Latent Class Scaling Analysis

Latent Class Scaling Analysis PDF 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.

Latent Class Scaling Analysis

Latent Class Scaling Analysis PDF 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.

Advances in Latent Variable Mixture Models

Advances in Latent Variable Mixture Models PDF Author: Gregory R. Hancock
Publisher: IAP
ISBN: 1607526344
Category : Mathematics
Languages : en
Pages : 385

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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.

Anales de Economía Aplicada 2009

Anales de Economía Aplicada 2009 PDF Author:
Publisher: Delta Publicaciones
ISBN: 8492453699
Category :
Languages : en
Pages : 748

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Book Description


Bayesian Statistical Inference

Bayesian Statistical Inference PDF Author: Gudmund R. Iversen
Publisher: SAGE
ISBN: 9780803923287
Category : Mathematics
Languages : en
Pages : 88

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Book Description
Statisticians now generally acknowledge the theorectical importance of Bayesian inference, if not its practical validity. According to Gudmund R. Iversen, one reason for the lag in applications is that empirical researchers have lacked a grounding in the methodology. His volume provides this introduction and serves as a companion to #4, Tests of Significance.

Basic Math for Social Scientists

Basic Math for Social Scientists PDF Author: Timothy Hagle
Publisher: SAGE
ISBN: 9780803958753
Category : Mathematics
Languages : en
Pages : 108

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Book Description
Taking an informal approach, Hagle presents a review of the basic mathematical concepts that underlie most quantitative analysis in the social sciences. After an algebra review featuring sets and combinations, Hagle discusses limits and continuity. Calculus is presented next, with an introduction to differential calculus. Multivariate functions, partial derivatives and integral calculus are discussed; the author concludes with a discussion of matrix algebra. Aimed at readers who have taken one or two courses in algebra, this volume is packed with helpful definitions, equations, and examples as well as alternative notations. A useful appendix of common math symbol and Greek letters is also included.

Chaos and Catastrophe Theories

Chaos and Catastrophe Theories PDF Author: Courtney Brown
Publisher: SAGE Publications
ISBN: 1506339948
Category : Social Science
Languages : en
Pages : 88

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Book Description
What is chaos? How can it be measured? How are the models estimated? What is catastrophe? How is it modelled? How are the models estimated? These questions are the focus of this volume. Beginning with an explanation of the differences between deterministic and probabilistic models, Brown then introduces the reader to chaotic dynamics. Other topics covered are finding settings in which chaos can be measured, estimating chaos using nonlinear least squares and specifying catastrophe models. Finally a nonlinear system of equations that models catastrophe using real survey data is estimated.

Latent Class Analysis

Latent Class Analysis PDF 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.

Sorting Data

Sorting Data PDF Author: Anthony Peter Macmillan Coxon
Publisher: SAGE
ISBN: 9780803972377
Category : Mathematics
Languages : en
Pages : 108

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Book Description
How to collect, describe, compare and analyze data.

Multiple Regression in Practice

Multiple Regression in Practice PDF 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.

Internet Data Collection

Internet Data Collection PDF Author: Samuel J. Best
Publisher: SAGE
ISBN: 9780761927105
Category : Business & Economics
Languages : en
Pages : 104

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Book Description
The Internet has emerged as a popular medium for collecting data because of its ability to access millions of users, facilitate an array of research designs, & efficiently deliver & compile questionnaires. This volume offers advice on how to utilize the power of the Internet efficiently.