Cognitive Abilities and Educational Outcomes A Festschrift in Honour of Jan-Eric Gustafsson /
This book addresses problems and challenges that face educational measurement at a time when multipurpose usage of observational data from educational assessments, tests and international surveys has become a growing global trend. While the construction of educational measures and use of educational...
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Other Authors: | , , |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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Series: | Methodology of Educational Measurement and Assessment,
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Preface
- 1. Introduction
- PART I: Cognitive Abilities
- 2. What is Fluid Intelligence? Can it be Improved?
- 3. Mind and Intelligence: Integrating Developmental, Psychometric, and Cognitive Theories of Human Mind
- 4. Gender Differences in Broad and Narrow Ability Dimensions. A Confirmatory Factor Analytic Approach
- 5. Exploring Effects of Following Different Tracks of Study in Upper Secondary Education on Performance on a Cognitive Test
- 6. Reflections on (Bi) Factor Analysis
- PART II: Causes and Effects of Educational Achievement
- 7. Searching for Causality to Develop and Test Theoretical Models of Educational Effectiveness Research
- 8. Countries’ Strive towards More Quality and Equity in Education: Success or Failure? Evidence from TIMSS 2003 and 2011, Grade 4
- 9. School Resources and Student Achievement: A Review of Cross-country Economic Research
- 10. A Question of Validity: Clarifying the Hierarchical Nature of Teacher Cognition
- 11. Empirical Puzzles on Effective Teachers: U.S. Research
- PART III: Modelling Measurement Properties
- 12. Measuring Changing Educational Contexts in a Changing World: Evolution of the TIMSS and PIRLS Questionnaires
- 13. General and Specific Factors in Selection Modeling
- 14. CTT and no DIF and ? = (almost) Rasch Model
- 15. Balance: A Neglected Aspect of Reporting Test Results
- 16. Views on Classical Statistical Modelling in Competition with Rasch Methodology
- Appendices.