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Título : Statistical Modeling of the National Assessment of Educational Progress Tipo de documento: documento electrónico Autores: Irit Aitkin ; SpringerLink (Online service) ; Murray Aitkin Editorial: New York, NY : Springer New York Fecha de publicación: 2011 Colección: Statistics for Social and Behavioral Sciences, ISSN 2199-7357 Número de páginas: XII, 164 p Il.: online resource ISBN/ISSN/DL: 978-1-4419-9937-5 Idioma : Inglés (eng) Palabras clave: Statistics Assessment Psychometrics for Social Science, Behavorial Education, Public Policy, and Law Assessment, Testing Evaluation Clasificación: 51 Matemáticas Resumen: The purpose of this book is to evaluate a new approach to the analysis and reporting of the large-scale surveys for the National Assessment of Educational Progress carried out for the National Center for Education Statistics. The need for a new approach was driven by the demands for secondary analysis of the survey data by researchers who needed analyses more detailed than those published by NCES, and the need to accelerate the processing and publication of results from the surveys. This new approach is based on a full multilevel statistical and psychometric model for students’ responses to the test items, taking into account the design of the survey, the backgrounds of the students, and the classes, schools and communities in which the students were located. The authors detail a fully integrated single model that incorporates both the survey design and the psychometric model by extending the traditional form of the psychometric model to accommodate the design structure while allowing for student, teacher, and school covariates Nota de contenido: Theories of Data Analysis and Statistical Inference -- The Current Design and Analysis -- Psychometric and Survey Models -- Technical Reports – Data Analyses and Simulation Studies -- 1986 NAEP Math Survey -- Analysis of All 1986Math Iems -- 2005 NAEP Math Survey – Texas -- 2005 NAEP Math Survey – California -- Conclusions -- 1986 Survey Results, 30 Item Subscale -- 1986 Survey Results, Full 79 Items -- Model Parameter Estimates and SEs, 2005 Texas Survey -- Model Parameter Estimates and SEs, 2005 California survey En línea: http://dx.doi.org/10.1007/978-1-4419-9937-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33208 Statistical Modeling of the National Assessment of Educational Progress [documento electrónico] / Irit Aitkin ; SpringerLink (Online service) ; Murray Aitkin . - New York, NY : Springer New York, 2011 . - XII, 164 p : online resource. - (Statistics for Social and Behavioral Sciences, ISSN 2199-7357) .
ISBN : 978-1-4419-9937-5
Idioma : Inglés (eng)
Palabras clave: Statistics Assessment Psychometrics for Social Science, Behavorial Education, Public Policy, and Law Assessment, Testing Evaluation Clasificación: 51 Matemáticas Resumen: The purpose of this book is to evaluate a new approach to the analysis and reporting of the large-scale surveys for the National Assessment of Educational Progress carried out for the National Center for Education Statistics. The need for a new approach was driven by the demands for secondary analysis of the survey data by researchers who needed analyses more detailed than those published by NCES, and the need to accelerate the processing and publication of results from the surveys. This new approach is based on a full multilevel statistical and psychometric model for students’ responses to the test items, taking into account the design of the survey, the backgrounds of the students, and the classes, schools and communities in which the students were located. The authors detail a fully integrated single model that incorporates both the survey design and the psychometric model by extending the traditional form of the psychometric model to accommodate the design structure while allowing for student, teacher, and school covariates Nota de contenido: Theories of Data Analysis and Statistical Inference -- The Current Design and Analysis -- Psychometric and Survey Models -- Technical Reports – Data Analyses and Simulation Studies -- 1986 NAEP Math Survey -- Analysis of All 1986Math Iems -- 2005 NAEP Math Survey – Texas -- 2005 NAEP Math Survey – California -- Conclusions -- 1986 Survey Results, 30 Item Subscale -- 1986 Survey Results, Full 79 Items -- Model Parameter Estimates and SEs, 2005 Texas Survey -- Model Parameter Estimates and SEs, 2005 California survey En línea: http://dx.doi.org/10.1007/978-1-4419-9937-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33208 Ejemplares
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Título : Bayesian Item Response Modeling : Theory and Applications Tipo de documento: documento electrónico Autores: Fox, Jean-Paul ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2010 Colección: Statistics for Social and Behavioral Sciences, ISSN 2199-7357 Número de páginas: XIV, 313 p Il.: online resource ISBN/ISSN/DL: 978-1-4419-0742-4 Idioma : Inglés (eng) Palabras clave: Social sciences Marketing Probabilities Assessment Statistics Psychometrics Sciences Methodology of the Probability Theory and Stochastic Processes for Science, Behavorial Education, Public Policy, Law Assessment, Testing Evaluation Clasificación: 51 Matemáticas Resumen: This book presents a thorough treatment and unified coverage of Bayesian item response modeling with applications in a variety of disciplines, including education, medicine, psychology, and sociology. Breakthroughs in computing technology have made the Bayesian approach particularly useful for many response modeling problems. Free from computational constraints, realistic and state-of-the-art latent variable response models are considered for complex assessment and survey data to solve real-world problems. The Bayesian framework described provides a unified approach for modeling and inference, dealing with (nondata) prior information and information across multiple data sources. The book discusses methods for analyzing item response data and the complex relationships commonly associated with human response behavior and features • Self-contained introduction to Bayesian item response modeling and a coverage of extending standard models to handle complex assessment data • A thorough overview of Bayesian estimation and testing methods for item response models, where MCMC methods are emphasized • Numerous examples that cover a wide range of application areas, including education, medicine, psychology, and sociology • Datasets and software (S+, R, and WinBUGS code) of the models and methods presented in the book are available on www.jean-paulfox.com Bayesian Item Response Modeling is an excellent book for research professionals, including applied statisticians, psychometricians, and social scientists who analyze item response data from a Bayesian perspective. It is a guide to the growing area of Bayesian response modeling for researchers and graduate students, and will also serve them as a good reference. Jean-Paul Fox is Associate Professor of Measurement and Data Analysis, University of Twente, The Netherlands. His main research activities are in several areas of Bayesian response modeling. Dr. Fox has published numerous articles in the areas of Bayesian item response analysis, statistical methods for analyzing multivariate categorical response data, and nonlinear mixed effects models Nota de contenido: to Bayesian Response Modeling -- Bayesian Hierarchical Response Modeling -- Basic Elements of Bayesian Statistics -- Estimation of Bayesian Item Response Models -- Assessment of Bayesian Item Response Models -- Multilevel Item Response Theory Models -- Random Item Effects Models -- Response Time Item Response Models -- Randomized Item Response Models En línea: http://dx.doi.org/10.1007/978-1-4419-0742-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33580 Bayesian Item Response Modeling : Theory and Applications [documento electrónico] / Fox, Jean-Paul ; SpringerLink (Online service) . - New York, NY : Springer New York, 2010 . - XIV, 313 p : online resource. - (Statistics for Social and Behavioral Sciences, ISSN 2199-7357) .
