Cognitive Abilities and Educational Outcomes

A Festschrift in Honour of Jan-Eric Gustafsson

Häftad, Engelska, 2018

AvMonica Rosén,Kajsa Yang Hansen,Ulrika Wolff,Monica Rosen

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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.

Produktinformation

Utgivningsdatum2018-06-14
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieMethodology of Educational Measurement and Assessment
Antal sidor327
FörlagSpringer International Publishing AG
ISBN9783319828343

Tillhör följande kategorier

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.