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Author: Esther Sui Chu Ho
Publisher: The Chinese University of Hong Kong Press
ISBN: 9628908448
Category : Education
Languages : en
Pages : 292
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Book Description
Multilevel analysis can help to get deeper insights into factors that may have impact on schooling outcomes assessed in PISA. In this book, multilevel analysis is applied by linking student performance to the structure and processes of both the family and the school, the two major social contexts that exert powerful influence on young people. Essential/important policy issues including parental involvement, school decentralization, and medium of instruction are examined, and the possible relationship between these policies and student's achievement in light of the evidence collected in the first three cycles of the PISA study is explored. Besides, appreciating how researchers have used multilevel analysis in a variety of ways would be an effective path to learn it. The analysis in this book will add significantly to the storehouse of knowledge about the application of multilevel analysis in assessing the quality and equality of education in East Asian societies. The findings thereof would also serve as useful references for researchers, policymakers, school administrators, and teachers.
Author: Esther Sui Chu Ho
Publisher: The Chinese University of Hong Kong Press
ISBN: 9628908448
Category : Education
Languages : en
Pages : 292
Get Book Here
Book Description
Multilevel analysis can help to get deeper insights into factors that may have impact on schooling outcomes assessed in PISA. In this book, multilevel analysis is applied by linking student performance to the structure and processes of both the family and the school, the two major social contexts that exert powerful influence on young people. Essential/important policy issues including parental involvement, school decentralization, and medium of instruction are examined, and the possible relationship between these policies and student's achievement in light of the evidence collected in the first three cycles of the PISA study is explored. Besides, appreciating how researchers have used multilevel analysis in a variety of ways would be an effective path to learn it. The analysis in this book will add significantly to the storehouse of knowledge about the application of multilevel analysis in assessing the quality and equality of education in East Asian societies. The findings thereof would also serve as useful references for researchers, policymakers, school administrators, and teachers.
Author: Esther Sui-chu Ho
Publisher:
ISBN: 9789628908479
Category : EDUCATION
Languages : en
Pages : 277
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Book Description
Multilevel analysis can help to get deeper insights into factors that may have impact on schooling outcomes assessed in PISA. In this book, multilevel analysis is applied by linking student performance to the structure and processes of both the family and the school, the two major social contexts that exert powerful influence on young people. Essential/important policy issues including parental involvement, school decentralization, and medium of instruction are examined, and the possible relationship between these policies and student's achievement in light of the evidence collected in the first three cycles of the PISA study is explored. Besides, appreciating how researchers have used multilevel analysis in a variety of ways would be an effective path to learn it. The analysis in this book will add significantly to the storehouse of knowledge about the application of multilevel analysis in assessing the quality and equality of education in East Asian societies. The findings thereof would also serve as useful references for researchers, policymakers, school administrators, and teachers.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264056270
Category :
Languages : en
Pages : 478
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Book Description
This publication includes detailed information on how to analyse the PISA data, enabling researchers to both reproduce the initial results and to undertake further analyses.
Author:
Publisher: Org. for Economic Cooperation & Development
ISBN:
Category : Business & Economics
Languages : en
Pages : 484
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Book Description
Rev. ed. of: PISA 2003 data analysis manual. SPSS users. c2005.
Author: Myint Swe Khine
Publisher: Springer Nature
ISBN: 9811691428
Category : Education
Languages : en
Pages : 419
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Book Description
This edited volume documents attempts to conduct systematic and prodigious research using multilevel analysis in educational settings, and present their findings and identify future research directions. It showcases the versatility of multilevel analysis, and elucidates the unique advantages in examining complex and wide-ranging educational issues. This book brings together leading experts around the world to share their works in the field, highlighting recent advances, creative and unique approaches, and innovative methods using multilevel modeling and theoretical and practical aspects of multilevel analysis in culturally and linguistically-diverse educational contexts.
