Introduction - Jason W. Osborne Chapter 1: The New Stats: Attitudes for the Twenty-First Century - Cherdsak Iramaneerat, Everett V. Smith, Jr., & Richard M. Smith Part I: Best Practices in Measurement Part I: Best Practices in Measurement - Jason Osborne Chapter 2: Using Criterion-Referenced Assessments for Setting Standards and Making Decisions: Some Conceptual & Technical Issues - Thomas Kellow & Victor Willson Chapter 3: Estimating Inter-Rater Reliability: Assumptions and Implications of Three Common Approaches - Gianluca Baio & Marta Blangiardo Chapter 4: An Introduction to Rasch Measurement - Jason W. Osborne Chapter 5: Applications of the Multi-Faceted Rasch Model - Peter R. Killeen Chapter 6: Best Practices in Exploratory Factor Analysis - Jason W. Osborne Part II: Selected Best Practices in Research Design Chapter 7: Replication Statistics - Jason W. Osborne Chapter 8: Mixed Methods Research in the Social Sciences - Wolfgang Viechtbauer Chapter 9: Designing a Rigorous Small Sample Study - Bruce Thompson Chapter 11: Best Practices in Quasi-Experimental Designs: Matching Methods for Causal Inference - Elizabeth A. Stuart & Donald B. Rubin Chapter 12: An Introduction to Meta-Analysis - Ken Kelley, Keke Lai, & Po-Ju Wu Chapter 12: Fixed and Mixed Effects Models in Meta-Analysis - Spyros Konstantopoulos Part III: Best Practices in Data Cleaning and the Basics of Data Analysis Chapter 14: Best Practices in Data Cleaning: How Outliers and "Fringeliers" Can Increase Error Rates and Decrease the Quality and Precision of Your Results - Edward W. Wolfe & Lidia Dobria Chapter 15: How to Deal with Missing Data: Conceptual Overview and Details for Implementing Two Modern Methods - Naomi Jeffery Petersen Chapter 16: Using Criterion-Referenced Assessments for Setting Standards and Making Decisions: Some Conceptual and Technical Issues - Jason C. Cole Chapter 17: Computing and Interpreting Effect Sizes, Confidence Intervals, and Confidence Intervals for Effect Sizes - Elizabeth A. Stuart & Donald B. Rubin Chapter 18: Robust Methods for Detecting and Describing Associations - Jason W. Osborne Part IV: Best Practices of Quantitative Methods Chapter 19: Resampling: A Conceptual and Procedural Introduction - Jason W. Osborne Chapter 21: Advanced Topics in Power Analysis - Rand R. Wilcox Chapter 21: Best Practices in Analyzing Count Data: Poisson Regression - Jason W. Osborne & Amy Overbay Chapter 22: Testing the Assumptions of Analysis of Variance - Chong Ho Yu Chapter 23: Best Practices in the Analysis of Variance - Jason W. Osborne Chapter 24: Binary Logistic Regression - E. Michael Nussbaum, Sherif Elsadat, & Ahmed H. Khago Chapter 26: Multinomial Logistic Regression - Yanyan Sheng Chapter 27: Mediation, Moderation, and the Study of Individual Differences - David Howell Chapter 28: Mediation, Moderation, and the Study of Individual Differences - A. Alexander Beaujean Part V: Best Advanced Practices in Quantitative Methods Chapter 30: Hierarchical Linear Modeling: What It is and When Researchers Should Use It - Carolyn J. Anderson & Leslie Rutkowski Chapter 30: Best Practices in Analysis of Longitudinal Data: A Multilevel Approach - Cody S. Ding Chapter 32: Best Practices in Structural Equation Modeling - Jason W. Osborne Chapter 33: Introduction to Bayesian Modeling for the Social Sciences - Jason W. Osborne Chapter 35: Measuring Accuracy in Psychological Research - Frans E.S. Tan Chapter 37: Ethical Implications for Best Practices in Quantitative Methods - Ralph O. Mueller & Gregory R. Hancock (Dropped) Chapter 4: Best Practices in Graphically Displaying Data - Jason W. Osborne, Anna B. Costello, & J. Thomas Kellow (Dropped) Chapter 7: Choosing a Demoninator - Jessica T. DeCuir-Gunby (Dropped) Chapter 9: Four Assumptions of Multiple Regression You Should ALWAYS Check - William D. Schafer (Dropped) Chapter 28: An Introduction to Item Response Theory - Jason E. King (Dropped) A Framework for Model Building in Social Science Research - Steve Stemler
Jason W. Osborne is Associate Provost and Dean of the Graduate School at Clemson University in Clemson, South Carolina. He is also Professor of Applied Statistics in the Department of Mathematical Sciences, with a secondary appointment in Public Health Science. He teaches and publishes on "best practices" in quantitative and applied research methods. He has served as evaluator or consultant on projects in public education (K-12), instructional technology, higher education, nursing and health care, medicine and medical training, epidemiology, business and marketing, and jury selection in death penalty cases. He served as founding editor of Frontiers in Quantitative Psychology and Measurement and has been on the editorial boards of several other journals (such as Practical Assessment, Research, and Evaluation). Jason also publishes on identification with academics (how a student's self-concept impacts motivation to succeed in academics) and on issues related to social justice and diversity (such as Stereotype Threat). He is the very proud father of three, and holds the rank of third degree black belt in Songahm Tae Kwon Do. The rest is subject to change without notice (as Anne McCaffrey wrote in her bio).