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Link de la búsquedaStatistical Methods for the Evaluation of Educational Services and Quality of Products / SpringerLink (Online service) ; Paola Monari ; Matilde Bini ; Domenico Piccolo ; Luigi Salmaso (2009)
Título : Statistical Methods for the Evaluation of Educational Services and Quality of Products Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Paola Monari ; Matilde Bini ; Domenico Piccolo ; Luigi Salmaso Editorial: Heidelberg : Physica-Verlag HD Fecha de publicación: 2009 Colección: Contributions to Statistics, ISSN 1431-1968 Número de páginas: XV, 243 p Il.: online resource ISBN/ISSN/DL: 978-3-7908-2385-1 Idioma : Inglés (eng) Palabras clave: Social sciences Mathematical models Probabilities Assessment Statistics Sciences Methodology of the Modeling and Industrial Mathematics Probability Theory Stochastic Processes for Science, Behavorial Education, Public Policy, Law Assessment, Testing Evaluation Clasificación: 51 Matemáticas Resumen: The book presents statistical methods and models that can usefully support the evaluation of educational services and quality of products. The evaluation of educational services, as well as the analysis of judgments and preferences, poses severe methodological challenges because of the presence of the following aspects: the observational nature of the context, which is associated with the problems of selection bias and presence of nuisance factors; the hierarchical structure of the data (multilevel analysis); the multivariate and qualitative nature of the dependent variable; the presence of non observable factors, e.g. the satisfaction, calling for the use of latent variables models; the simultaneous presence of components of pleasure and components of uncertainty in the explication of the judgments, that asks for the specification and estimation of mixture models. The contributions concern methodological advances developed mostly with reference to specific problems of evaluation using real data sets Nota de contenido: Latent variable models for ordinal data -- Issues on item response theory modelling -- Nonlinearity in the analysis of longitudinal data -- Multilevel models for the evaluation of educational institutions: a review -- Multilevel mixture factor models for the evaluation of educational programs#x2019; effectiveness -- A class of statistical models for evaluating services and performances -- Choices and conjoint analysis: critical aspects and recent developments -- Robust diagnostics in university performance studies -- A novel global performance score with an application to the evaluation of new detergents -- Nonparametric tests for the randomized complete block design with ordered categorical variables -- A permutation test for umbrella alternatives -- Nonparametric methods for measuring concordance between rankings: a case study on the evaluation of professional profiles of municipal directors En línea: http://dx.doi.org/10.1007/978-3-7908-2385-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34114 Statistical Methods for the Evaluation of Educational Services and Quality of Products [documento electrónico] / SpringerLink (Online service) ; Paola Monari ; Matilde Bini ; Domenico Piccolo ; Luigi Salmaso . - Heidelberg : Physica-Verlag HD, 2009 . - XV, 243 p : online resource. - (Contributions to Statistics, ISSN 1431-1968) .
ISBN : 978-3-7908-2385-1
Idioma : Inglés (eng)
Palabras clave: Social sciences Mathematical models Probabilities Assessment Statistics Sciences Methodology of the Modeling and Industrial Mathematics Probability Theory Stochastic Processes for Science, Behavorial Education, Public Policy, Law Assessment, Testing Evaluation Clasificación: 51 Matemáticas Resumen: The book presents statistical methods and models that can usefully support the evaluation of educational services and quality of products. The evaluation of educational services, as well as the analysis of judgments and preferences, poses severe methodological challenges because of the presence of the following aspects: the observational nature of the context, which is associated with the problems of selection bias and presence of nuisance factors; the hierarchical structure of the data (multilevel analysis); the multivariate and qualitative nature of the dependent variable; the presence of non observable factors, e.g. the satisfaction, calling for the use of latent variables models; the simultaneous presence of components of pleasure and components of uncertainty in the explication of the judgments, that asks for the specification and estimation of mixture models. The contributions concern methodological advances developed mostly with reference to specific problems of evaluation using real data sets Nota de contenido: Latent variable models for ordinal data -- Issues on item response theory modelling -- Nonlinearity in the analysis of longitudinal data -- Multilevel models for the evaluation of educational institutions: a review -- Multilevel mixture factor models for the evaluation of educational programs#x2019; effectiveness -- A class of statistical models for evaluating services and performances -- Choices and conjoint analysis: critical aspects and recent developments -- Robust diagnostics in university performance studies -- A novel global performance score with an application to the evaluation of new detergents -- Nonparametric tests for the randomized complete block design with ordered categorical variables -- A permutation test for umbrella alternatives -- Nonparametric methods for measuring concordance between rankings: a case study on the evaluation of professional profiles of municipal directors En línea: http://dx.doi.org/10.1007/978-3-7908-2385-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34114 Ejemplares
