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Essays on Item Response Theory
This collection of papers provides an up to date treatment of item response theory, an important topic in educational testing.
Rasch Models
Thirty-two years after the publication of the legendary 'Rasch book' (Rasch, 1960), the rich literature on the Rasch model and its extensions was scattered in journals and many less accessible sources, including 'grey' literature. When asked by students or junior researchers for references to the Rasch model, it was a typical reaction on the part of the editors to state that it was difficult to name one, or just a few; actually, only a whole list of references differing in notation and level of formal abstraction seemed to meet the request in most cases. Therefore, in 1992 the editors decided to invite a number of outstanding authors in the field of Rasch modeling to contribute to a book pre...
Structures in Science
Although there is an abundance of highly specialized monographs, learned collections and general introductions to the philosophy of science, only a few 25 years. synthetic monographs and advanced textbooks have appeared in the last The philosophy of science seems to have lost its self-confidence. The main reason for such a loss is that the traditional analytical, logical-empiricist approaches to the philosophy of science had to make a number of concessions, especially in response to the work of Popper, Kuhn and Lakatos. With Structures in Science I intend to present both a synthetic mono graph and an advanced textbook that accommodates and integrates the insight of these philosophers, in what I like to call a neo-classical approach. The resulting monograph elaborates several important topics from one or more perspectives, by distinguishing various kinds of research programs, and various ways of explaining and reducing laws and concepts, and by summarizing an integrated explication (presented in From Instrumentalism to Constructive Realism, ICR) of the notions of confirmation, empirical progress and truth approximation.
Handbook of Structural Equation Modeling
The first comprehensive structural equation modeling (SEM) handbook, this accessible volume presents both the mechanics of SEM and specific SEM strategies and applications. The editor, contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results.
Twenty Interviews With Psychometric Society Presidents
Twenty Interviews with Psychometric Society Presidents tells the stories of the people who are the driving forces of psychometric research, teaching and practice. In semi-structured interviews, twenty presidents of the Psychometric Society share how they moved into the psychometric field, what inspired them to pursue this path, and what still drives them to do their research. They also reflect on the current status, history, and future of their own field, considering psychometrics' most significant historical achievements, as well as the major challenges that lie ahead. This curated collection provides a wealth of historical knowledge that is relevant for every practicing psychometrician. Introspective and insightful, it exhibits the wide array of opinions and visions in the field. Readers are invited to critically reflect on what holds this diverse field together, and what challenges and opportunities are on the horizon.
Happiness
A leading economist discusses the potential of happiness research (the quantification of well-being) to answer important questions that standard economics methods are unable to analyze. Revolutionary developments in economics are rare. The conservative bias of the field and its enshrined knowledge make it difficult to introduce new ideas not in line with received theory. Happiness research, however, has the potential to change economics substantially in the future. Its findings, which are gradually being taken into account in standard economics, can be considered revolutionary in three respects: the measurement of experienced utility using psychologists' tools for measuring subjective well-b...
The Mind's Arrows
This title provides an introduction to assumptions, algorithms, and techniques of causal Bayes nets and graphical causal models in the context of psychological examples. It demonstrates their potential as a powerful tool for guiding experimental inquiry.
Citizen Support for Democratic and Autocratic Regimes
Citizen Support for Democratic and Autocratic Regimes takes a political-culture perspective on the struggle between democracy and autocracy by examining how these regimes fare in the eyes of their citizens. Taking a globally comparative approach, it studies both the levels as well as the individual- and system-level sources of political support in democracies and autocracies worldwide. The book develops an explanatory model of regime support which includes both individual- and system level determinants and specifies not only the general causal mechanisms and pathways through which these determinants affect regime support but also spells out how these effects might vary between the two types ...
On Model Uncertainty and its Statistical Implications
In this book problems related to the choice of models in such diverse fields as regression, covariance structure, time series analysis and multinomial experiments are discussed. The emphasis is on the statistical implications for model assessment when the assessment is done with the same data that generated the model. This is a problem of long standing, notorious for its difficulty. Some contributors discuss this problem in an illuminating way. Others, and this is a truly novel feature, investigate systematically whether sample re-use methods like the bootstrap can be used to assess the quality of estimators or predictors in a reliable way given the initial model uncertainty. The book should prove to be valuable for advanced practitioners and statistical methodologists alike.
