Applications of Latent Trait and Latent Class Models in the Social Sciences
Author | : Jürgen Rost |
Publisher | : |
Total Pages | : 422 |
Release | : 1997 |
Genre | : Latent variables |
ISBN | : 9783893254644 |
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Author | : Jürgen Rost |
Publisher | : |
Total Pages | : 422 |
Release | : 1997 |
Genre | : Latent variables |
ISBN | : 9783893254644 |
Author | : J.P. Keeves |
Publisher | : Springer Science & Business Media |
Total Pages | : 1405 |
Release | : 2013-11-11 |
Genre | : Education |
ISBN | : 9401733686 |
The aim of the Handbook is to present readily accessible, but scholarly sources of information about educational research in the Asia-Pacific region. The scale and scope of the Handbook is such that the articles included in it provide substantive contributions to knowledge and understanding of education in the Asia region. In so doing, the articles present the problems and issues facing education in the region and the findings of research conducted within the region that contribute to the resolution of these problems and issues. Moreover, since new problems and issues are constantly arising, the articles in the Handbook also indicate the likely directions of future developments. The different articles within the Handbook seek to conceptualize the problems in each specific content area under review, provide an integration of the research conducted within that area, the theoretical basis of the research the practical implications of the research and the contribution of the research towards the resolution of the problems identified. Thus, the articles do not involve the reporting of newly conducted research, but rather require a synthesis of the research undertaken in a particular area, with reference to the research methods employed and the theoretical frameworks on which the research is based. In general, the articles do not advocate a single point of view, but rather, present alternative points of view and comment on the debate and disagreements associated with the conduct and findings of the research. Furthermore, it should be noted, that the Handbook is not concerned with research methodology, and only considers the methods employed in inquiry in so far as the particular methods of research contribute to the effective investigation of problems and issues that have arisen in the conduct and provision of education at different levels within the region.
Author | : R. Langeheine |
Publisher | : Springer Science & Business Media |
Total Pages | : 309 |
Release | : 2013-06-29 |
Genre | : Psychology |
ISBN | : 1475756445 |
This volume is based on an international conference held at the Institute for Science Education (IPN) in Kiel in August 1985. The IPN is a national research institute for science education of the Federal Republic of Germany associated with the University of Kiel. The aim of this conference-to treat latent trait and latent class models under comparative points of view as well as under application aspects-was realized in many stimulating contributions and very different ways. We asked the authors of these papers to work out their contributions for publication here, not only because many of the papers present new material, but also because the time is ripe for a comprehen sive volume, working up the widespread literature of the past ten years in this field. We have tried to compile a volume that will be of interest to statistically oriented researchers in a variety of disciplines, including psychology, sociology, education, political science, epidemiology, and the like. Although the chapters assume a reasonably high level of methodo logical sophistication, we hope that the book will find its way into advanced courses in the above fields. We are grateful to the IPN for organizing the conference, to our contributors for their untiring efforts in revising their chapters for publication, and to the staff of Plenum Publishing Corporation for helping to make this book a reality.
Author | : Gregory R. Hancock |
Publisher | : Routledge |
Total Pages | : 515 |
Release | : 2018-11-15 |
Genre | : Education |
ISBN | : 1317627792 |
The Reviewer’s Guide to Quantitative Methods in the Social Sciences provides evaluators of research manuscripts and proposals in the social and behavioral sciences with the resources they need to read, understand, and assess quantitative work. 35 uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The second edition of this valuable resource updates readers on each technique’s key principles, appropriate usage, underlying assumptions and limitations, providing reviewers with the information they need to offer constructive commentary on works they evaluate. Written by methodological and applied scholars, this volume is also an indispensable author’s reference for preparing sound research manuscripts and proposals.
Author | : Michael Charles Edwards |
Publisher | : Routledge |
Total Pages | : 298 |
Release | : 2013 |
Genre | : Education |
ISBN | : 1848729510 |
First Published in 2013. Routledge is an imprint of Taylor & Francis, an informa company.
Author | : Yaacov M. Petscher |
Publisher | : Routledge |
Total Pages | : 390 |
Release | : 2013 |
Genre | : Education |
ISBN | : 0415893488 |
The mission of this book is to address advances in quantitative methods that are not covered in other texts, such as item response theory, the family of multilevel models (including cross-classified and growth), and mixture modeling.
Author | : Jacques A. Hagenaars |
Publisher | : Cambridge University Press |
Total Pages | : 478 |
Release | : 2002-06-24 |
Genre | : Social Science |
ISBN | : 1139439235 |
Applied Latent Class Analysis introduces several innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field of latent class analysis contributed essays to this volume, each presenting a key innovation to the basic latent class model and illustrating how it can prove useful in situations typically encountered in actual research.
Author | : Gregory R. Hancock |
Publisher | : IAP |
Total Pages | : 382 |
Release | : 2007-11-01 |
Genre | : Mathematics |
ISBN | : 1607526344 |
The current volume, Advances in Latent Variable Mixture Models, contains chapters by all of the speakers who participated in the 2006 CILVR conference, providing not just a snapshot of the event, but more importantly chronicling the state of the art in latent variable mixture model research. The volume starts with an overview chapter by the CILVR conference keynote speaker, Bengt Muthén, offering a “lay of the land” for latent variable mixture models before the volume moves to more specific constellations of topics. Part I, Multilevel and Longitudinal Systems, deals with mixtures for data that are hierarchical in nature either due to the data’s sampling structure or to the repetition of measures (of varied types) over time. Part II, Models for Assessment and Diagnosis, addresses scenarios for making judgments about individuals’ state of knowledge or development, and about the instruments used for making such judgments. Finally, Part III, Challenges in Model Evaluation, focuses on some of the methodological issues associated with the selection of models most accurately representing the processes and populations under investigation. It should be stated that this volume is not intended to be a first exposure to latent variable methods. Readers lacking such foundational knowledge are encouraged to consult primary and/or secondary didactic resources in order to get the most from the chapters in this volume. Once armed with the basic understanding of latent variable methods, we believe readers will find this volume incredibly exciting.
Author | : Mark Stemmler |
Publisher | : Springer |
Total Pages | : 385 |
Release | : 2015-10-19 |
Genre | : Social Science |
ISBN | : 3319205854 |
This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful.
Author | : G. Arminger |
Publisher | : Springer Science & Business Media |
Total Pages | : 603 |
Release | : 2013-06-29 |
Genre | : Psychology |
ISBN | : 1489912924 |
Contributors thoroughly survey the most important statistical models used in empirical reserch in the social and behavioral sciences. Following a common format, each chapter introduces a model, illustrates the types of problems and data for which the model is best used, provides numerous examples that draw upon familiar models or procedures, and includes material on software that can be used to estimate the models studied. This handbook will aid researchers, methodologists, graduate students, and statisticians to understand and resolve common modeling problems.