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Título : Statistical Methods for the Evaluation of University Systems Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Massimo Attanasio ; Vincenza Capursi Editorial: Heidelberg : Physica-Verlag HD Fecha de publicación: 2011 Colección: Contributions to Statistics, ISSN 1431-1968 Número de páginas: XIV, 282 p Il.: online resource ISBN/ISSN/DL: 978-3-7908-2375-2 Idioma : Inglés (eng) Palabras clave: Education Assessment Statistics Social sciences Assessment, Testing and Evaluation for Science, Behavorial Education, Public Policy, Law Methodology of the Sciences Clasificación: 51 Matemáticas Resumen: This book presents a collection of statistical methods and procedures to assess data coming from educational systems. The topics examined include: statistical methods for constructing composite indicators, applied measurements, assessment of educational systems, measurement of the performance of the students at Italian universities, and statistical modeling for questionnaire data. Other issues are the implications of introducing different assessment criteria and procedures to the Italian university system Nota de contenido: Part I - Introduction: Different Perspectives of the Evaluation of the Italian University System -- Part II - The Evaluation in the Italian Universities. Student Teaching Evaluation -- Part III - The Evaluation in the Italian Universities. Statistical Methods for Careers and Services Evaluation -- Part IV - Research Design and data for Evaluation: University between the High School and the Labour Market En línea: http://dx.doi.org/10.1007/978-3-7908-2375-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33447 Statistical Methods for the Evaluation of University Systems [documento electrónico] / SpringerLink (Online service) ; Massimo Attanasio ; Vincenza Capursi . - Heidelberg : Physica-Verlag HD, 2011 . - XIV, 282 p : online resource. - (Contributions to Statistics, ISSN 1431-1968) .
ISBN : 978-3-7908-2375-2
Idioma : Inglés (eng)
Palabras clave: Education Assessment Statistics Social sciences Assessment, Testing and Evaluation for Science, Behavorial Education, Public Policy, Law Methodology of the Sciences Clasificación: 51 Matemáticas Resumen: This book presents a collection of statistical methods and procedures to assess data coming from educational systems. The topics examined include: statistical methods for constructing composite indicators, applied measurements, assessment of educational systems, measurement of the performance of the students at Italian universities, and statistical modeling for questionnaire data. Other issues are the implications of introducing different assessment criteria and procedures to the Italian university system Nota de contenido: Part I - Introduction: Different Perspectives of the Evaluation of the Italian University System -- Part II - The Evaluation in the Italian Universities. Student Teaching Evaluation -- Part III - The Evaluation in the Italian Universities. Statistical Methods for Careers and Services Evaluation -- Part IV - Research Design and data for Evaluation: University between the High School and the Labour Market En línea: http://dx.doi.org/10.1007/978-3-7908-2375-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33447 Ejemplares
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Título : Benchmarking Transaction and Analytical Processing Systems : The Creation of a Mixed Workload Benchmark and its Application Tipo de documento: documento electrónico Autores: Anja Bog ; SpringerLink (Online service) Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2014 Otro editor: Imprint: Springer Colección: In-Memory Data Management Research Número de páginas: XIII, 164 p Il.: online resource ISBN/ISSN/DL: 978-3-642-38070-9 Idioma : Inglés (eng) Palabras clave: Business Information technology Data processing Computer system failures Computers Database management simulation and Management IT in Models Principles System Performance Evaluation Simulation Modeling Clasificación: 658 Empresas. Organización de empresas Resumen: Systems for Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) are currently separate. The potential of the latest technologies and changes in operational and analytical applications over the last decade have given rise to the unification of these systems, which can be of benefit for both workloads. Research and industry have reacted and prototypes of hybrid database systems are now appearing. Benchmarks are the standard method for evaluating, comparing and supporting the development of new database systems. Because of the separation of OLTP and OLAP systems, existing benchmarks are only focused on one or the other. With the rise of hybrid database systems, benchmarks to assess these systems will be needed as well. Based on the examination of existing benchmarks, a new benchmark for hybrid database systems is introduced in this book. It is furthermore used to determine the effect of adding OLAP to an OLTP workload and is applied to analyze the impact of typically used optimizations in the historically separate OLTP and OLAP domains in mixed-workload scenarios Nota de contenido: Introduction -- Part I: Background of Transactional and Analytical Systems in Logical Database Design and Benchmarking -- Part II: Towards a Benchmark for Mixed Workloads and its Application in Evaluating Database Schemas -- Part III: Implementation, Evaluation, and Discussion -- Part IV: Appendix En línea: http://dx.doi.org/10.1007/978-3-642-38070-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36133 Benchmarking Transaction and Analytical Processing Systems : The Creation of a Mixed Workload Benchmark and its Application [documento electrónico] / Anja Bog ; SpringerLink (Online service) . - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014 . - XIII, 164 p : online resource. - (In-Memory Data Management Research) .
