PISA Data Analysis Manual: SAS, Second Edition PDF Download
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Author: OECD
Publisher: OECD Publishing
ISBN: 9264056254
Category :
Languages : en
Pages : 470
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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: OECD
Publisher: OECD Publishing
ISBN: 9264056254
Category :
Languages : en
Pages : 470
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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: OECD
Publisher: OECD Publishing
ISBN: 9264201130
Category :
Languages : en
Pages : 334
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Book Description
This second volume of PISA 2012 results defines and measures equity in education and analyses how equity in education has evolved across countries between PISA 2003 and 2012.
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: OECD
Publisher: OECD Publishing
ISBN: 9264201157
Category :
Languages : en
Pages : 546
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Book Description
This fourth volume of PISA 2012 results examines how student performance is associated with various characteristics of individual schools and school systems.
Author: Lei Mee Thien
Publisher: Springer
ISBN: 9463004688
Category : Education
Languages : en
Pages : 259
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Book Description
This is the first book regarding the issues of PISA that has been published with respect to the Southeast Asian region. It is hoped that the content of this book can benefit and provide greater understanding for readers of several important aspects: (a) country performance in PISA 2012 for each participating Southeast Asian country, (b) the need for international comparative studies from the perspective at all levels of the teaching and learning process, (c) equity and quality of education, (d) how PISA impacts on policy making, and (e) the initiatives and future directions, and challenges to improve PISA performance in the future cycles of the PISA Studies. The major issues raised in this book warrant investigation and reporting to all countries of the World, including not only those countries that were engaged in PISA 2012, but also to the approximately 200 countries that are currently in the United Nations Organisation. In these regards, the readership of this book could be extended to the educators, officers from the ministries of education, researchers, policy makers, practising teachers, lecturers in universities and teacher training institutions, postgraduate students, as well as both primary and secondary school principals 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: Tom A B Snijders
Publisher: SAGE
ISBN: 1446289605
Category : Reference
Languages : en
Pages : 370
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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: Mack C. Shelley
Publisher: Springer Science & Business Media
ISBN: 1402084277
Category : Education
Languages : en
Pages : 667
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Book Description
Statistical models attempt to describe and quantify relationships between variables. In the models presented in this chapter, there is a response variable (sometimes called dependent variable) and at least one predictor variable (sometimes called independent or explanatory variable). When investigating a possible cause-and-effect type of relationship, the response variable is the putative effect and the predictors are the hypothesized causes. Typically, there is a main predictor variable of interest; other predictors in the model are called covariates. Unknown covariates or other independent variables not controlled in an experiment or analysis can affect the dependent or outcome variable and mislead the conclusions made from the inquiry (Bock, Velleman, & De Veaux, 2009). A p value (p) measures the statistical significance of the observed relationship; given the model, p is the probability that a relationship is seen by mere chance. The smaller the p value, the more confident we can be that the pattern seen in the data 2 is not random. In the type of models examined here, the R measures the prop- tion of the variation in the response variable that is explained by the predictors 2 specified in the model; if R is close to 1, then almost all the variation in the response variable has been explained. This measure is also known as the multiple correlation coefficient. Statistical studies can be grouped into two types: experimental and observational.
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.