Author: Jeffrey R. Harring
Publisher: IAP
ISBN: 1681233290
Category : Education
Languages : en
Pages : 413
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Book Description
The significance that practitioners are placing on the use of multilevel models is undeniable as researchers want to both accurately partition variance stemming from complex sampling designs and understand relations within and between variables describing the hierarchical levels of these nested data structures. Simply scan the applied literature and one can see evidence of this trend by noticing the number of articles adopting multilevel models as their primary modeling framework. Helping to drive the popularity of their use, governmental funding agencies continue to advocate the use of multilevel models as part of a comprehensive analytic strategy for conducting rigorous and relevant research to improve our nation’s education system. Advances in Multilevel Modeling for Educational Research: Addressing Practical Issues Found in Real?World Applications is a resource intended for advanced graduate students, faculty and/or researchers interested in multilevel data analysis, especially in education, social and behavioral sciences. The chapters are written by prominent methodological researchers across diverse research domains such as educational statistics, quantitative psychology, and psychometrics. Each chapter exposes the reader to some of the latest methodological innovations, refinements and state?of?the?art developments and perspectives in the analysis of multilevel data including current best practices of standard techniques. We believe this volume will be particularly appealing to researchers in domains including but not limited to: educational policy and administration, educational psychology including school psychology and special education, and clinical psychology. In fact, we believe this volume will be a desirable resource for any research area that uses hierarchically nested data. The book will likely be attractive to applied and methodological researchers in several professional organizations such as the American Educational Research Association (AERA), the American Psychological Association (APA), the American Psychological Society (APS), the Society for Research on Educational Effectiveness (SREE), and other related organizations.
Author: Tom A B Snijders
Publisher: SAGE
ISBN: 144625433X
Category : Reference
Languages : en
Pages : 369
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Book Description
The Second Edition of this classic text introduces the main methods, techniques and issues involved in carrying out multilevel modeling and analysis. Snijders and Bosker′s book is an applied, authoritative and accessible introduction to the topic, providing readers with a clear conceptual and practical understanding of all the main issues involved in designing multilevel studies and conducting multilevel analysis. This book provides step-by-step coverage of: • multilevel theories • ecological fallacies • the hierarchical linear model • testing and model specification • heteroscedasticity • study designs • longitudinal data • multivariate multilevel models • discrete dependent variables There are also new chapters on: • missing data • multilevel modeling and survey weights • Bayesian and MCMC estimation and latent-class models. This book has been comprehensively revised and updated since the last edition, and now discusses modeling using HLM, MLwiN, SAS, Stata including GLLAMM, R, SPSS, Mplus, WinBugs, Latent Gold, and SuperMix. This is a must-have text for any student, teacher or researcher with an interest in conducting or understanding multilevel analysis. Tom A.B. Snijders is Professor of Statistics in the Social Sciences at the University of Oxford and Professor of Statistics and Methodology at the University of Groningen. Roel J. Bosker is Professor of Education and Director of GION, Groningen Institute for Educational Research, at the University of Groningen.
Author: Osvaldo Gervasi
Publisher: Springer Nature
ISBN: 3030588084
Category : Computers
Languages : en
Pages : 1062
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Book Description
The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020. Due to COVID-19 pandemic the conference was organized in an online event. Computational Science is the main pillar of most of the present research, industrial and commercial applications, and plays a unique role in exploiting ICT innovative technologies. The 466 full papers and 32 short papers presented were carefully reviewed and selected from 1450 submissions. Apart from the general track, ICCSA 2020 also include 52 workshops, in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as software engineering, security, machine learning and artificial intelligence, blockchain technologies, and of applications in many fields.
Author: Tom A. B. Snijders
Publisher: SAGE
ISBN: 9780761958901
Category : Mathematics
Languages : en
Pages : 282
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Book Description
Multilevel analysis covers all the main methods, techniques and issues for carrying out multilevel modeling and analysis. The approach is applied, and less mathematical than many other textbooks.
Author: Jie HU
Publisher: Taylor & Francis
ISBN: 1000820009
Category : Education
Languages : en
Pages : 172
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Book Description
This book provides a systematic study of the Programme for International Student Assessment (PISA) based on big data analysis, aiming to examine the contextual factors relevant to students’ digital reading performance. The author first introduces the research landscape of educational data mining (EDM) and reviews the PISA framework since its launch and how it has become an important metric to assess the knowledge and skills of students from across the globe. With a focus on methodology and its applications, the book explores extant scholarship on the dynamic model of educational effectiveness, multi-level factors of digital reading performance, and the application of EDM approaches. The core chapter on the methodology examines machine learning algorithms, hierarchical linear modeling, mediation analysis, and data extraction and processing for the PISA dataset. The findings give insights into the influencing factors of students’ digital reading performance, allowing for further investigations on improving students’ digital reading literacy and more attention to the advancement of education effectiveness. The book will appeal to scholars, professionals, and policymakers interested in reading education, educational data mining, educational technology, and PISA, as well as students learning how to utilize machine learning algorithms in examining the mass global database.
