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.

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This book details a fully integrated model that incorporates both the survey design and the psychometric model by extending the traditional psychometric model form to accommodate the design structure while allowing for student, teacher, and school covariates.
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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.

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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.

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The models and analysis approach are illustrated with detailed results from two NAEP surveys. The use of a full statistical model avoids the ad hoc methods that are otherwise necessary for the analysis of the data. The modeling approach is complex and computationally intensive, but less so than the existing methods used for these surveys, and it has the twin advantages of efficiency and optimality. Includes supplementary material: sn.pub/extras
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GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
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Produktdetaljer

ISBN
9781441999368
Publisert
2011-05-19
Utgiver
Vendor
Springer-Verlag New York Inc.
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Professional/practitioner, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet