R companion for applied statistics ii, Rasco, Danney

Автор: Morgan
Название: Counterfactuals and Causal Inference
ISBN: 1107694167 ISBN-13(EAN): 9781107694163
Издательство: Cambridge Academ
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Цена: 38010.00 T
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Описание: Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.

Автор: Frankfort-Nachmias Chava, Leon-Guerrero Anna Y., Davis Georgiann
Название: Social Statistics for a Diverse Society, 9 ed
ISBN: 1544339739 ISBN-13(EAN): 9781544339733
Издательство: Sage Publications
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Цена: 315960.00 T
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Описание: The Ninth Edition of Social Statistics for a Diverse Society continues to emphasize intuition and common sense, while demonstrating the link between the practice of statistics and important social issues. Recognizing that we live in a world characterized by a growing diversity and richness of social differences, best-selling authors Frankfort-Nachmias, Leon-Guerrero, and Davis help you learn key statistical concepts through real research examples related to the dynamic interplay of race, class, gender, and other social variables. The text also helps you develop important skills such as problem-solving (through a rich variety of exercises), use of statistical software (both SPSS and Excel), and interpreting research literature.

Автор: Kellstedt Paul M
Название: Stata Companion for the Third Edition of The Fundamentals of
ISBN: 1108447961 ISBN-13(EAN): 9781108447966
Издательство: Cambridge Academ
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Цена: 24280.00 T
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Описание: This workbook teaches students how to use the popular Stata statistical software program to assess causal relationships using real political science data. It parallels the main Kellstedt and Whitten text, which allows students to apply the lessons and techniques they learn in each chapter in a statistical software setting.

Автор: Sloan, Luke.
Название: The Sage handbook of social media research methods /
ISBN: 1473916321 ISBN-13(EAN): 9781473916326
Издательство: Sage Publications
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Цена: 142560.00 T
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Описание: The SAGE Handbook of Social Media Research Methods offers a step-by-step guide to overcoming the challenges inherent in research projects that deal with ‘big and broad data’, from the formulation of research questions through to the interpretation of findings. The handbook includes chapters on specific social media platforms such as Twitter, Sina Weibo and Instagram, as well as a series of critical chapters. The holistic approach is organised into the following sections: Conceptualising & Designing Social Media Research Collection & Storage Qualitative Approaches to Social Media Data Quantitative Approaches to Social Media Data Diverse Approaches to Social Media Data Analytical Tools Social Media Platforms This handbook is the single most comprehensive resource for any scholar or graduate student embarking on a social media project. 

Автор: Huizingh E
Название: Applied Statistics with SPSS
ISBN: 1412919312 ISBN-13(EAN): 9781412919319
Издательство: Sage Publications
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Цена: 58080.00 T
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Описание: A self-study guide to SPSS which contains screen dumps and exercises, glossary terms and worked examples. It covers a self-study guide for learning how to use SPSS and a reference guide for selecting the appropriate statistical technique and a do-it-yourself guide for analysing data and interpreting the results.

Автор: Scott M. Lynch
Название: Introduction to Applied Bayesian Statistics and Estimation for Social Scientists
ISBN: 1441924345 ISBN-13(EAN): 9781441924346
Издательство: Springer
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Цена: 144410.00 T
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Описание: The key feature of this book is that it covers models that are most commonly used in social science research - including the linear regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data example in painstaking detail.

Автор: Brown, Timothy A.,
Название: Confirmatory Factor Analysis for Applied Research, Second Edition
ISBN: 1462515363 ISBN-13(EAN): 9781462515363
Издательство: Taylor&Francis
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Цена: 61240.00 T
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Описание: With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and exploratory factor analysis (EFA); and report results from a CFA study. It is filled with useful advice and tables that outline the procedures. The companion website (www.guilford.com/brown3-materials) offers data and program syntax files for most of the research examples, as well as links to CFA-related resources.

New to This Edition
*Updated throughout to incorporate important developments in latent variable modeling.
*Chapter on Bayesian CFA and multilevel measurement models.
*Addresses new topics (with examples): exploratory structural equation modeling, bifactor analysis, measurement invariance evaluation with categorical indicators, and a new method for scaling latent variables.
*Utilizes the latest versions of major latent variable software packages.

Автор: Little Todd D., Schnabel Kai U., Baumert Jrgen
Название: Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples
ISBN: 113801253X ISBN-13(EAN): 9781138012530
Издательство: Taylor&Francis
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Цена: 57150.00 T
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Описание: Experts on handling longitudinal & multiple-group data contribute various, practical, analytic approaches including SEM,LTA,GLM, and multi-level techniques.Includes helpful tips, applications and examples. Grad students & researchers in social & behavior

Автор: Pituch
Название: Applied Multivariate Statistics for the Social Sciences
ISBN: 0415836654 ISBN-13(EAN): 9780415836654
Издательство: Taylor&Francis
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Цена: 234790.00 T
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Описание: Noted for its breadth and depth of coverage of multivariate statistics and its emphasis on power, this classic text focuses on a conceptual understanding of the material rather than on proving results. Numerous examples, along with use of SAS and SPSS, indicate what the numbers mean and how to interpret the results.

Автор: Larson Hall Jenifer
Название: A guide to doing statistics in second language research using SPSS and R
ISBN: 1138024570 ISBN-13(EAN): 9781138024571
Издательство: Taylor&Francis
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Цена: 91860.00 T
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Описание: In A Guide to Doing Statistics in Second Language Research Using SPSS and R, Second Edition, Jenifer Larson-Hall equips readers with a thorough understanding and the practical skills necessary to conducting and interpreting statisical research effectively using SPSS and R, ideal for graduate students and researchers in SLA, social sciences, and applied lingustics.

Автор: Pituch Keenan A
Название: Applied Multivariate Statistics for the Social Sciences
ISBN: 0415836662 ISBN-13(EAN): 9780415836661
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание: Noted for its breadth and depth of coverage of multivariate statistics and its emphasis on power, this classic text focuses on a conceptual understanding of the material rather than on proving results. Numerous examples, along with use of SAS and SPSS, indicate what the numbers mean and how to interpret the results.

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 60190.00 T
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.