Описание: 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.
Автор: Massimo Attanasio; Vincenza Capursi Название: Statistical Methods for the Evaluation of University Systems ISBN: 3790828289 ISBN-13(EAN): 9783790828283 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a collection of statistical methods and procedures to assess data coming from educational systems.
Описание: 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.
Описание: Educational policy-makers around the world constantly make decisions about how to use scarce resources to improve the education of children. Unfortunately, their decisions are rarely informed by evidence on the consequences of these initiatives in other settings. Nor are decisions typically accompanied by well-formulated plans to evaluate their causal impacts. As a result, knowledge about what works in different situations has been very slow to accumulate. Over the last several decades, advances in research methodology, administrative record keeping, and statistical software have dramatically increased the potential for researchers to conduct compelling evaluations of the causal impacts of educational interventions, and the number of well-designed studies is growing. Written in clear, concise prose, Methods Matter: Improving Causal Inference in Educational and Social Science Research offers essential guidance for those who evaluate educational policies. Using numerous examples of high-quality studies that have evaluated the causal impacts of important educational interventions, the authors go beyond the simple presentation of new analytical methods to discuss the controversies surrounding each study, and provide heuristic explanations that are also broadly accessible. Murnane and Willett offer strong methodological insights on causal inference, while also examining the consequences of a wide variety of educational policies implemented in the U.S. and abroad. Representing a unique contribution to the literature surrounding educational research, this landmark text will be invaluable for students and researchers in education and public policy, as well as those interested in social science. Features: * Includes numerous useful examples of high-quality studies * Helps readers produce better educational research * A clear and concise guide for evaluating causal impacts of educational interventions
Автор: Bethlehem Название: Applied Survey Methods - A Statistical Perspective ISBN: 0470373083 ISBN-13(EAN): 9780470373088 Издательство: Wiley Рейтинг: Цена: 19634.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Emphasizing the statistical aspects of survey methods, Applied Survey Methods describes the complete survey process, from design to publication. This valuable book provides an overview of the theory as well as the practical applications of survey research methods, such as item and unit non-response and the associated treatment.
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