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基本説明
Offers creative solutions to a number of methodological challenge in research centered on gifted children.
Full Description
Bruce Thompson and Rena F. Subotnik have gathered a distinguished group of pioneers in measurement and statistics to offer creative solutions to a number of methodological challenges in research centered on gifted children.
Contents
Contributors
Foreword
-Robert J. Sternberg
Introduction: A Promising Future for Research in Gifted Education
-Rena F. Subotnik and Bruce Thompson
I. Advanced Techniques
Use of Factor Analysis Techniques in the Study of Giftedness
-Robin K. Henson
Q-Technique Factor Analysis as a Vehicle to Intensively Study Especially Interesting People
-Bruce Thompson
p Values Versus Confidence Intervals as Warrants for Conclusions That Results Will Replicate
-Geoff Cumming
Statistical Significance, Result Worthiness and Evidence: What Lessons Are There for Giftedness Education in Oother Disciplines?
-Fiona Fidler
Reliability Generalization Methods in the Context of Giftedness Research
-Kevin M. Kieffer, Robert J. Reese, and Tammi Vacha-Haase
Mixed Data Collection and Analysis for Conducting Research on Giftedness and Beyond
-Anthony J. Onwuegbuzie, Kathleen M. T. Collins, Nancy L. Leech and Qun G. Jiao
II. Complex Analyses
Promise and Pitfalls of Structural Equation Modeling in Gifted Research
-Rex B. Kline
Hierarchical Linear Modeling Applications in the Context of Giftedness Research
-J. Kyle Roberts, Kim Nimon, and Lindsey Martin
Contemporary Methods for Handling Missing Data in Observational Studies of Giftedness
-Jason E. King and Brian G. Dates
III. Reflections From Leaders in the Field
Two Perspectives on Statistics in Gifted Education
-Paula Olszewski-Kubilius
Moving the Field of Gifted Studies Toward Increasingly Sophisticated Approaches to Research: An Homage to Michael Pyryt
-Tracy L. Cross and Jennifer R. Cross
Research Methods for Gifted Studies: Comments and Future Directions
-D. Betsy McCoach
Index
About the Editors