ISBN : 978-3-642-38070-9
Idioma : Inglés (eng)
Palabras clave: Business Information technology Data processing Computer system failures Computers Database management simulation and Management IT in Models Principles System Performance Evaluation Simulation Modeling Clasificación: 658 Empresas. Organización de empresas Resumen: Systems for Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) are currently separate. The potential of the latest technologies and changes in operational and analytical applications over the last decade have given rise to the unification of these systems, which can be of benefit for both workloads. Research and industry have reacted and prototypes of hybrid database systems are now appearing. Benchmarks are the standard method for evaluating, comparing and supporting the development of new database systems. Because of the separation of OLTP and OLAP systems, existing benchmarks are only focused on one or the other. With the rise of hybrid database systems, benchmarks to assess these systems will be needed as well. Based on the examination of existing benchmarks, a new benchmark for hybrid database systems is introduced in this book. It is furthermore used to determine the effect of adding OLAP to an OLTP workload and is applied to analyze the impact of typically used optimizations in the historically separate OLTP and OLAP domains in mixed-workload scenarios Nota de contenido: Introduction -- Part I: Background of Transactional and Analytical Systems in Logical Database Design and Benchmarking -- Part II: Towards a Benchmark for Mixed Workloads and its Application in Evaluating Database Schemas -- Part III: Implementation, Evaluation, and Discussion -- Part IV: Appendix En línea: http://dx.doi.org/10.1007/978-3-642-38070-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36133 Ejemplares
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Título : Selected Papers of Frederick Mosteller Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Stephen E. Fienberg ; David C. Hoaglin Editorial: New York, NY : Springer New York Fecha de publicación: 2006 Colección: Springer Series in Statistics, ISSN 0172-7397 Número de páginas: X, 660 p Il.: online resource ISBN/ISSN/DL: 978-0-387-44956-2 Idioma : Inglés (eng) Palabras clave: Mathematics Public health Probabilities Assessment Statistics Econometrics Probability Theory and Stochastic Processes Health Assessment, Testing Evaluation Statistical Methods for Social Science, Behavorial Education, Policy, Law Clasificación: 51 Matemáticas Resumen: Frederick Mosteller has inspired numerous statisticians and other scientists by his creative approach to statistics and its applications. This volume brings together 40 of his most original and influential papers, capturing the variety and depth of his writings. The editors hope to share these with a new generation of researchers, so that they can build upon his insights and efforts. This volume of selected papers is a companion to the earlier volume A Statistical Model: Frederick Mosteller's Contributions to Statistics, Science, and Public Policy, edited by Stephen E. Fienberg, David C. Hoaglin, William H. Kruskal, and Judith M. Tanur (Springer-Verlag, 1990), and to Mosteller's forthcoming autobiography, which will also be published by Springer-Verlag. It includes a biography and a comprehensive bibliography of