Behavior among Criminally Involved Adolescents
• VOLUME FOUR: MULTI-LEVEL REGRESSION MODELING, STRUCTURAL EQUATION MODELING AND MIXED REGRESSION
• STRUCTURAL EQUATION MODELING (SEM) AND LATENT CLASS MODELING
• Correlation and Causation
• Can Scientifically Useful Hypotheses Be Tested with Correlations?
• Latent Variables in Psychology and the Social Sciences
• A General Method for Analysis of Covariance Structures
• Estimation in SEM
• A Concrete Example
• The General Linear Model as Structural Equation Modeling
• Advanced Applications of Structural Equation Modeling in Counseling Psychology Research
• Applications of Structural Equation Modeling in Psychological Research
• Using Structural Equation Modeling with Forensic Samples
• Introduction to Structural Equation Modeling
• Issues and Practical Considerations
• Structural Equation Modeling
• Reviewing the Basics and Moving forward
• The Presence of Equivalent Models in Strategic Management Research Using Structural Equation Modeling
• Assessing and Addressing the Problem
• Missing Data Techniques for Structural Equation Modeling
• Working with Missing Values
• Modeling Strategies
• In Search of the Holy Grail
• On Tests and Indices for Evaluating Structural Models
• The Reliability Paradox in Assessing Structural Relations within Covariance Structure Models
• Moderation and Mediation in Structural Equation Modeling
• Applications for Early Intervention Research
• Methods for Integrating Moderation and Mediation
• A General Analytical Framework Using Moderated Path Analysis
• Latent Variable Interaction Modeling
• Structural Equation Models of Latent Interactions
• Clarification of Orthogonalizing and Double-Mean-Centering Strategies
• Parenting Efficacy and the Early School Adjustment of Poor and Near-Poor Black Children
• Neighborhood Social Disorganization, Families and the Educational Behavior of Adolescents
• Intervention Effects on College Performance and Retention as Mediated by Motivational, Emotional and Social Control Factors
• Integrated Meta-Analytic Path Analyses