Categorical Data Analysis and Multilevel Modeling Using Rprovides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains datasets and R commands used in the book for students, and solutions for the end-of-chapter exercises on the instructor site.
Автор: Watkins, Daphne C Название: Secondary data in mixed methods research ISBN: 1506389570 ISBN-13(EAN): 9781506389578 Издательство: Sage Publications Рейтинг: Цена: 10613.00 р. Наличие на складе: Поставка под заказ.
Описание: Secondary Data in Mixed Methods Research by Daphne C. Watkins, is the latest contribution to the Mixed Methods Research Series. This brief text offers step-by-step procedures for incorporating existing data into mixed methods research designs, as well as identifying characteristics of datasets that make them good candidates for mixed methods projects.
Автор: Llaudet, Elena, Название: Data analysis for social science : ISBN: 0691199426 ISBN-13(EAN): 9780691199429 Издательство: Wiley Рейтинг: Цена: 16632.00 р. Наличие на складе: Поставка под заказ.
Описание: An ideal textbook for an introductory course on quantitative methods for social scientists-assumes no prior knowledge of statistics or codingData Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Using plain language and assuming no prior knowledge of statistics and coding, the book provides a step-by-step guide to analyzing real-world data with the statistical program R for the purpose of answering a wide range of substantive social science questions. It teaches not only how to perform the analyses but also how to interpret results and identify strengths and limitations.
This one-of-a-kind textbook includes supplemental materials to accommodate students with minimal knowledge of math and clearly identifies sections with more advanced material so that readers can skip them if they so choose. Analyzes real-world data using the powerful, open-sourced statistical program R, which is free for everyone to useTeaches how to measure, predict, and explain quantities of interest based on dataShows how to infer population characteristics using survey research, predict outcomes using linear models, and estimate causal effects with and without randomized experimentsAssumes no prior knowledge of statistics or codingSpecifically designed to accommodate students with a variety of math backgroundsProvides cheatsheets of statistical concepts and R codeSupporting materials available online, including real-world datasets and the code to analyze them, plus-for instructor use-sample syllabi, sample lecture slides, additional datasets, and additional exercises with solutionsLooking for a more advanced introduction? Consider Quantitative Social Science by Kosuke Imai. In addition to covering the material in Data Analysis for Social Science, it teaches diffs-in-diffs models, heterogeneous effects, text analysis, and regression discontinuity designs, among other things.
Автор: Karlheinz Gr?chenig Название: Foundations of Time-Frequency Analysis ISBN: 1461265681 ISBN-13(EAN): 9781461265689 Издательство: Springer Рейтинг: Цена: 10976.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Time-frequency analysis is a modern branch of harmonic analysis. The topics range from the elemen- tary theory of the short-time Fourier transform and classical results about the Wigner distribution via the recent theory of Gabor frames to quantita- tive methods in time-frequency analysis and the theory of pseudodifferential operators.
Автор: Prasad,Saurabh Название: Advances In Machine Learning And Image Analysis For Geoai ISBN: 0443190771 ISBN-13(EAN): 9780443190773 Издательство: Elsevier Science Рейтинг: Цена: 21222.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Treiman Donald J Название: Quantitative Data Analysis ISBN: 0470380039 ISBN-13(EAN): 9780470380031 Издательство: Wiley Рейтинг: Цена: 11714.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is an accessible introduction to quantitative data analysis, concentrating on the key issues facing those new to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results.
Название: Adventures in Social Research ISBN: 1412940834 ISBN-13(EAN): 9781412940832 Издательство: Sage Publications Рейтинг: Цена: 5542.00 р. Наличие на складе: Поставка под заказ.
Описание: Designed for both introductory and advanced research methods or statistics courses in sociology, political science, social work, criminal justice, and public health departments, this is a computer skills and data analysis textbook for any discipline that uses survey methods.
Описание: Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages.
Название: Analysis of longitudinal data ISBN: 0199676755 ISBN-13(EAN): 9780199676750 Издательство: Oxford Academ Рейтинг: Цена: 9375.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.
Описание: Uniquely amongst the numerous publications to appear on the work of the French social theorist Pierre Bourdieu, this book deals with data analysis, examining a range of techniques and instruments. After an introductory chapter outlining the key principles of Bourdieu’s theory, the book presents detailed examples of data being collected and analysed in a Bourdieusian way across various social science contexts. Both qualitative and quantitative methods are addressed, including analysis of the strengths and weaknesses of each method, as are common data collection procedures such as interview, observation and questionnaire. Examples of Multiple Correspondence Analysis are an important feature of the book, since this was an approach particularly favoured by Bourdieu. In each case study, the pros and cons of different approaches are highlighted and the qualitative/quantitative debate is thoroughly explored. Overall, the book offers readers a blueprint to develop their own methodological plans for using Bourdieu in research practice.
Автор: Michael J. Brusco; Stephanie Stahl Название: Branch-and-Bound Applications in Combinatorial Data Analysis ISBN: 1441920390 ISBN-13(EAN): 9781441920393 Издательство: Springer Рейтинг: Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Supplementary material, such as computer programs, are provided on the world wide web.Dr. Brusco is an editorial board member for the Journal of Classification, and a member of the Board of Directors for the Classification Society of North America.
Автор: John Ruggiero Название: Frontiers in Major League Baseball ISBN: 1461427347 ISBN-13(EAN): 9781461427346 Издательство: Springer Рейтинг: Цена: 17684.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Frontiers in Major League Baseball applies Data Envelopment Analysis (DEA) -- a nonparametric linear programming model -- to Major League Baseball. Topics include applications of DEA to the analysis of free agent salary arbitration, technology changes over time and the ranking of players.
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