Mosteller's books, papers, and other writings. Stephen E. Fienberg is Maurice Falk University Professor of Statistics and Social Science, in the Departments of Statistics and Machine Learning at Carnegie Mellon University, Pittsburgh, PA. David C. Hoaglin is Principal Scientist at Abt Associates Inc., Cambridge, MA Nota de contenido: Frederick Mosteller—A Brief Biography -- Unbiased Estimates for Certain Binomial Sampling Problems with Applications -- On Some Useful “Inefficient” Statistics -- A k-Sample Slippage Test for an Extreme Population -- The Uses and Usefulness of Binomial Probability Paper -- The Education of a Scientific Generalist -- Remarks on the Method of Paired Comparisons: I. The Least Squares Solution Assuming Equal Standard Deviations and Equal Correlations -- Remarks on the Method of Paired Comparisons: II. The Effect of an Aberrant Standard Deviation When Equal Standard Deviations and Equal Correlations Are Assumed -- Remarks on the Method of Paired Comparisons: III. A Test of Significance for Paired Comparisons when Equal Standard Deviations and Equal Correlations Are Assumed -- An Experimental Measurement of Utility -- A Mathematical Model for Simple Learning -- A Model for Stimulus Generalization and Discrimination -- The World Series Competition -- Principles of Sampling -- Stochastic Models for the Learning Process -- Factorial 1/2: A Simple Graphical Treatment -- A Comparison of Eight Models -- Optimal Length of Play for a Binomial Game -- Tables of the Freeman-Tukey Transformations for the Binomial and Poisson Distributions -- Understanding the Birthday Problem -- Recognizing the Maximum of a Sequence -- The Distribution of Sums of Rounded Percentages -- The Expected Coverage to the Left of the ith Order Statistic for Arbitrary Distributions -- Bias and Runs in Dice Throwing and Recording: A Few Million Throws -- An Empirical Study of the Distribution of Primes and Litters of Primes -- A Conversation About Collins -- Statistics and Ethics in Surgery and Anesthesia -- Experimentation and Innovations -- New Statistical Methods in Public Policy. Part I: Experimentation -- Classroom and Platform Performance -- The Clinician’s Responsibility for Helping to Improve the Treatment of Tomorrow’s Patients -- Innovation and Evaluation -- Combination of Results of Stated Precision: I. The Optimistic Case -- Combination of Results of Stated Precision: II. A More Realistic Case -- Allocating Loss of Precision in the Sample Mean to Wrong Weights and Redundancy in Sampling with Replacement from a Finite Population -- Reporting Clinical Trials in General Surgical Journals -- Compensating for Radiation-Related Cancers by Probability of Causation or Assigned Shares -- Methods for Studying Coincidences -- A Modified Random-Effect Procedure for Combining Risk Difference in Sets of 2 * 2 Tables from Clinical Trials -- The Case for Smaller Classes and for Evaluating What Works in the Schoolroom -- Frederick Mosteller and John W. Tukey: A Conversation En línea: http://dx.doi.org/10.1007/978-0-387-44956-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34845 Selected Papers of Frederick Mosteller [documento electrónico] / SpringerLink (Online service) ; Stephen E. Fienberg ; David C. Hoaglin . - New York, NY : Springer New York, 2006 . - X, 660 p : online resource. - (Springer Series in Statistics, ISSN 0172-7397) .
