Автор: Xiufeng Liu Название: Using and Developing Measurement Instruments in Science Education ISBN: 1641139358 ISBN-13(EAN): 9781641139359 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 61450.00 T Наличие на складе: Есть Описание: Meets a demand in the science education community for a comprehensive and introductory measurement book. The book describes measurement instruments reported in refereed science education research journals, and introduces the Rasch modeling approach to developing measurement instruments in science assessment domains.
Автор: Salkind, Neil J. Frey, Bruce B. Название: Tests & measurement for people who (think they) hate tests & measurement ISBN: 1071817175 ISBN-13(EAN): 9781071817179 Издательство: Sage Publications Рейтинг: Цена: 120390.00 T Наличие на складе: Поставка под заказ. Описание: With its conversational writing style and straightforward presentation, Neil J. Salkind`s bestselling book guides readers through the categories, design, and use of tests, as well as some of the basic social, political, and legal issues that the process of testing involves. New co-author Bruce B. Frey adds his expertise in the further development of this new edition.
Автор: Skaggs Gary Edward Название: Test Development and Validation ISBN: 1544377142 ISBN-13(EAN): 9781544377148 Издательство: Sage Publications Рейтинг: Цена: 120390.00 T Наличие на складе: Поставка под заказ. Описание: Test Development and Validation by Gary Skaggs frameworks for test development and validation, and guidance for developing tests in straightforward language in one core text. Covering the changes in testing, technical development of tests and determining validity of tests, this book offers clear explanations within a real-world context.
Автор: de Vet Название: Measurement in Medicine ISBN: 0521133858 ISBN-13(EAN): 9780521133852 Издательство: Cambridge Academ Рейтинг: Цена: 51750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Measurement instruments are essential in medicine to assess the severity of diseases, monitor health status or evaluate the effects of interventions. Learn how to improve these measurements with this book, which provides handholds for the development and evaluation of measurement instruments in all clinical disciplines.
Автор: Grace Y. Yi, Aurore Delaigle, Paul Gustafson Название: Handbook of Measurement Error Models ISBN: 1138106402 ISBN-13(EAN): 9781138106406 Издательство: Taylor&Francis Рейтинг: Цена: 219470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Reference text for statistical methods and applications for measurement error models for: researchers who work with error-contaminated data, graduate students from statistics and biostatistics, analysts in multiple fields, including medical research, biosciences, nutritional studies, epidemiological studies and environmental studies.
Автор: Grace Y. Yi Название: Statistical Analysis with Measurement Error or Misclassification ISBN: 1493966383 ISBN-13(EAN): 9781493966387 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Inference Framework and Method.- Measurement Error and Misclassification: Introduction.- Survival Data with Measurement Error.- Recurrent Event Data with Measurement Error.- Longitudinal Data with Covariate Measurement Error.- Multi-State Models with Error-Prone Data.- Case-Control Studies with Measurement Error or Misclassification.- Analysis with Error in Responses.- Miscellaneous Topics.- Appendix.- References.
Автор: Stainer Название: Health Measurement Scales. 2004 ISBN: 0198528477 ISBN-13(EAN): 9780198528470 Издательство: Oxford Academ Цена: 27990.00 T Наличие на складе: Поставка под заказ. Описание: Gives details on cognitive requirements in answering questions, and how the influences scale development. This book synthesizes the theory of scale construction with practical advice, culled from the literature and the authors` experience, about how to develop and validate measurement scales to be used in the health sciences.
Автор: Strobl Название: The Rasch Model ISBN: 1138710466 ISBN-13(EAN): 9781138710467 Издательство: Taylor&Francis Рейтинг: Цена: 59190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a concise introduction to the topic of the Rasch model, which has become relatively well-known since it was used in the PISA study. In addition to a clear presentation of the underlying theory, the book also offers a practical introduction to fitting Rasch models by means of the freely available statistical software R.
Автор: Ren? L. Schilling , Franziska K?hn Название: Counterexamples in Measure and Integration ISBN: 1316519139 ISBN-13(EAN): 9781316519134 Издательство: Cambridge Academ Рейтинг: Цена: 116160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is a perfect companion to any course on measure theory, integration, real and functional analysis, providing more than 300 examples and counterexamples to the otherwise often rather theoretical courses. By knowing `what may go wrong` students will gain a better understanding of the standard course material.
Автор: Bolfarine Heleno, de Castro Mбrio, Galea Manuel Название: Regression Models for the Comparison of Measurement Methods ISBN: 3030579344 ISBN-13(EAN): 9783030579340 Издательство: Springer Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an updated account of the regression techniques employed in comparing analytical methods and to test the biases of one method relative to others - a problem commonly found in fields like analytical chemistry, biology, engineering, and medicine.
Автор: Sergii Masiuk, Alexander Kukush, Sergiy Shklyar, M Название: Radiation Risk Estimation: Based on Measurement Error Models ISBN: 3110441802 ISBN-13(EAN): 9783110441802 Издательство: Walter de Gruyter Рейтинг: Цена: 148700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This monograph discusses statistics and risk estimates applied to radiation damage under the presence of measurement errors. The first part covers nonlinear measurement error models, with a particular emphasis on efficiency of regression parameter estimators. In the second part, risk estimation in models with measurement errors is considered. Efficiency of the methods presented is verified using data from radio-epidemiological studies.
Contents:
Part I - Estimation in regression models with errors in covariates
Measurement error models
Linear models with classical error
Polynomial regression with known variance of classical error
Nonlinear and generalized linear models
Part II Radiation risk estimation under uncertainty in exposure doses
Overview of risk models realized in program package EPICURE
Estimation of radiation risk under classical or Berkson multiplicative error in exposure doses
Radiation risk estimation for persons exposed by radioiodine as a result of the Chornobyl accident
Elements of estimating equations theory
Consistency of efficient methods
Efficient SIMEX method as a combination of the SIMEX method and the corrected score method
Application of regression calibration in the model with additive error in exposure doses
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