ISBN : 978-1-4419-0742-4
Idioma : Inglés (eng)
Palabras clave: Social sciences Marketing Probabilities Assessment Statistics Psychometrics Sciences Methodology of the Probability Theory and Stochastic Processes for Science, Behavorial Education, Public Policy, Law Assessment, Testing Evaluation Clasificación: 51 Matemáticas Resumen: This book presents a thorough treatment and unified coverage of Bayesian item response modeling with applications in a variety of disciplines, including education, medicine, psychology, and sociology. Breakthroughs in computing technology have made the Bayesian approach particularly useful for many response modeling problems. Free from computational constraints, realistic and state-of-the-art latent variable response models are considered for complex assessment and survey data to solve real-world problems. The Bayesian framework described provides a unified approach for modeling and inference, dealing with (nondata) prior information and information across multiple data sources. The book discusses methods for analyzing item response data and the complex relationships commonly associated with human response behavior and features • Self-contained introduction to Bayesian item response modeling and a coverage of extending standard models to handle complex assessment data • A thorough overview of Bayesian estimation and testing methods for item response models, where MCMC methods are emphasized • Numerous examples that cover a wide range of application areas, including education, medicine, psychology, and sociology • Datasets and software (S+, R, and WinBUGS code) of the models and methods presented in the book are available on www.jean-paulfox.com Bayesian Item Response Modeling is an excellent book for research professionals, including applied statisticians, psychometricians, and social scientists who analyze item response data from a Bayesian perspective. It is a guide to the growing area of Bayesian response modeling for researchers and graduate students, and will also serve them as a good reference. Jean-Paul Fox is Associate Professor of Measurement and Data Analysis, University of Twente, The Netherlands. His main research activities are in several areas of Bayesian response modeling. Dr. Fox has published numerous articles in the areas of Bayesian item response analysis, statistical methods for analyzing multivariate categorical response data, and nonlinear mixed effects models Nota de contenido: to Bayesian Response Modeling -- Bayesian Hierarchical Response Modeling -- Basic Elements of Bayesian Statistics -- Estimation of Bayesian Item Response Models -- Assessment of Bayesian Item Response Models -- Multilevel Item Response Theory Models -- Random Item Effects Models -- Response Time Item Response Models -- Randomized Item Response Models En línea: http://dx.doi.org/10.1007/978-1-4419-0742-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33580 Ejemplares
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Título : Looking Back : Proceedings of a Conference in Honor of Paul W. Holland Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Dorans, Neil J ; Sinharay, Sandip Editorial: New York, NY : Springer New York Fecha de publicación: 2011 Otro editor: Imprint: Springer Colección: Lecture Notes in Statistics, ISSN 0930-0325 num. 202 Número de páginas: XVIII, 283 p. 37 illus Il.: online resource ISBN/ISSN/DL: 978-1-4419-9389-2 Idioma : Inglés (eng) Palabras clave: Statistics Mathematics Assessment Social sciences Psychometrics for Science, Behavorial Education, Public Policy, and Law Assessment, Testing Evaluation Methodology of the Sciences Mathematics, general Clasificación: 51 Matemáticas Resumen: In 2006, Paul W. Holland retired from Educational Testing Service (ETS) after a career spanning five decades. In 2008, ETS sponsored a conference, Looking Back, honoring his contributions to applied and theoretical psychometrics and statistics. Looking Back attracted a large audience that came to pay homage to Paul Holland and to hear presentations by colleagues who worked with him in special ways over those 40+ years. This book contains papers based on these presentations, as well as vignettes provided by Paul Holland before each section. The papers in this book attest to how Paul Holland's pioneering ideas influenced and continue to influence several fields such as social networks, causal inference, item response theory, equating, and DIF. He applied statistical thinking to a broad range of ETS activities in test development, statistical analysis, test security, and operations. The original papers contained in this book provide historical context for Paul Holland’s work alongside commentary on some of his major contributions by noteworthy statisticians working today Nota de contenido: The Contributions of Paul Holland -- Algebraic Statistics for p1 Random Graph Models -- Mr. Holland's Networks: A Brief Review of the Importance of Statistical Studies of Local Subgraphs or One Small Tune in a Large Opus -- Some of My Favorite Things About Working at ETS -- Bayesian Analysis of a Two-Group Randomized Encouragement Design -- The Role of Nonparametric Analysis in Assessment Modeling: Then and Now -- What Aspects of the Design of an Observational Study Affect Its Sensitivity to Bias From Covariates That Were Not Observed? -- The Origins of Procedures for Using Differential Item Functioning Statistics at Educational Testing Service -- Why I Left ETS and Returned -- Cause or Effect? Validating the Use of Tests for High-Stakes Inferences in Education -- Propensity Score Matching to Extract Latent Experiments From Nonexperimental Data: A Case Study -- Returning to ETS from Berkeley -- Loglinear Models as Smooth Operators: Holland's Statistical Applications and Their Practical Uses -- Chain Equipercentile Equating and Frequency Estimation Equipercentile Equating: Comparisons Based on Real and Simulated Data -- An Observed-Score Equating Framework -- Great Colleagues Make a Great Institution -- An Exploratory Analysis of Charter Schools -- Holland's Advice for the Fourth Generation of Test Theory: Blood Tests Can Be Contests En línea: http://dx.doi.org/10.1007/978-1-4419-9389-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33183 Looking Back : Proceedings of a Conference in Honor of Paul W. Holland [documento electrónico] / SpringerLink (Online service) ; Dorans, Neil J ; Sinharay, Sandip . - New York, NY : Springer New York : Imprint: Springer, 2011 . - XVIII, 283 p. 37 illus : online resource. - (Lecture Notes in Statistics, ISSN 0930-0325; 202) .
ISBN : 978-1-4419-9389-2
Idioma : Inglés (eng)
Palabras clave: Statistics Mathematics Assessment Social sciences Psychometrics for Science, Behavorial Education, Public Policy, and Law Assessment, Testing Evaluation Methodology of the Sciences Mathematics, general Clasificación: 51 Matemáticas Resumen: In 2006, Paul W. Holland retired from Educational Testing Service (ETS) after a career spanning five decades. In 2008, ETS sponsored a conference, Looking Back, honoring his contributions to applied and theoretical psychometrics and statistics. Looking Back attracted a large audience that came to pay homage to Paul Holland and to hear presentations by colleagues who worked with him in special ways over those 40+ years. This book contains papers based on these presentations, as well as vignettes provided by Paul Holland before each section. The papers in this book attest to how Paul Holland's pioneering ideas influenced and continue to influence several fields such as social networks, causal inference, item response theory, equating, and DIF. He applied statistical thinking to a broad range of ETS activities in test development, statistical analysis, test security, and operations. The original papers contained in this book provide historical context for Paul Holland’s work alongside commentary on some of his major contributions by noteworthy statisticians working today Nota de contenido: The Contributions of Paul Holland -- Algebraic Statistics for p1 Random Graph Models -- Mr. Holland's Networks: A Brief Review of the Importance of Statistical Studies of Local Subgraphs or One Small Tune in a Large Opus -- Some of My Favorite Things About Working at ETS -- Bayesian Analysis of a Two-Group Randomized Encouragement Design -- The Role of Nonparametric Analysis in Assessment Modeling: Then and Now -- What Aspects of the Design of an Observational Study Affect Its Sensitivity to Bias From Covariates That Were Not Observed? -- The Origins of Procedures for Using Differential Item Functioning Statistics at Educational Testing Service -- Why I Left ETS and Returned -- Cause or Effect? Validating the Use of Tests for High-Stakes Inferences in Education -- Propensity Score Matching to Extract Latent Experiments From Nonexperimental Data: A Case Study -- Returning to ETS from Berkeley -- Loglinear Models as Smooth Operators: Holland's Statistical Applications and Their Practical Uses -- Chain Equipercentile Equating and Frequency Estimation Equipercentile Equating: Comparisons Based on Real and Simulated Data -- An Observed-Score Equating Framework -- Great Colleagues Make a Great Institution -- An Exploratory Analysis of Charter Schools -- Holland's Advice for the Fourth Generation of Test Theory: Blood Tests Can Be Contests En línea: http://dx.doi.org/10.1007/978-1-4419-9389-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33183 Ejemplares
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Título : Elements of Adaptive Testing Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; van der Linden, Wim J ; Glas, Cees A.W Editorial: New York, NY : Springer New York Fecha de publicación: 2010 Colección: Statistics for Social and Behavioral Sciences, ISSN 2199-7357 Número de páginas: XIV, 438 p Il.: online resource ISBN/ISSN/DL: 978-0-387-85461-8 Idioma : Inglés (eng) Palabras clave: Statistics Assessment Psychometrics for Social Science, Behavorial Education, Public Policy, and Law Assessment, Testing Evaluation Clasificación: 51 Matemáticas Resumen: The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing format in which the computer uses statistical information about