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An Introduction to Optimal Designs for Social and Biomedical Research
The increasing cost of research means that scientists are in more urgent need of optimal design theory to increase the efficiency of parameter estimators and the statistical power of their tests. The objectives of a good design are to provide interpretable and accurate inference at minimal costs. Optimal design theory can help to identify a design with maximum power and maximum information for a statistical model and, at the same time, enable researchers to check on the model assumptions. This Book: Introduces optimal experimental design in an accessible format. Provides guidelines for practitioners to increase the efficiency of their designs, and demonstrates how optimal designs can reduce ...
Applied Optimal Designs
There is an increasing need to rein in the cost of scientific study without sacrificing accuracy in statistical inference. Optimal design is the judicious allocation of resources to achieve the objectives of studies using minimal cost via careful statistical planning. Researchers and practitioners in various fields of applied science are now beginning to recognize the advantages and potential of optimal experimental design. Applied Optimal Designs is the first book to catalogue the application of optimal design to real problems, documenting its widespread use across disciplines as diverse as drug development, education and ground water modelling. Includes contributions covering: Bayesian des...
New Developments in Psychometrics
At the International Meeting of the Psychometric Society in Osaka, Japan, more than 300 participants from 19 countries gathered to discuss recent developments in the theory and application of psychometrics. This volume of proceedings includes papers on methods of psychometrics such as the structural equation model and item response theory. The book is in eight major sections: keynote speeches and invited lectures; structural equation modeling and factor analysis; IRT and adaptive testing; multivariate statistical methods; scaling; classification methods; and independent and principal component analysis. The 80 papers collected here provide a valuable source of information for all who are concerned with psychometrics, mathematical and statistical applications, and data analysis in psychological and behavioral sciences.
Handbook of Multilevel Analysis
This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the biomedical sciences. The chapter authors are all leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is essential for empirical researchers in these fields.
How Media Inform Democracy
In this timely book, leading researchers consider how media inform democracy in six countries – the United States, the United Kingdom, Belgium, the Netherlands, Norway, and Sweden. Taking as their starting point the idea that citizens need to be briefed adequately with a full and intelligent coverage of public affairs so that they can make responsible, informed choices rather than act out of ignorance and misinformation, contributors use a comparative approach to examine the way in which the shifting media landscape is affecting and informing the democratic process across the globe. In particular, they ask: Can a comparative approach provide us with new answers to the question of how media...
A Guidebook of Statistical Software for the Social and Behavioral Sciences
Over 400 descriptions of statistical computer programs are described in one easy-to-use volume. Written in a user-friendly manner, this reference includes author and key word indices for easy accessibility.
Handbook of Item Response Theory
Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume 3: Applications presents applications of item response theory to practical testing problems. While item response theory may be known primarily for its advances in theoretical modeling of responses to test items, equal progress has been made in its providing innovative solutions to daily testing problems. This third volume in a three-volume set highlights the major applications. Specifically, this volume covers applications to test item calibration, item analysis, model fit checking, test-score interpretation, optimal test design, adaptive testing, standard setting, and forensic ana...
Objective Measurement
The measurement practice section illustrates the application of objective measurement methods to personality psychology, a sociological study of school environment, personnel management, pain research, motor performance, and curriculum development. It emphasizes practice over theory, showing how measurement practice contributes valuable perspectives on substantive theory. The measurement theory section describes the development of new measurement models that extend objective measurement into learning contexts, rank-ordered data, and multidimensional profiles composed of subtests. These are complemented by a study of the use of objective measurement to examine the construct validity of items, and an exploration of the impact of text anxiety and item order on measurements. The final section examines recent developments in mathematical programming techniques applied to test assembly, parameter estimation and generalizability theory.
