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Author: Murray Aitkin Publisher: Springer Science & Business Media ISBN: 144199937X Category : Social Science Languages : en Pages : 170
Book Description
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.
Author: Murray Aitkin Publisher: Springer Science & Business Media ISBN: 144199937X Category : Social Science Languages : en Pages : 170
Book Description
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.
Author: National Research Council Publisher: National Academies Press ISBN: 0309293227 Category : Education Languages : en Pages : 383
Book Description
Education is a hot topic. From the stage of presidential debates to tonight's dinner table, it is an issue that most Americans are deeply concerned about. While there are many strategies for improving the educational process, we need a way to find out what works and what doesn't work as well. Educational assessment seeks to determine just how well students are learning and is an integral part of our quest for improved education. The nation is pinning greater expectations on educational assessment than ever before. We look to these assessment tools when documenting whether students and institutions are truly meeting education goals. But we must stop and ask a crucial question: What kind of assessment is most effective? At a time when traditional testing is subject to increasing criticism, research suggests that new, exciting approaches to assessment may be on the horizon. Advances in the sciences of how people learn and how to measure such learning offer the hope of developing new kinds of assessments-assessments that help students succeed in school by making as clear as possible the nature of their accomplishments and the progress of their learning. Knowing What Students Know essentially explains how expanding knowledge in the scientific fields of human learning and educational measurement can form the foundations of an improved approach to assessment. These advances suggest ways that the targets of assessment-what students know and how well they know it-as well as the methods used to make inferences about student learning can be made more valid and instructionally useful. Principles for designing and using these new kinds of assessments are presented, and examples are used to illustrate the principles. Implications for policy, practice, and research are also explored. With the promise of a productive research-based approach to assessment of student learning, Knowing What Students Know will be important to education administrators, assessment designers, teachers and teacher educators, and education advocates.
Author: David Kaplan Publisher: DIANE Publishing ISBN: 1428926798 Category : Adult education Languages : en Pages : 36
Book Description
This paper offers recommendations to the National Center for Education Statistics (NCES) on the development of the background questionnaire for the National Assessment of Adult Literacy (NAAL). The recommendations are from the viewpoint of a researcher interested in applying sophisticated statistical models to address important issues in adult literacy. The paper focuses on five issues, each of which is the subject of a section of the paper: sampling; selection bias; measurement; policy modeling; and gauging cohort effects. Each section considers the scope of the issue and then makes recommendations to NCES. These recommendations include providing all appropriate sampling weights in NAAL data; examining contextual effects on the distribution of literacy ability in the population; considering relevant auxiliary variables that would constitute the selection equation; considering the hypothesized number of factors and including at least four variables measuring each factor in the questionnaire; obtaining retrospective data on general and job-specific literacy-related activities; and exploring the possibility of linking NAAL with existing longitudinal surveys. (Contains 21 references.) (YLB)
Author: Anna Bargagliotti Publisher: ISBN: 9781734223514 Category : Statistics Languages : en Pages : 124
Book Description
"This document lays out a curriculum framework for pre-K-12 educational programs that is designed to help students achieve data literacy and become statistically literate. The framework and subsequent sections in this book recommend curriculum and implementation strategies covering pre-K-12 statistics education"--
Author: Stephen E. Fienberg Publisher: Springer Science & Business Media ISBN: 1461233844 Category : Mathematics Languages : en Pages : 305
Book Description
A large number of Mostellar's friends, colleagues, collaborators, and former students have contributed to the preparation of this volume in honor of his 70th birthday. It provides a critical assessment of Mosteller's professional and research contributions to the field of statistics and its applications.
Author: Christine A. Franklin Publisher: ISBN: Category : Mathematics Languages : en Pages : 118
Book Description
Statistics education as proposed in this framework can promote the must-have competencies for graduates to thrive in the modern world.
Author: Publisher: ISBN: Category : Education Languages : en Pages : 188
Book Description
Contains information on a variety of subjects within the field of education statistics, including the number of schools and colleges, enrollments, teachers, graduates, educational attainment, finances, Federal funds for education, libraries, international education, and research and development.
Author: United States. Congress. House. Committee on Education and the Workforce. Subcommittee on Early Childhood, Youth, and Families Publisher: ISBN: Category : Languages : en Pages : 184
Author: Andrew Gelman Publisher: John Wiley & Sons ISBN: 9780470090435 Category : Mathematics Languages : en Pages : 448
Book Description
This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated to Professor Don Rubin (Harvard). Don Rubin has made fundamental contributions to the study of missing data. Key features of the book include: Comprehensive coverage of an imporant area for both research and applications. Adopts a pragmatic approach to describing a wide range of intermediate and advanced statistical techniques. Covers key topics such as multiple imputation, propensity scores, instrumental variables and Bayesian inference. Includes a number of applications from the social and health sciences. Edited and authored by highly respected researchers in the area.
Author: Murray Aitkin
Author: Murray Aitkin
Author: National Research Council
Author: David Kaplan
Author: 
Author: Anna Bargagliotti
Author: Stephen E. Fienberg
Author: Christine A. Franklin
Author: 
Author: United States. Congress. House. Committee on Education and the Workforce. Subcommittee on Early Childhood, Youth, and Families
Author: Andrew Gelman