the test items to automatically adapt their selection to a real-time update of the test taker’s ability estimate. This book covers such key features of adaptive testing as item selection and ability estimation, adaptive testing with multidimensional abilities, sequencing adaptive test batteries, multistage adaptive testing, item-pool design and maintenance, estimation of item and item-family parameters, item and person fit, as well as adaptive mastery and classification testing. It also shows how these features are used in the daily operations of several large-scale adaptive testing programs. Wim J. van der Linden is Chief Research Scientist at CTB/McGraw-Hill, Monterey, CA. His specialization is psychometric theory and methods, and he has been an active researcher of adaptive testing throughout his career. For Springer, he wrote Linear Models for Optimal Test Design (2005) and co-edited Handbook of Modern Item ResponseTheory (1997). He is a past president of the Psychometric Society and recipient of lifetime achievement awards from the National Council for Measurement in Education (NCME) and the Association of Test Publishers (ATP). Cees A. W. Glas is Professor of Social Science Research Methodology, University of Twente, the Netherlands. His specialization is psychometric theory and methods, with an emphasis on item response theory, adaptive testing, model fit analysis, and missing data. Professor Glas is a co-author of Educational Evaluation, Assessment, and Monitoring (Swets & Zetlinger, 2003). Currently, he is a member of the Editorial Board of Psychometrika and serves as a technical consultant to the OECD programs for international student assessment (PISA) and the assessment of adult competencies (PIAAC) Nota de contenido: ITEM SELECTION AND ABILITY ESTIMATION -- Item Selection and Ability Estimation in Adaptive Testing -- Constrained Adaptive Testing with Shadow Tests -- Principles of Multidimensional Adaptive Testing -- Multidimensional Adaptive Testing with Kullback#x2013;Leibler Information Item Selection -- Sequencing an Adaptive Test Battery -- APPLICATIONS IN LARGE-SCALE TESTING PROGRAMS -- Adaptive Tests for Measuring Anxiety and Depression -- MATHCAT: A Flexible Testing System in Mathematics Education for Adults -- Implementing the Graduate Management Admission Test Computerized Adaptive Test -- Designing and Implementing a Multistage Adaptive Test: The Uniform CPA Exam -- A Japanese Adaptive Test of English as a Foreign Language: Developmental and Operational Aspects -- ITEM POOL DEVELOPMENT AND MAINTENANCE -- Innovative Items for Computerized Testing -- Designing Item Pools for Adaptive Testing -- Assembling an Inventory of Multistage Adaptive Testing Systems -- ITEM CALIBRATION AND MODEL FIT -- Item Parameter Estimation and Item Fit Analysis -- Estimation of the Parameters in an Item-Cloning Model for Adaptive Testing -- Detecting Person Misfit in Adaptive Testing -- The Investigation of Differential Item Functioning in Adaptive Tests -- MULTISTAGE AND MASTERY TESTING -- Multistage Testing: Issues, Designs, and Research -- Three-Category Adaptive Classification Testing -- Testlet-Based Adaptive Mastery Testing -- Adaptive Mastery Testing Using a Multidimensional IRT Model En línea: http://dx.doi.org/10.1007/978-0-387-85461-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33513 Elements of Adaptive Testing [documento electrónico] / SpringerLink (Online service) ; van der Linden, Wim J ; Glas, Cees A.W . - New York, NY : Springer New York, 2010 . - XIV, 438 p : online resource. - (Statistics for Social and Behavioral Sciences, ISSN 2199-7357) .
ISBN : 978-0-387-85461-8
Idioma : Inglés (eng)
Palabras clave: Statistics Assessment Psychometrics for Social Science, Behavorial Education, Public Policy, and Law Assessment, Testing Evaluation Clasificación: 51 Matemáticas Resumen: The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing format in which the computer uses statistical information about the test items to automatically adapt their selection to a real-time update of the test taker’s ability estimate. This book covers such key features of adaptive testing as item selection and ability estimation, adaptive testing with multidimensional abilities, sequencing adaptive test batteries, multistage adaptive testing, item-pool design and maintenance, estimation of item and item-family parameters, item and person fit, as well as adaptive mastery and classification testing. It also shows how these features are used in the daily operations of several large-scale adaptive testing programs. Wim J. van der Linden is Chief Research Scientist at CTB/McGraw-Hill, Monterey, CA. His specialization is psychometric theory and methods, and he has been an active researcher of adaptive testing throughout his career. For Springer, he wrote Linear Models for Optimal Test Design (2005) and co-edited Handbook of Modern Item ResponseTheory (1997). He is a past president of the Psychometric Society and recipient of lifetime achievement awards from the National Council for Measurement in Education (NCME) and the Association of Test Publishers (ATP). Cees A. W. Glas is Professor of Social Science Research Methodology, University of Twente, the Netherlands. His specialization is psychometric theory and methods, with an emphasis on item response theory, adaptive testing, model fit analysis, and missing data. Professor Glas is a co-author of Educational Evaluation, Assessment, and Monitoring (Swets & Zetlinger, 2003). Currently, he is a member of the Editorial Board of Psychometrika and serves as a technical consultant to the OECD programs for international student assessment (PISA) and the assessment of adult competencies (PIAAC) Nota de contenido: ITEM SELECTION AND ABILITY ESTIMATION -- Item Selection and Ability Estimation in Adaptive Testing -- Constrained Adaptive Testing with Shadow Tests -- Principles of Multidimensional Adaptive Testing -- Multidimensional Adaptive Testing with Kullback#x2013;Leibler Information Item Selection -- Sequencing an Adaptive Test Battery -- APPLICATIONS IN LARGE-SCALE TESTING PROGRAMS -- Adaptive Tests for Measuring Anxiety and Depression -- MATHCAT: A Flexible Testing System in Mathematics Education for Adults -- Implementing the Graduate Management Admission Test Computerized Adaptive Test -- Designing and Implementing a Multistage Adaptive Test: The Uniform CPA Exam -- A Japanese Adaptive Test of English as a Foreign Language: Developmental and Operational Aspects -- ITEM POOL DEVELOPMENT AND MAINTENANCE -- Innovative Items for Computerized Testing -- Designing Item Pools for Adaptive Testing -- Assembling an Inventory of Multistage Adaptive Testing Systems -- ITEM CALIBRATION AND MODEL FIT -- Item Parameter Estimation and Item Fit Analysis -- Estimation of the Parameters in an Item-Cloning Model for Adaptive Testing -- Detecting Person Misfit in Adaptive Testing -- The Investigation of Differential Item Functioning in Adaptive Tests -- MULTISTAGE AND MASTERY TESTING -- Multistage Testing: Issues, Designs, and Research -- Three-Category Adaptive Classification Testing -- Testlet-Based Adaptive Mastery Testing -- Adaptive Mastery Testing Using a Multidimensional IRT Model En línea: http://dx.doi.org/10.1007/978-0-387-85461-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33513 Ejemplares
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Título : Linking and Aligning Scores and Scales Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Dorans, Neil J ; Pommerich, Mary ; Holland, Paul W Editorial: New York, NY : Springer New York Fecha de publicación: 2007 Colección: Statistics for Social and Behavioral Sciences, ISSN 2199-7357 Número de páginas: XX, 396 p Il.: online resource ISBN/ISSN/DL: 978-0-387-49771-6 Idioma : Inglés (eng) Palabras clave: Statistics Assessment Psychology Methodology Psychological measurement Psychometrics for Social Science, Behavorial Education, Public Policy, and Law Assessment, Testing Evaluation Methods/Evaluation Clasificación: 51 Matemáticas Resumen: The comparability of measurements made in differing circumstances by different methods and investigators is a fundamental pre-condition for all of science. Successful applications of technology require comparable measurements. While the applications herefocus on educational tests, score linking issues are directly applicable to medicine and many branches of behavioral science. Since the 1980s, the fields of educational and psychological measurement have enhanced and widely applied techniques for producing linked scores that are comparable. The interpretation attached to a linkage depends on how the conditions of the linkage differ from the ideal. In this book, experts in statistics and psychometrics describe classes of linkages, the history of score linkings, data collection designs, and methods used to achieve sound score linkages. They describe and critically discuss applications to a variety of domains including equating of achievement exams, linkages between computer-delivered exams and paper-and-pencil exams, concordances between the current version of the SAT® and its predecessor, concordances between the ACT® and the SAT®, vertical linkages of exams that span grade levels, and linkages of scales from high-stakes state assessments to the scales of the National Assessment of Educational Progress (NAEP). Dr. Neil J. Dorans is a Distinguished Presidential Appointee at Educational Testing Service. During his 27 years at ETS, he has had primary responsibility for the statistical work associated with the AP®, PSAT/NMSQT®, and SAT® exams. He was the architect for the recentered SAT scales. He has guest edited special issues on score linking for Applied Measurement in Education, Applied Psychological Measurement, and the Journal of Educational Measurement. Dr. Mary Pommerich is a psychometrician in the Personnel Testing Division of the Defense Manpower Data Center, where she works with the ASVAB (Armed Services Vocational Aptitude Battery) testing program. She guest edited a special issue on concordance for Applied Psychological Measurement. Her research is typically generated by practical testing problems and has focused on a wide variety of issues, including linking and concordance. Dr. Paul W. Holland is the Frederic M. Lord Chair in Measurement and Statistics at Educational Testing Service and before that professor in the School of Education and the department of Statistics at the University of California, Berkeley. His books include Discrete Multivariate Analysis, Differential Item Functioning, Perspectives on Social Network Research , and two books on test score equating. He is a fellow of the American Statistical Association and the Institute for Mathematical Statistics, was designated a National Associate of the National Academies, was awarded for his career contributions by the National Council on Measurement in Education, and was elected to the National Academy of Education Nota de contenido: Overview -- Overview -- Foundations -- A Framework and History for Score Linking -- Data Collection Designs and Linking Procedures -- Equating -- Equating: Best Practices and Challenges to Best Practices -- Practical Problems in Equating Test Scores: A Practitioner’s Perspective -- Potential Solutions to Practical Equating Issues -- Tests in Transition -- Score Linking Issues Related to Test Content Changes -- Linking Scores Derived Under Different Modes of Test Administration -- Tests in Transition: Discussion and Synthesis -- Concordance -- Sizing Up Linkages -- Concordance: The Good, the Bad, and the Ugly -- Some Further Thoughts on Concordance -- Vertical Scaling -- Practical Issues in Vertical Scaling -- Methods and Models for Vertical Scaling -- Vertical Scaling and No Child Left Behind -- Assessments Linking Group Assessments to Individual -- Linking Assessments Based on Aggregate Reporting: Background and Issues -- An Enhanced Method for Mapping State Standards onto the NAEP Scale -- Using Aggregate-Level Linkages for Estimation and Validation: Comments on Thissen and Braun & Qian -- Postscript En línea: http://dx.doi.org/10.1007/978-0-387-49771-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34496 Linking and Aligning Scores and Scales [documento electrónico] / SpringerLink (Online service) ; Dorans, Neil J ; Pommerich, Mary ; Holland, Paul W . - New York, NY : Springer New York, 2007 . - XX, 396 p : online resource. - (Statistics for Social and Behavioral Sciences, ISSN 2199-7357) .
