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Author: C. Mitchell Dayton
Publisher: SAGE
ISBN: 9780761913238
Category : Medical
Languages : en
Pages : 108
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Book Description
The author presents an accessible guide to latent class scaling models for binary response variables. Covered in the book are: a survey on academic cheating; children's mastery of spatial tasks; medical diagnosis of lung disease.
Author: C. Mitchell Dayton
Publisher: SAGE
ISBN: 9780761913238
Category : Medical
Languages : en
Pages : 108
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Book Description
The author presents an accessible guide to latent class scaling models for binary response variables. Covered in the book are: a survey on academic cheating; children's mastery of spatial tasks; medical diagnosis of lung disease.
Author: C. Mitchel Dayton
Publisher:
ISBN: 9781412984720
Category :
Languages : en
Pages :
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Book Description
Author: Gregory R. Hancock
Publisher: IAP
ISBN: 1607526344
Category : Mathematics
Languages : en
Pages : 382
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Book Description
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: Allan L. McCutcheon
Publisher: SAGE
ISBN: 9780803927520
Category : Mathematics
Languages : en
Pages : 104
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Book Description
Latent class analysis is a powerful tool for analyzing the structure of relationships among categorically scored variables. It enables researchers to explore the suitability of combining two or more categorical variables into typologies or scales. It also provides a method for testing hypotheses regarding the latent structure among categorical variables.
Author: William Dale Berry
Publisher: SAGE
ISBN: 9780803920545
Category : Mathematics
Languages : en
Pages : 100
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Book Description
The authors provide a systematic treatment of the major problems involved in using regression analysis. They clearly and concisely discuss the consequences of violating the assumptions of the regression model, procedures for detecting violations, and strategies for dealing with these problems.
Author: Timothy Hagle
Publisher: SAGE
ISBN: 9780803972858
Category : Mathematics
Languages : en
Pages : 114
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Book Description
This book of worked-out examples provides an informal refresher course in algebra sets, limits and continuity, differential calculus, integral calculus, multivariate functions and partial derivatives.
Author: Kenneth D. Bailey
Publisher: SAGE
ISBN: 9780803952591
Category : Reference
Languages : en
Pages : 100
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Book Description
How do we group different subjects on a variety of variables? Should we use a classification procedure in which only the concepts are classified (typology), one in which only empirical entities are classified (taxonomy), or some combination of both? In this clearly written book, Bailey addresses these questions and shows how classification methods can be used to improve research. Beginning with an exploration of the advantages and disadvantages of classification procedures including those typologies that can be constructed without the use of a computer, the book covers such topics as clustering procedures (including agglomerative and divisive methods), the relationship among various classification techniques (including the relationship of monothetic, qualitative typologies to polythetic, quantitative taxonomies), a comparison of clustering methods and how these methods compare with related statistical techniques such as factor analysis, multidimensional scaling and systems analysis, and lists classification resources. This volume also discusses software packages for use in clustering techniques.
Author:
Publisher: Delta Publicaciones
ISBN: 8492453699
Category :
Languages : en
Pages : 748
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Book Description
Author: Roberto Franzosi
Publisher: SAGE
ISBN: 1412925258
Category : Language Arts & Disciplines
Languages : en
Pages : 201
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Book Description
Quantitative Narrative Analysis focuses on the following issues: 1. the fundamental features of narrative (as a specific type of text genre with certain invariant linguistic properties); 2. how the invariant properties of narrative can be used to structure narrative information in ways that basic qualitative information can then be analyzed quantitatively (story grammars, or Subject-Action-Object and respective modifiers, such as Time and Space of Action); 3. reliability (and how the computer and linguistic framework of the approach greatly increase data reliability); 4. data analysis (the book does not focus on general problems of data analysis, it will show how textual data can be analyzed with numbers).
Author: Shlomo S. Sawilowsky
Publisher: Information Age Publishing
ISBN:
Category : Education
Languages : en
Pages : 452
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Book Description
The invited authors of this edited volume have been prolific in the arena of Real Data Analysis (RDA) as it applies to the social and behavioral sciences, especially in the disciplines of education and psychology. Combined, this brain trust represents 3,247 articles in refereed journals, 127 books published, US $45.3 Million in extramural research funding, 34 teaching and 92 research awards, serve(d) as Editor/Assistant Editor/Editorial Board Member for 95 peer reviewed journals, and provide( d) ad hoc reviews for 362 journals. Their enormous footprint on real data analysis is showcased for professors, researchers, educators, administrators, and graduate students in the second text in the AERA/SIG ES Quantitative Methods series.
