Quality Research in Literacy and Science Education (eBook)

Section I: General Introduction. 1. Education Research Meets the 'Gold Standard': Evaluation, Research Methods, and Statistics after No Child Left Behind; M. C. Shelley et al.
Section II: Setting the Agenda: Science Education and Science-based Research
2. Why 'Gold Standard' Needs Another 's': Results from the Gold Standard(s) in Science and Literacy Education Research Conference; L. D. Yore, P. Boscolo. 3. Research and Practice: A Complex Relationship? R. Millar, J. Osborne. 4. Moving Beyond the Gold Standard: Epistemological and Ontological Considerations of Research in Science Literacy; D. E. Alvermann, C. A. Mallozzi. 5. Longitudinal Studies into Science Learning—Methodological Issues; R. W. Tytler. 6. An International Perspective of Monitoring Educational Research Quality: Commonalities and Differences; R. K. Coll et al. 7. Considering Research Quality and Applicability through the Eyes of Stakeholders; D. V. Hayward, L. M. Phillips.
Section III: Curriculum and Pedagogy. 8. Researching Effective Pedagogies for Developing the Literacies of Science: Some Theoretical and Practical Considerations; V. Prain. 9. Pedagogy, Implementation, and Professional Development for Teaching Science Literacy: How Students and Teachers Know and Learn; L. A. Norton-Meier et al. 10. Approaching Classroom Realities: The Use of Mixed Methods and Structural Equation Models in Science Education Research; M. Nieswandt, E. H. McEneaney. 11. Mixed-methodology Research in Science Education: Opportunities and Challenges in Exploring and Enhancing Thinking Dispositions; T. Levin, T. Wagner. 12. New Directions in Science Literacy Education; W. Saul, B.Hand.
Section IV. Statistics, Research Methods, and Science Literacy. 13. Multilevel Modeling with HLM: Taking A Second Look at PISA; J. O. Anderson et al. 14. Methods from Item Response Theory: Going Beyond Traditional Validity and Reliability in Standardizing Assessments; A.G. Froelich. 15. Confounding in Observational Studies using Standardized Test Data: Careful Disentanglement of Statistical Interpretations and Explanations; M. C. Meyer. 16. Predicting Group Membership Using National Assessment of Educational Progress (NAEP) Mathematics Data; D. Walker, S. Mohammed.17. Incorporating Exploratory Methods using Dynamic Graphics into Multivariate Statistics Classes: Curriculum Development; D. Cook. 18. Approaches to Broadening the Statistics Curricula; D. Nolan, D. Temple Lang. 19. Dr. Fox Rocks: Using Data Mining Techniques to Examine Student Ratings of Instruction; M. C. Wang et al. 20. Relating Process Execution to Writing, Reading, and Output Quality of Text: Considering Learner and Task Characteristics; H. van den Bergh et al. 21. Can We Make a Silk Purse from a Sow’s Ear? D. J. Mundfrom.
Section V: Public Policy and 'Gold Standard(s)' Research. 22. Speaking Truth to Power with Powerful Results: Impacting Public Awareness and Public Policy; M. C. Shelley. 23. Funding Patterns and Priorities: An International Perspective; Hsiao-Ching She et al. 24. Research Ethics Boards and the Gold Standard(s) in Science and Literacy Education Research; R. J. Anthony et al. 25. Data Sharing: Disclosure, Confidentiality, and Security; D. J. Dude et al. 26. Stitching the Pieces Together to Reveal the