Best practices in quantitative methods / edited by Jason W. Osborne.

Includes bibliographical references and index.

Introduction / Jason W. Osborne -- Part I. Best Practices in Measurement -- 1. : The New Stats: Attitudes for the Twenty-First Century / Fiona Fidler & Geoff Cumming -- 2. : Using Criterion-Referenced Assessments for Setting Standards and Making Decisions: Some Conceptual & Technical Issues / Thomas Kellow & Victor Willson -- 3. : Best Practices in Inter-rater Reliability: Assumptions and Implications of three common approaches / Steve Stemler -- 4. : An Introduction to Rasch Measurement / Cherdsak Iramaneerat, Everett V. Smith, Jr., & Richard M. Smith -- 5. : Applications of the Multi-Faceted Rasch Model / Edward W. Wolfe & Lidia Dobria -- 6. : Best Practices in Exploratory Factor Analysis / Jason W. Osborne, Anna B. Costello, & J. Thomas Kellow -- Part II. Selected Best Practices in Research Design -- 7. : A Rational Foundation for Scientific Decisions: The Case for the Probability of Replication Statistic / Peter R. Killeen -- 8. : Best Practices in Mixed Methods Research / Jessica T. DeCuir-Gunby -- 9. : Designing a Rigorous Small Sample Study / Naomi Jeffery Petersen -- 10. : Replication in Field Studies / William D. Schafer -- 11. : Best practices in ANCOVA may mean not using ANCOVA: Why paired subjects designs are a better choice / Elizabeth A. Stuart & Donald B. Rubin -- 12. : Fixed and Mixed Effects Models in Meta-Analysis / Spyros Konstantopoulos -- Part III. Best Practices in Data Cleaning and the Basics of Data Analysis -- 13. :Best Practices in Data Transformations: The Overlooked Effect of Minimum Values / Jason W. Osborne -- 14. : Best Practices in Data Cleaning: How Outliers can increase error rates and decrease the quality and precision of your results / Jason W. Osborne & Amy Overbay -- 15. : How to Deal With Missing Data / Jason C. Cole -- 16. : Is Disattenuation of Effects a Best Practice? / Jason W. Osborne -- 17. : Computing and Interpreting Effect Sizes, Confidence Intervals, & Confidence Intervals for Effect Sizes / Bruce Thompson -- 18. : Robust Methods for Detecting Associations / Rand R. Wilcox -- Part IV. Best Practices of Quantitative Methods -- 19. : Resampling: A Conceptual and Procedural Introduction / Chong Ho Yu -- 20. : Creating Valid Prediction Equations in Multiple Regression: Shrinkage, Double Cross-Validation, and Confidence Intervals around Predictions / Jason W. Osborne -- 21. : Using Poisson Regression to Analyze Count Data / E. Michael Nussbaum, Sherif Elsadat, & Ahmed H. Khago -- 22. : Testing the Assumptions of Analysis of Variance / Yanyan Sheng -- 23. : Best Practices in ANOVA / David Howell -- 24. : Logistic Regression in the Social Sciences / Jason E. King -- 25. : Bringing balance and accuracy to odds ratios / Jason W. Osborne -- 26. : Advanced Topics in Logistic Regression: Polytomous Response Variables / Carolyn J. Anderson & Leslie Rutkowski -- 27. : Enhancing Accuracy in Research Using Regression Mixture Analysis / Cody S. Ding -- 28. : Mediation, Moderation, and the Study of Individual Differences / A. Alexander Beaujean -- Part V. Best Advanced Practices in Quantitative Methods -- 29. : Hierarchical Linear Modeling: What it is and when Researchers should use it / Jason W. Osborne -- 30. : Analysis of longitudinal data: Advantages of Hierarchical Linear Modeling and growth curve analysis over repeated measures ANOVA / Frans E.S. Tan -- 31. : Analysis of Moderator Effects in Meta-Analysis / Wolfgang Viechtbauer -- 32. : Best Practices in Structural Equation Modeling / Ralph O. Mueller & Gregory R. Hancock -- 33. : Introduction to Bayesian Modeling for Social Sciences / Gianluca Baio & Marta Blangiardo -- 34. : Using R for Data Analysis: A Best Practice for Research / Ken Kelley, Keke Lai, & Po-Ju Wu -- 35. : Best Practices in Quasi-Experimental Designs: Matching Methods for Causal Inference / Elizabeth A. Stuart & Donald B. Rubin.

Machine converted from AACR2 source record.