Download or read book Latent Class Scaling Analysis written by C. Mitchell Dayton and published by SAGE. This book was released on 1998 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Advances in Latent Variable Mixture Models written by Gregory R. Hancock and published by IAP. This book was released on 2007-11-01 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Multiple Regression in Practice written by William Dale Berry and published by SAGE. This book was released on 1985-05 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Anales de Econom a Aplicada 2009 written by and published by Delta Publicaciones. This book was released on 2009 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Basic Math for Social Scientists written by Timothy Hagle and published by SAGE. This book was released on 1996-03 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Typologies and Taxonomies written by Kenneth D. Bailey and published by SAGE. This book was released on 1994-06-13 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Real Data Analysis written by Shlomo S. Sawilowsky and published by Information Age Publishing. This book was released on 2007 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Bayesian Statistical Inference written by Gudmund R. Iversen and published by SAGE. This book was released on 1984-11 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Sorting Data written by Anthony Peter Macmillan Coxon and published by SAGE. This book was released on 1999-07-08 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to collect, describe, compare and analyze data.
Download or read book Latent Growth Curve Modeling written by Kristopher J. Preacher and published by SAGE Publications. This book was released on 2008-06-27 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: Latent growth curve modeling (LGM)—a special case of confirmatory factor analysis designed to model change over time—is an indispensable and increasingly ubiquitous approach for modeling longitudinal data. This volume introduces LGM techniques to researchers, provides easy-to-follow, didactic examples of several common growth modeling approaches, and highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit. The book covers the basic linear LGM, and builds from there to describe more complex functional forms (e.g., polynomial latent curves), multivariate latent growth curves used to model simultaneous change in multiple variables, the inclusion of time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models. The authors also highlight approaches to dealing with missing data, different estimation methods, and incorporate discussion of model evaluation and comparison within the context of LGM. The models demonstrate how they may be applied to longitudinal data derived from the NICHD Study of Early Child Care and Youth Development (SECCYD).. Key Features · Provides easy-to-follow, didactic examples of several common growth modeling approaches · Highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit · Explains the commonalities and differences between latent growth model and multilevel modeling of repeated measures data · Covers the basic linear latent growth model, and builds from there to describe more complex functional forms such as polynomial latent curves, multivariate latent growth curves, time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models
Download or read book Internet Data Collection written by Samuel J. Best and published by SAGE. This book was released on 2004-04-29 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Quantitative Narrative Analysis written by Roberto Franzosi and published by SAGE. This book was released on 2010 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).
Download or read book American Book Publishing Record written by and published by . This book was released on 1999 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Spatial Regression Models written by Michael Don Ward and published by SAGE. This book was released on 2008-02-29 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assuming no prior knowledge this book is geared toward social science readers, unlike other volumes on this topic. The text illustrates concepts using well known international, comparative, and national examples of spatial regression analysis. Each example is presented alongside relevant data and code, which is also available on a Web site maintained by the authors.
Download or read book Association Models written by Raymond Sin-Kwok Wong and published by SAGE Publications. This book was released on 2010-02-09 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers readers invaluable guidance on handling cross-classified data Broadening the scope of association models beyond the typical sociological and psychological fields, author Raymond S. Wong shows readers how to analyze and comprehend any social science data presented in cross-classified formats. Through a careful exposition of various association models, the text examines the underlying structure of odds-ratios, offering a unified framework for students and researchers in the process. Rich illustrative examples (from data generated by the General Social Survey and other sources) demonstrate why and how association models are a better option than conventional log-linear models or non-parametric specifications. This resource is appropriate for graduate students and researchers across the social and behavioral sciences who need to chose and apply the appropriate statistical tools to decipher and interpret cross-classified data.
Download or read book Multiple Time Series Models written by Patrick T. Brandt and published by SAGE Publications. This book was released on 2006-09-21 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many analyses of time series data involve multiple, related variables. Multiple Time Series Models presents many specification choices and special challenges. This book reviews the main competing approaches to modeling multiple time series: simultaneous equations, ARIMA, error correction models, and vector autoregression. The text focuses on vector autoregression (VAR) models as a generalization of the other approaches mentioned. Specification, estimation, and inference using these models is discussed. The authors also review arguments for and against using multi-equation time series models. Two complete, worked examples show how VAR models can be employed. An appendix discusses software that can be used for multiple time series models and software code for replicating the examples is available. Key Features Offers a detailed comparison of different time series methods and approaches. Includes a self-contained introduction to vector autoregression modeling. Situates multiple time series modeling as a natural extension of commonly taught statistical models.
Download or read book Latent Class Scaling Analysis A Sage University Papers Series Quantitative Applications in the Social Sciences 07 126 written by C. Mitchel Dayton and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
