Best practices in quantitative methods / edited by Jason W. Osborne.
This edited work is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource to go to for practical and sound advice from leading experts in quantitative methods.
Saved in:
| Other Authors: | |
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| Format: | Book |
| Language: | English |
| Published: |
Thousand Oaks, Calif. :
Sage Publications,
[2008]
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| Subjects: |
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| 245 | 0 | 0 | |a Best practices in quantitative methods / |c edited by Jason W. Osborne. |
| 264 | 1 | |a Thousand Oaks, Calif. : |b Sage Publications, |c [2008] | |
| 264 | 4 | |c ©2008 | |
| 300 | |a xii, 596 pages : |b illustrations ; |c 26 cm | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Introduction Using Best Practices in Research is an ethical obligation. Jason Osborne -- 1. The new stats: Attitudes for the twenty-first century Fiona Fidler and Geoff Cumming, LaTrobe University -- PART I: BEST PRACTICES IN MEASUREMENT -- 2. Using criterion-referenced assessments for setting standards andÿmaking decisions: Some conceptual and technical issues Thomas Kellow and Victor Willson -- 3. Estimating inter-rater reliability: Assumptions and implications of three common approaches Steve Stemler -- 4. An introduction to Rasch Measurement -- Cherdsak Iramaneerat, Everett V. Smith, Jr., and Richard M. Smith -- 5. Applications of the Multi-Faceted Rasch Model -- Edward W. Wolfe and Lidia Dobria -- 6. Best Practices in Exploratory Factor Analysis -- Jason W. Osborne, Anna B. Costello, and 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 Killeen. | |
| 505 | 0 | |a 8. Best practices in Mixed Methods research Jessica DeCuir -- 9. Designing a Rigorous Small-Sample Study -- Naomi Jeffery Petersen -- 10. Replication in field studies William Shafer -- 11. Best practices in ANCOVA may mean not using ANCOVA: Why paired subjects designs are a better choice Elizabeth Stuart and Donald 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, and Amy Overbay -- 15. How to deal with missing data Jason C. Cole -- 16. Is Disattenuation of effects a best practice? | |
| 505 | 0 | |a Jason W. Osborne, 17. Computing and interpreting effect sizes, confidence intervals, and confidence intervals for effect sizes Bruce Thompson -- 18. Robust methods for detecting associations Rand Wilcox -- PART IV: BEST PRACTICES 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 and Ahmed 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 King -- 25. Bringing balance and accuracy to odds ratios Jason Osborne -- 26. Advanced Topics in Logistic Regression: Polytomous Response Variables -- Carolyn Anderson and Leslie Rutkowski. | |
| 505 | 0 | |a 27. Enhancing Accuracy in Research Using Regression Mixture Analysis -- Cody Ding -- 28. Mediation, Moderation, and the Study of Individual Differences -- A. Alexander Beaujean -- PART V: BEST ADVANCED PRACTICES 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 Tan -- 31. Analysis of Moderator effects in Meta-Analysis -- Wolfgang Viechtbauer -- 32. Best practices in Structural Equation Modeling -- Ralph Mueller and Gregory Hancock -- 33. Introduction to Bayesian estimation for social scientists Gianluca Biao and Marta Blangiardo -- 34. Using R for Data Analysis:A Best Practice for Research -- Ken Kelley, Keke Lai, and Po-Ju Wu. | |
| 520 | |a This edited work is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource to go to for practical and sound advice from leading experts in quantitative methods. | ||
| 583 | 1 | |a Self-Renewing |c 2017 |5 UoY | |
| 650 | 0 | |a Social sciences |x Research |x Methodology. |0 sh2008111864 | |
| 650 | 0 | |a Social sciences |x Mathematical models. |0 sh2008111800 | |
| 700 | 1 | |a Osborne, Jason W. |0 n 2007034384 | |
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