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Meta-Analysis
Meta-analysis is a series of systematic approaches for synthesizing quantitative research. Since its introduction in the early 1980s, statistical and methodological aspects of meta-analysis have been substantially refined and advanced. This volume brings together researchers from mathematical statistics, research methodology, medical and social sciences who present new developments and applications of meta-analysis. The unique and common problems of these different fields as well as some proposed solutions are presented. The first part of the book is devoted to statistical and methodological advances, with five chapters addressing important statistical issues that are currently under debate. The possibilities and limits of the application of meta-analysis to generalize causal relationships or to evaluate medical treatments, for example, are also discussed. In the second part, applications of meta-analysis are presented, ranging from quality control in the pharmaceutical industry to attitudinal research in social psychology, illustrating the breadth of practical and scientific problems to which meta-analysis can be applied.
Meta-analysis
Table of Contents Preface bull; Part I Theory bull; Homogeneity Tests in Meta-Analysis, Joachim Hartung, Dogan Arga and Kepher Makambi bull; Meta-Analysis: A General Principle for Estimating Heterogeneity - Variance in Several Models, Uwe Malzahn bull; Differences in the Results of Three Meta-Analytical Approaches: Myths and Reality, Ralf Schulze, Heinz Holling, Heiko Gromann, Andreas Jutting and Michaela Brocke bull; An Alternative Test Procedure for Meta-Analysis, Joachim Hartung and Guido Knapp bull; Statistical Tests for the Detection of Bias in Meta-Analysis, Guido Schwarzer, Gerd Antes and Martin Schumacher bull; Issues of Reviews and Meta-Analyses of Observational Studies, Wilhelm Sau...
Econometric Models in Marketing
In the 16th Edition of "Advances in Econometrics", we present twelve papers discussing the current interface between Marketing and Econometrics. The authors are leading scholars in the fields and introduce the latest models for analysing marketing data. The papers are representative of the types of problems and methods that are used within the field of marketing. Marketing focuses on the interaction between the firm and the consumer. Economics encompasses this interaction as well as many others. Economics, along with psychology and sociology, provides a theoretical foundation for marketing. Given the applied nature of marketing research, measurement and quantitative issues arise frequently. ...
Linear Models for Optimal Test Design
Wim van der Linden was just given a lifetime achievement award by the National Council on Measurement in Education. There is no one more prominent in the area of educational testing. There are hundreds of computer-based credentialing exams in areas such as accounting, real estate, nursing, and securities, as well as the well-known admissions exams for college, graduate school, medical school, and law school - there is great need on the theory of testing. This book presents the statistical theory and practice behind constructing good tests e.g., how is the first test item selected, how are the next items selected, and when do you have enough items.
Psychological Theories from a Structuralist Point of View
Metatheoretical and, more generally, methodological analyses of psychological problems and theories have a long tradition; however, their impact on scientific practice, especially on the clarification and testing of existing psychological theories and the formulation of new ones, has so far been less than spectacular. The increased interest in theoretical psychology visible during the past ten or twenty years is associated with the hope that a change of this situation will gradually be effected. Thus, in their preface to the proceedings of the founding conference of The International Society for Theoretical Psychology, Baker et al. (1987, pp. Vf)1 take up 2 once more the objectives of a theo...
Language and Emotion. Volume 2
The handbook Language and Emotion is intended to give a historical and systematic profile of the area. It will aim to connect contemporary and historical theories, approaches, and applications and to cover eastern and western perspectives of language, communication, and emotion. It will present all relevant aspects of language and emotion and thus contribute significantly to research in the field of linguistics and semiotics of emotion.
mODa 10 – Advances in Model-Oriented Design and Analysis
This book collects the proceedings of the 10th Workshop on Model-Oriented Design and Analysis (mODa). A model-oriented view on the design of experiments, which is the unifying theme of all mODa meetings, assumes some knowledge of the form of the data-generating process and naturally leads to the so-called optimum experimental design. Its theory and practice have since become important in many scientific and technological fields, ranging from optimal designs for dynamic models in pharmacological research, to designs for industrial experimentation, to designs for simulation experiments in environmental risk management, to name but a few. The methodology has become even more important in recent...
mODa 11 - Advances in Model-Oriented Design and Analysis
This volume contains pioneering contributions to both the theory and practice of optimal experimental design. Topics include the optimality of designs in linear and nonlinear models, as well as designs for correlated observations and for sequential experimentation. There is an emphasis on applications to medicine, in particular, to the design of clinical trials. Scientists from Europe, the US, Asia, Australia and Africa contributed to this volume of papers from the 11th Workshop on Model Oriented Design and Analysis.
mODa 9 – Advances in Model-Oriented Design and Analysis
Statisticians and experimentalists will find the latest trends in optimal experimental design research. Some papers are pioneering contributions, leading to new open research problems. It is a colection of peer reviewed papers.
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...