ISBN : 978-0-387-49771-6
Idioma : Inglés (eng)
Palabras clave: Statistics Assessment Psychology Methodology Psychological measurement Psychometrics for Social Science, Behavorial Education, Public Policy, and Law Assessment, Testing Evaluation Methods/Evaluation Clasificación: 51 Matemáticas Resumen: The comparability of measurements made in differing circumstances by different methods and investigators is a fundamental pre-condition for all of science. Successful applications of technology require comparable measurements. While the applications herefocus on educational tests, score linking issues are directly applicable to medicine and many branches of behavioral science. Since the 1980s, the fields of educational and psychological measurement have enhanced and widely applied techniques for producing linked scores that are comparable. The interpretation attached to a linkage depends on how the conditions of the linkage differ from the ideal. In this book, experts in statistics and psychometrics describe classes of linkages, the history of score linkings, data collection designs, and methods used to achieve sound score linkages. They describe and critically discuss applications to a variety of domains including equating of achievement exams, linkages between computer-delivered exams and paper-and-pencil exams, concordances between the current version of the SAT® and its predecessor, concordances between the ACT® and the SAT®, vertical linkages of exams that span grade levels, and linkages of scales from high-stakes state assessments to the scales of the National Assessment of Educational Progress (NAEP). Dr. Neil J. Dorans is a Distinguished Presidential Appointee at Educational Testing Service. During his 27 years at ETS, he has had primary responsibility for the statistical work associated with the AP®, PSAT/NMSQT®, and SAT® exams. He was the architect for the recentered SAT scales. He has guest edited special issues on score linking for Applied Measurement in Education, Applied Psychological Measurement, and the Journal of Educational Measurement. Dr. Mary Pommerich is a psychometrician in the Personnel Testing Division of the Defense Manpower Data Center, where she works with the ASVAB (Armed Services Vocational Aptitude Battery) testing program. She guest edited a special issue on concordance for Applied Psychological Measurement. Her research is typically generated by practical testing problems and has focused on a wide variety of issues, including linking and concordance. Dr. Paul W. Holland is the Frederic M. Lord Chair in Measurement and Statistics at Educational Testing Service and before that professor in the School of Education and the department of Statistics at the University of California, Berkeley. His books include Discrete Multivariate Analysis, Differential Item Functioning, Perspectives on Social Network Research , and two books on test score equating. He is a fellow of the American Statistical Association and the Institute for Mathematical Statistics, was designated a National Associate of the National Academies, was awarded for his career contributions by the National Council on Measurement in Education, and was elected to the National Academy of Education Nota de contenido: Overview -- Overview -- Foundations -- A Framework and History for Score Linking -- Data Collection Designs and Linking Procedures -- Equating -- Equating: Best Practices and Challenges to Best Practices -- Practical Problems in Equating Test Scores: A Practitioner’s Perspective -- Potential Solutions to Practical Equating Issues -- Tests in Transition -- Score Linking Issues Related to Test Content Changes -- Linking Scores Derived Under Different Modes of Test Administration -- Tests in Transition: Discussion and Synthesis -- Concordance -- Sizing Up Linkages -- Concordance: The Good, the Bad, and the Ugly -- Some Further Thoughts on Concordance -- Vertical Scaling -- Practical Issues in Vertical Scaling -- Methods and Models for Vertical Scaling -- Vertical Scaling and No Child Left Behind -- Assessments Linking Group Assessments to Individual -- Linking Assessments Based on Aggregate Reporting: Background and Issues -- An Enhanced Method for Mapping State Standards onto the NAEP Scale -- Using Aggregate-Level Linkages for Estimation and Validation: Comments on Thissen and Braun & Qian -- Postscript En línea: http://dx.doi.org/10.1007/978-0-387-49771-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34496 Ejemplares
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