new developments in categorical data analysis for the social and behavioral sciences quantitative methodology series

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New Developments In Categorical Data Analysis For The Social And Behavioral Sciences

Author : L. Andries van der Ark
ISBN : 9781135704858
Genre : Business & Economics
File Size : 56. 5 MB
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Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of punishment for committing burglary. This new book is a collection of up-to-date studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting data sets. This volume concentrates on latent class analysis and item response theory. These methods use latent variables to explain the relationships among observed categorical variables. Latent class analysis yields the classification of a group of respondents according to their pattern of scores on the categorical variables. This provides insight into the mechanisms producing the data and allows the estimation of factor structures and regression models conditional on the latent class structure. Item response theory leads to the identification of one or more ordinal or interval scales. In psychological and educational testing these scales are used for individual measurement of abilities and personality traits. The focus of this volume is applied. After a method is explained, the potential of the method for analyzing categorical data is illustrated by means of a real data example to show how it can be used effectively for solving a real data problem. These methods are accessible to researchers not trained explicitly in applied statistics. This volume appeals to researchers and advanced students in the social and behavioral sciences, including social, developmental, organizational, clinical and health psychologists, sociologists, educational and marketing researchers, and political scientists. In addition, it is of interest to those who collect data on categorical variables and are faced with the problem of how to analyze such variables--among themselves or in relation to metric variables.

Multilevel Modeling Of Categorical Outcomes Using Ibm Spss

Author : Ronald H Heck
ISBN : 9781136672347
Genre : Psychology
File Size : 74. 12 MB
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This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced. Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors’ highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.

American Book Publishing Record

Author :
ISBN : UOM:39015066043202
Genre : American literature
File Size : 53. 12 MB
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The Sage Handbook Of Quantitative Methodology For The Social Sciences

Author : David Kaplan
ISBN : 9781483365879
Genre : Social Science
File Size : 77. 96 MB
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The SAGE Handbook of Quantitative Methodology for the Social Sciences is the definitive reference for teachers, students, and researchers of quantitative methods in the social sciences, as it provides a comprehensive overview of the major techniques used in the field. The contributors, top methodologists and researchers, have written about their areas of expertise in ways that convey the utility of their respective techniques, but, where appropriate, they also offer a fair critique of these techniques. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter and makes this an invaluable resource.

Categorical Data Analysis For The Behavioral And Social Sciences

Author : Razia Azen
ISBN : 9781136914232
Genre : Psychology
File Size : 66. 95 MB
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Featuring a practical approach with numerous examples, this book focuses on helping the reader develop a conceptual, rather than technical, understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analyses and emphasize specific research questions that can be addressed by each analytic procedure so that readers are able to address the research questions they wish to answer. To achieve this goal, the authors: Review the theoretical implications and assumptions underlying each of the procedures Present each concept in general terms and illustrate each with a practical example Demonstrate the analyses using SPSS and SAS and show the interpretation of the results provided by these programs. A "Look Ahead" section at the beginning of each chapter provides an overview of the material covered so that the reader knows what to expect. This is followed by one or more research questions that can be addressed using the procedure(s) covered in the chapter. A theoretical presentation of the material is provided and illustrated using realistic examples from the behavioral and social sciences. To further enhance accessibility, the new procedures introduced in the book are explicitly related to analytic procedures covered in earlier statistics courses, such as ANOVA and linear regression. Throughout each chapter the authors use practical examples to demonstrate how to obtain and interpret statistical output in both SPSS and SAS. Their emphasis on the relationship between the initial research question, the use of the software to carry out the analysis, and the interpretation of the output as it relates to the initial research question, allows readers to easily apply the material to their own research. The data sets for executing chapter examples using SAS Version 9.1.3 and/or IBM SPSS Version 18 are available on a book specific web site. These data sets and syntax allow readers to quickly run the programs and obtain the appropriate output. The book also includes both conceptual and analytic end-of-chapter exercises to assist instructors and students in evaluating the understanding of the material covered in each chapter. This book covers the most commonly used categorical data analysis procedures. It is written for those without an extensive mathematical background, and is ideal for graduate courses in categorical data analysis or cross-classified data analysis taught in departments of psychology, human development & family studies, sociology, education, and business. Researchers in these disciplines interested in applying these procedures to their own research will appreciate this book’s accessible approach.