ISBN : 978-0-387-44956-2
Idioma : Inglés (eng)
Palabras clave: Mathematics Public health Probabilities Assessment Statistics Econometrics Probability Theory and Stochastic Processes Health Assessment, Testing Evaluation Statistical Methods for Social Science, Behavorial Education, Policy, Law Clasificación: 51 Matemáticas Resumen: Frederick Mosteller has inspired numerous statisticians and other scientists by his creative approach to statistics and its applications. This volume brings together 40 of his most original and influential papers, capturing the variety and depth of his writings. The editors hope to share these with a new generation of researchers, so that they can build upon his insights and efforts. This volume of selected papers is a companion to the earlier volume A Statistical Model: Frederick Mosteller's Contributions to Statistics, Science, and Public Policy, edited by Stephen E. Fienberg, David C. Hoaglin, William H. Kruskal, and Judith M. Tanur (Springer-Verlag, 1990), and to Mosteller's forthcoming autobiography, which will also be published by Springer-Verlag. It includes a biography and a comprehensive bibliography of Mosteller's books, papers, and other writings. Stephen E. Fienberg is Maurice Falk University Professor of Statistics and Social Science, in the Departments of Statistics and Machine Learning at Carnegie Mellon University, Pittsburgh, PA. David C. Hoaglin is Principal Scientist at Abt Associates Inc., Cambridge, MA Nota de contenido: Frederick Mosteller—A Brief Biography -- Unbiased Estimates for Certain Binomial Sampling Problems with Applications -- On Some Useful “Inefficient” Statistics -- A k-Sample Slippage Test for an Extreme Population -- The Uses and Usefulness of Binomial Probability Paper -- The Education of a Scientific Generalist -- Remarks on the Method of Paired Comparisons: I. The Least Squares Solution Assuming Equal Standard Deviations and Equal Correlations -- Remarks on the Method of Paired Comparisons: II. The Effect of an Aberrant Standard Deviation When Equal Standard Deviations and Equal Correlations Are Assumed -- Remarks on the Method of Paired Comparisons: III. A Test of Significance for Paired Comparisons when Equal Standard Deviations and Equal Correlations Are Assumed -- An Experimental Measurement of Utility -- A Mathematical Model for Simple Learning -- A Model for Stimulus Generalization and Discrimination -- The World Series Competition -- Principles of Sampling -- Stochastic Models for the Learning Process -- Factorial 1/2: A Simple Graphical Treatment -- A Comparison of Eight Models -- Optimal Length of Play for a Binomial Game -- Tables of the Freeman-Tukey Transformations for the Binomial and Poisson Distributions -- Understanding the Birthday Problem -- Recognizing the Maximum of a Sequence -- The Distribution of Sums of Rounded Percentages -- The Expected Coverage to the Left of the ith Order Statistic for Arbitrary Distributions -- Bias and Runs in Dice Throwing and Recording: A Few Million Throws -- An Empirical Study of the Distribution of Primes and Litters of Primes -- A Conversation About Collins -- Statistics and Ethics in Surgery and Anesthesia -- Experimentation and Innovations -- New Statistical Methods in Public Policy. Part I: Experimentation -- Classroom and Platform Performance -- The Clinician’s Responsibility for Helping to Improve the Treatment of Tomorrow’s Patients -- Innovation and Evaluation -- Combination of Results of Stated Precision: I. The Optimistic Case -- Combination of Results of Stated Precision: II. A More Realistic Case -- Allocating Loss of Precision in the Sample Mean to Wrong Weights and Redundancy in Sampling with Replacement from a Finite Population -- Reporting Clinical Trials in General Surgical Journals -- Compensating for Radiation-Related Cancers by Probability of Causation or Assigned Shares -- Methods for Studying Coincidences -- A Modified Random-Effect Procedure for Combining Risk Difference in Sets of 2 * 2 Tables from Clinical Trials -- The Case for Smaller Classes and for Evaluating What Works in the Schoolroom -- Frederick Mosteller and John W. Tukey: A Conversation En línea: http://dx.doi.org/10.1007/978-0-387-44956-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34845 Ejemplares
