ISBN:
9789400744585
Language:
English
Pages:
Online-Ressource (XXII, 221 p. 24 illus, digital)
Series Statement:
SpringerLink
Series Statement:
Bücher
Parallel Title:
Buchausg. u.d.T. Research on PISA
Keywords:
Mathematics
;
Science Study and teaching
;
Educational tests and measurements
;
Educational psychology
;
Literacy
;
Education
;
Education
;
Mathematics
;
Science Study and teaching
;
Educational tests and measurements
;
Educational psychology
;
Literacy
;
Konferenzschrift 2009
;
PISA-Studie
Abstract:
The Programme for International Student Assessment (PISA) is an important part of the OECD's Indicator Programme. It collects data and provides comparative indicators of education systems in OECD member and partner countries. PISA provides datasets of outstanding quality regarding samples, instruments and analyses. In addition to its important function for educational monitoring, the PISA datasets are the basis of a wide range of secondary analyses from a number of different scientific perspectives and disciplines. The aim of this book is to make some of the outstanding PISA related research results available for a wider audience. Specifically four research areas will be focused: (1) Content related research; (2) Methodological research; (3) Context related research; (4) Research on trends in PISA. Each part of the book is devoted to one of these areas and will start with an introduction from a leading expert in the field followed by chapters covering research conducted in this field.
Description / Table of Contents:
Research on PISA; Acknowledgements; Contents; Contributors; Introduction: Research on PISA, with PISA, and for PISA; The Purpose of PISA; Structure of Research on PISA; Research with PISA: How to Extend a PISA Cycle?; Research on PISA: Some Expectations; References; Part I: Content Related Research; Introduction : Content Related Researchon PISA; References; Chapter 1: Implications of PISA Outcomes for Science Curriculum Reform in the Netherlands; 1.1 Introduction; 1.2 Dutch Science Education and the PISA 2006 Scientific Literacy Framework; 1.2.1 The PISA 2009 Scientific Literacy Framework
Description / Table of Contents:
1.2.2 Comparison of Dutch Science Education with the PISA Framework1.2.3 Expected Strengths and Weaknesses of Dutch Students; 1.3 Methods; 1.3.1 Introduction; 1.3.2 Method of Analysis at the Item Level; 1.4 Results; 1.4.1 Strengths and Weaknesses of Dutch Students; 1.4.1.1 Relatively Difficult Items; 1.4.1.2 Relatively Easy Items; 1.4.2 Differences Between Students in General and Vocational Secondary Education; 1.4.3 Analyses of the Attitudinal Scales; 1.5 Conclusions; 1.5.1 Implications for Dutch Science Education; Appendix: PISA items; The Greenhouse Effect: Fact or Fiction?; Mary Montagu
Description / Table of Contents:
The History of VaccinationReferences; Chapter 2: Using Mathematical Competencies to Predict Item Difficulty in PISA: A MEG Study; 2.1 Introduction; 2.2 The Competency Related Variables; 2.3 Analysis of the Application of the MEG Item Difficulty Framework; 2.3.1 Psychometric Quality; 2.3.1.1 Correlation of Variable Average Code Values; 2.3.1.2 Coder Consistency; 2.3.2 Results of Difficulty Analyses; 2.3.2.1 Predicting Variance Explained; 2.3.2.2 Factor Analysis; 2.4 Present Status of the Study; References
Description / Table of Contents:
Chapter 3: PISA Mathematics in Germany: Extending the Conceptual Framework to Enable a More Differentiated Assessment3.1 Introduction; 3.2 The Need to Differentiate: Mathematics Achievement Is Not Homogeneous Across Countries; 3.3 A Model for Mathematical Tasks; 3.4 Features of Mathematical Tasks; 3.5 Profiles of Mathematical Achievement; 3.6 Advantages of Differentiated Assessment; References; Part II: Methodological Research; Introduction: Methodological Research in Large-Scale International Assessments; References; Chapter 4: Modeling Reciprocal Determinism in PISA
Description / Table of Contents:
4.1 Reciprocal Determinism4.1.1 Reciprocal Determinism in PISA; 4.2 Formulating a Nonrecursive Structural Equation Model; 4.2.1 Identification; 4.2.2 Measurement Models; 4.2.3 Estimation; 4.3 Findings; 4.3.1 The Fit Between the Model and the Data; 4.3.2 Parameter Estimates; 4.3.3 Reciprocal Determinism; 4.3.4 Other Influences on Mathematics Self-efficacy and Achievement; 4.4 Modeling Reciprocal Determinism in PISA; References; Chapter 5: The Measurement of Translation Error in PISA-2006 Items: An Application of the Theory of Test Translation Error; 5.1 Theoretical Framework
Description / Table of Contents:
5.1.1 Definition of Translation Error
Note:
Description based upon print version of record
DOI:
10.1007/978-94-007-4458-5
URL:
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