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Home > Society and Social Sciences > Education > Educational administration and organization > Real Data Analysis: Issues, Research and Teaching.(Quantitative Methods in Education and the Behavioral Sciences: Issues, Research, and Teaching)
Real Data Analysis: Issues, Research and Teaching.(Quantitative Methods in Education and the Behavioral Sciences: Issues, Research, and Teaching)

Real Data Analysis: Issues, Research and Teaching.(Quantitative Methods in Education and the Behavioral Sciences: Issues, Research, and Teaching)


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About the Book

The invited authors of this edited volume have been prolific in the arena of Real Data Analysis (RDA) as it applies to the social and behavioral sciences, especially in the disciplines of education and psychology. Combined, this brain trust represents 3,247 articles in refereed journals, 127 books published, US $45.3 Million in extramural research funding, 34 teaching and 92 research awards, serve(d) as Editor/Assistant Editor/Editorial Board Member for 95 peer reviewed journals, and provide (d) ad hoc reviews for 362 journals. Their enormous footprint on real data analysis is showcased for professors, researchers, educators, administrators, and graduate students in the second text in the AERA/SIG ES Quantitative Methods series.



Table of Contents:

Preface; Shlomo S. Sawilowsky.
Part I. Foundations.
Chapter 1. The Co-Evolution of Statistics and Hz; Joseph M. Hilbe.
Chapter 2. Effective Sample Size: A Crucial Concept; Thomas R. Knapp.
Chapter 3. Advances in Missing Data Methods and Implications for Educational Research; Chao-Ying Joanne Peng, Michael Harwell, Show-Mann Liou, Lee H. Ehman.
Chapter 4. Methods for Simulating Real World Data for the Psycho-Educational Sciences; Todd Christopher Headrick.
Chapter 5. How and Why I Use Real, Messy Data to Investigate Theory and Inform Decision Making; Ted Micceri.
Part II. Statistical Methods.
Schuyler Huck.
Chapter 7. Randomization Tests: Statistical Tools for Assessing the Effects of Educational Interventions When Resources Are Scarce; Joel R. Levin.
Chapter 8. A Skipped Multivariate Measure of Location: One- and Two-Sample Hypothesis Testing; Rand R. Wilcox, H. J. Keselman.
Chapter 9. Robust Step-Down Tests for Multivariate Group Differences; Lisa M. Lix, Ian Clara, Aynslie Hinds, Charles Bernstein.
Chapter 10. Dunn-Sidák Critical Values and p Values; Roger E. Kirk, Joel Hetzer.
Chapter 11. Controlling Experiment-Wise Type I Errors: Good Advice for Simultaneous and Sequential Hypothesis Testing; Shlomo S. Sawilowsky, Patric R. Spence.
Chapter 12. Robustness and Power of Ordinal d for Paired Data; Du Feng.
Chapter 13. Factorial ANOVA in SPSS: Fixed-, Random-, and Mixed-Effects Models; Richard G. Lomax, Stacy Hughey Surman.
Chapter 14. ANOVA: Effect Sizes, Simulating Interaction vs. Main Effects, and a Modified ANOVA Table; Shlomo S. Sawilowsky.
Chapter 15. ANCOVA and Quasi-Experimental Design: The Legacy of Campbell and Stanley; Shlomo S. Sawilowsky.
Part III. Measurement:
Chapter 16. Thinking About Item Response Theory from a Logistic Regression Perspective: A Focus on Polytomous Models; Amery D. Wu, Bruno D. Zumbo.
Chapter 17. Some Practical Uses of Item Response Time to Improve the Quality of Low-Stakes Achievement Test Data; Steven L. Wise, Xiaojing Kong.
Chapter 18. Using Moving Averages to Detect Exposed Test Items in Computer-Based Testing; Ning Han, Ronald K. Hambleton.
Chapter 19. An Empirical Calibration of the Effects of Multiple Sources of Measurement Error on Reliability Estimates for Individual Differences Measures; Frank L. Schmidt, Huy Ahn Le.
Chapter 20. Latent Structure of Attitudes Toward Abortion; C. Mitchell Dayton.
Part IV. Data Analysis.
Chapter 21. Hierarchical Linear Models and the Estimation of Students' Mathematics Achievement; Kathrin A. Parks, Dudley L. Poston, Jr.
Chapter 22. Grade Inflation: An Examination at the Institutional Level; Sharon L. Weinberg.
Chapter 23. Using Discrete-Time Survival Analysis to Study Gender Differences in Leaving Mathematics; Suzanne E. Graham, Judith D. Singer.
Chapter 24. Nonparametric Procedures for Testing for Dropout Rates on University Courses with Application to an Italian Case Study; Rosa Arboretti Giancristofaro, Fortunato Pesarin, Luigi Salmaso, Aldo Solari.
Chapter 25. Nonparametric Approaches for Multivariate Testing with Mixed Variables and for Ranking on Ordered Categorical Variables with an Application to the Evaluation of Ph.D. Programs; Rosa Arboretti Giancristofaro, Fortunato Pesarin, Luigi Salmaso.
Chapter 26. Randomized Replicated Single-Case Experiments: Treatment of Pain-Related Fear by Graded Exposure In Vivo; Patrick Onghena, Johan W. S. Vlaeyen, Jeroen de Jong.
Chapter 27. Whole Brain Correlations: Examining Similarity Across Conditions of Overall Patterns of Neural Activation in fMRI; Arthur Aron, Susan Whitfield, Wemara Lichty.
Chapter 28. Principal Component Analysis of Senate Voting Patterns; Jan de Leeuw


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Product Details
  • ISBN-13: 9781607525783
  • Publisher: Emerald Publishing Inc
  • Publisher Imprint: Information Age Publishing
  • Language: English
  • Series Title: Quantitative Methods in Education and the Behavioral Sciences: Issues, Research, and Teaching
  • ISBN-10: 160752578X
  • Publisher Date: 15 Dec 2006
  • Binding: Digital download
  • No of Pages: 444
  • Sub Title: Issues, Research and Teaching.


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