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Título : Statistical Models for Test Equating, Scaling, and Linking Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Alina A. von Davier Editorial: New York, NY : Springer New York Fecha de publicación: 2011 Otro editor: Imprint: Springer Colección: Statistics for Social and Behavioral Sciences, ISSN 2199-7357 Número de páginas: XX, 368 p Il.: online resource ISBN/ISSN/DL: 978-0-387-98138-3 Idioma : Inglés (eng) Palabras clave: Education Assessment Statistics Psychometrics Assessment, Testing and Evaluation for Social Science, Behavorial Education, Public Policy, Law Clasificación: 51 Matemáticas Resumen: The goal of this book is to emphasize the formal statistical features of the practice of equating, linking, and scaling. The book encourages the view and discusses the quality of the equating results from the statistical perspective (new models, robustness, fit, testing hypotheses, statistical monitoring) as opposed to placing the focus on the policy and the implications, which although very important, represent a different side of the equating practice. The book contributes to establishing “equating” as a theoretical field, a view that has not been offered often before. The tradition in the practice of equating has been to present the knowledge and skills needed as a craft, which implies that only with years of experience under the guidance of a knowledgeable practitioner could one acquire the required skills. This book challenges this view by indicating how a good equating framework, a sound understanding of the assumptions that underlie the psychometric models, and the use of statistical tests and statistical process control tools can help the practitioner navigate the difficult decisions in choosing the final equating function. This book provides a valuable reference for several groups: (a) statisticians and psychometricians interested in the theory behind equating methods, in the use of model-based statistical methods for data smoothing, and in the evaluation of the equating results in applied work; (b) practitioners who need to equate tests, including those with these responsibilities in testing companies, state testing agencies, and school districts; and (c) instructors in psychometric, measurement, and psychology programs. Dr. Alina A. von Davier is a Strategic Advisor and a Director of Special Projects in Research and Development at Educational Testing Service (ETS). During her tenure at ETS, she has led an ETS Research Initiative called “Equating and Applied Psychometrics” and has directed the Global Psychometric Services Center. The center supports the psychometric work for all ETS international programs, including TOEFL iBT and TOEIC. She is a co-author of a book on the kernel method of test equating, an author of a book on hypotheses testing in regression models, and a guest co-editor for a special issue on population invariance of linking functions for the journal Applied Psychological Measurement Nota de contenido: Overview -- A Statistical Perspective on Equating Test Scores (Alina A. von Davier) -- Part I: Research Questions and Data Collection Designs -- Equating Test Scores: Toward Best Practices Neil J. Dorans, Tim P. Moses, and Daniel R. Eignor) -- Scoring and Scaling Educational Tests Michael J. Kolen, Ye Tong, and Robert L. Brennan) -- Statistical Models for Vertical Linking James E. Carlson) -- An Empirical Example of Change Analysis by Linking Longitudinal Item Response Data From Multiple Tests (John J. McArdle and Kevin J. Grimm) -- How to Average Equating Functions, If You Must (Paul W. Holland and William E. Strawderman) -- New Approaches to Equating With Small Samples (Samuel A. Livingston and Sooyeon Kim) -- Part II: Measurement and Equating Models -- Using Exponential Families for Equating (Shelby J. Haberman) -- An Alternative Continuization Method: The Continuized Log-Linear Method (Tianyou Wang) -- Equating Through Alternative Kernels (Yi-Hsuan Lee and Alina A. von Davier) -- A Bayesian Nonparametric Model for Test Equating (George Karabatsos and Stephen G. Walker) -- Generalized Equating Functions for NEAT Designs (Haiwen H. Chen, Samuel A. Livingston, and Paul W. Holland) -- Local Observed-Score Equating (Wim J. van der Linden) -- A General Model for IRT Scale Linking and Scale Transformations (Matthias von Davier and Alina A. von Davier) -- Linking With Nonparametric IRT Models (Xueli Xu, Jeff A. Douglas, and Young-Sun Lee) -- Part III: Evaluation -- Applications of Asymptotic Expansion in Item Response Theory Linking (Haruhiko Ogasawara) -- Evaluating the Missing Data Assumptions of the Chain and Poststratification Equating Methods (Sandip Sinharay, Paul W. Holland, and Alina A. von Davier) -- Robustness of IRT Observed-Score Equating (C. A. W. Glas and Anton A. Beguin) -- Hypothesis Testing of Equating Differences in the Kernel Equating Framework (Frank Rijmen, Yanxuan Qu, and Alina A. von Davier) -- Applying Time-Series Analysis to Detect Scale Drift (Deping Li, Shuhong Li, and Alina A. von Davier) En línea: http://dx.doi.org/10.1007/978-0-387-98138-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33085 Statistical Models for Test Equating, Scaling, and Linking [documento electrónico] / SpringerLink (Online service) ; Alina A. von Davier . - New York, NY : Springer New York : Imprint: Springer, 2011 . - XX, 368 p : online resource. - (Statistics for Social and Behavioral Sciences, ISSN 2199-7357) .