Contemporary Issues In Exploratory Data Mining In The Behavioral Sciences

Author : John J. McArdle
ISBN : 9781135044091
Genre : Psychology
File Size : 36. 64 MB
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This book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different combinations of variables in large data sets. Methodological findings and conceptual models that explain reliable EDM techniques for predicting and understanding various risk mechanisms are integrated throughout. Numerous examples illustrate the use of these techniques in practice. Contributors provide insight through hands-on experiences with their own use of EDM techniques in various settings. Readers are also introduced to the most popular EDM software programs. A related website at color versions of the book’s figures, a supplemental paper to chapter 3, and R commands for some chapters. The results of EDM analyses can be perilous – they are often taken as predictions with little regard for cross-validating the results. This carelessness can be catastrophic in terms of money lost or patients misdiagnosed. This book addresses these concerns and advocates for the development of checks and balances for EDM analyses. Both the promises and the perils of EDM are addressed. Editors McArdle and Ritschard taught the "Exploratory Data Mining" Advanced Training Institute of the American Psychological Association (APA). All contributors are top researchers from the US and Europe. Organized into two parts--methodology and applications, the techniques covered include decision, regression, and SEM tree models, growth mixture modeling, and time based categorical sequential analysis. Some of the applications of EDM (and the corresponding data) explored include: selection to college based on risky prior academic profiles the decline of cognitive abilities in older persons global perceptions of stress in adulthood predicting mortality from demographics and cognitive abilities risk factors during pregnancy and the impact on neonatal development Intended as a reference for researchers, methodologists, and advanced students in the social and behavioral sciences including psychology, sociology, business, econometrics, and medicine, interested in learning to apply the latest exploratory data mining techniques. Prerequisites include a basic class in statistics.

Computer Science And Statistics

Author : Lynne Billard
ISBN : UOM:39015054008852
Genre : Computers
File Size : 46. 10 MB
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Canadian Journal Of Experimental Psychology

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ISBN : STANFORD:36105113532001
Genre : Psychology
File Size : 66. 10 MB
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Categorical Data Analysis For Geographers And Environmental Scientists

Author : Neil Wrigley
ISBN : 1930665571
Genre : Mathematics
File Size : 65. 73 MB
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Categorical Data Analysis for Geographers and Environmental Scientists, originally published in 1985, provided the first account of the new integrated approaches to the analysis of categorical data designed specifically to meet the needs of the geographer and the environmental scientist. It is intended to be the logical sequel to the type of multivariate statistics course that most researchers in those fields will have encountered. As such, it is much more comprehensive in scope than other texts in the field. The book contains more than 40 empiric illustrations (from oil exploration to transport planning in cities), which are designed to form an integrated part of the text. These serve to link the theory to the practice of geographical and environmental science research. Dr. Wrigley's book was a milestone in data analysis in the spatial sciences. It provided an account of a revolution that has swept through an area of statistical methodology and that has transformed the practice of data analysis for social and environmental scientists. The book is sensitive to the likely statistic/mathematic backgrounds of geographers and environmental scientists and is written in a fashion that should be accessible to all higher level undergraduate and postgraduate students, faculty and researchers in those areas. "One of the liveliest areas of statistics during the past 15 years has been the analysis of categorical data, counts or frequencies of different classes. Historically a poor relation of the analysis of continuous data, the field has been unified by the development of related families of models (logit, logistic, log-linear, and so on), which supersede or subsume earlier approaches based on measures of association or chi-square testing, many of them rather isolated or ad hoc. As, among geographers, Neil Wrigley has been the leading advocate and exponent of these new methods, it is especially appropriate that he should produce a guidebook for his colleagues. Thorough, professional and beautifully laid out, his text leads the reader steadily through the new terrain, with many helpful remarks on confusing points like notation . . . . He can be congratulated on a major contribution to the geographical literature." The Times Higher Education Supplement "The book must certainly be regarded as a major contribution to quantitative analysis in geography and environmental science. It will undoubtedly appear daunting to many readers at first, but is worth persevering with and has the merit that it will bear repeated reading as the expertise of the analyst develops." Transactions of the Institute of British Geographers "Wrigley has succeeded in producing a first-rate book which covers many of the major geographically relevant developments of categorical data analysis and presents them in an integrative, stimulating, and comprehensible way. The book should become both a standard text for courses on statistical methodology at the higher-level undergraduate and postgraduate level and a must for the researcher involved in the modelling of spatial choice behaviour and in analyzing categorical data." Geographical Analysis Neil Wrigley Ph.D. (Cambridge), D.Sc. (Bristol) is Professor of Geography at the University of Southampton, UK (where he has been Head of Department 1992-95, 1999-2001). Previously, he was Professor and Head of the Department of City & Regional Planning, University of Wales, Cardiff, and before that Reader in Geography at the University of Bristol. He has held visiting appointments at several universities in the USA, Canada and Australia, an Erskine Fellowship in New Zealand, and was Senior Research Fellow at St Peter's College, Oxford (1996-97). He is currently founding editor of the Journal of Economic Geography (Oxford University Press) and was previously (1988-93) editor of Transactions of the Institute of British Geographers.

Longitudinal Research In The Study Of Behavior And Development

Author : John R. Nesselroade
ISBN : 012515660X
Genre : Psychology
File Size : 26. 87 MB
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