ISBN : 978-0-387-98138-3
Idioma : Inglés (eng)
Palabras clave: Education Assessment Statistics Psychometrics Assessment, Testing and Evaluation for Social Science, Behavorial Education, Public Policy, Law Clasificación: 51 Matemáticas Resumen: The goal of this book is to emphasize the formal statistical features of the practice of equating, linking, and scaling. The book encourages the view and discusses the quality of the equating results from the statistical perspective (new models, robustness, fit, testing hypotheses, statistical monitoring) as opposed to placing the focus on the policy and the implications, which although very important, represent a different side of the equating practice. The book contributes to establishing “equating” as a theoretical field, a view that has not been offered often before. The tradition in the practice of equating has been to present the knowledge and skills needed as a craft, which implies that only with years of experience under the guidance of a knowledgeable practitioner could one acquire the required skills. This book challenges this view by indicating how a good equating framework, a sound understanding of the assumptions that underlie the psychometric models, and the use of statistical tests and statistical process control tools can help the practitioner navigate the difficult decisions in choosing the final equating function. This book provides a valuable reference for several groups: (a) statisticians and psychometricians interested in the theory behind equating methods, in the use of model-based statistical methods for data smoothing, and in the evaluation of the equating results in applied work; (b) practitioners who need to equate tests, including those with these responsibilities in testing companies, state testing agencies, and school districts; and (c) instructors in psychometric, measurement, and psychology programs. Dr. Alina A. von Davier is a Strategic Advisor and a Director of Special Projects in Research and Development at Educational Testing Service (ETS). During her tenure at ETS, she has led an ETS Research Initiative called “Equating and Applied Psychometrics” and has directed the Global Psychometric Services Center. The center supports the psychometric work for all ETS international programs, including TOEFL iBT and TOEIC. She is a co-author of a book on the kernel method of test equating, an author of a book on hypotheses testing in regression models, and a guest co-editor for a special issue on population invariance of linking functions for the journal Applied Psychological Measurement Nota de contenido: Overview -- A Statistical Perspective on Equating Test Scores (Alina A. von Davier) -- Part I: Research Questions and Data Collection Designs -- Equating Test Scores: Toward Best Practices Neil J. Dorans, Tim P. Moses, and Daniel R. Eignor) -- Scoring and Scaling Educational Tests Michael J. Kolen, Ye Tong, and Robert L. Brennan) -- Statistical Models for Vertical Linking James E. Carlson) -- An Empirical Example of Change Analysis by Linking Longitudinal Item Response Data From Multiple Tests (John J. McArdle and Kevin J. Grimm) -- How to Average Equating Functions, If You Must (Paul W. Holland and William E. Strawderman) -- New Approaches to Equating With Small Samples (Samuel A. Livingston and Sooyeon Kim) -- Part II: Measurement and Equating Models -- Using Exponential Families for Equating (Shelby J. Haberman) -- An Alternative Continuization Method: The Continuized Log-Linear Method (Tianyou Wang) -- Equating Through Alternative Kernels (Yi-Hsuan Lee and Alina A. von Davier) -- A Bayesian Nonparametric Model for Test Equating (George Karabatsos and Stephen G. Walker) -- Generalized Equating Functions for NEAT Designs (Haiwen H. Chen, Samuel A. Livingston, and Paul W. Holland) -- Local Observed-Score Equating (Wim J. van der Linden) -- A General Model for IRT Scale Linking and Scale Transformations (Matthias von Davier and Alina A. von Davier) -- Linking With Nonparametric IRT Models (Xueli Xu, Jeff A. Douglas, and Young-Sun Lee) -- Part III: Evaluation -- Applications of Asymptotic Expansion in Item Response Theory Linking (Haruhiko Ogasawara) -- Evaluating the Missing Data Assumptions of the Chain and Poststratification Equating Methods (Sandip Sinharay, Paul W. Holland, and Alina A. von Davier) -- Robustness of IRT Observed-Score Equating (C. A. W. Glas and Anton A. Beguin) -- Hypothesis Testing of Equating Differences in the Kernel Equating Framework (Frank Rijmen, Yanxuan Qu, and Alina A. von Davier) -- Applying Time-Series Analysis to Detect Scale Drift (Deping Li, Shuhong Li, and Alina A. von Davier) En línea: http://dx.doi.org/10.1007/978-0-387-98138-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33085 Ejemplares
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