Statistics for the Social Sciences: An Introduction, Howard Tokunaga

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.

Автор: Cumming, Geoff.
Название: Introduction to the New Statistics
ISBN: 1138825522 ISBN-13(EAN): 9781138825529
Издательство: Taylor&Francis
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Цена: 66340.00 T
Наличие на складе: Нет в наличии.
Описание: This is the first introductory statistics text to use an estimation approach from the start to help readers understand effect sizes, confidence intervals (CIs), and meta-analysis (‘the new statistics’). It is also the first text to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. In addition, the book explains NHST fully so students can understand published research. Numerous real research examples are used throughout. The book uses today’s most effective learning strategies and promotes critical thinking, comprehension, and retention, to deepen users’ understanding of statistics and modern research methods. The free ESCI (Exploratory Software for Confidence Intervals) software makes concepts visually vivid, and provides calculation and graphing facilities. The book can be used with or without ESCI. Other highlights include: - Coverage of both estimation and NHST approaches, and how to easily translate between the two. - Some exercises use ESCI to analyze data and create graphs including CIs, for best understanding of estimation methods. -Videos of the authors describing key concepts and demonstrating use of ESCI provide an engaging learning tool for traditional or flipped classrooms. -In-chapter exercises and quizzes with related commentary allow students to learn by doing, and to monitor their progress. -End-of-chapter exercises and commentary, many using real data, give practice for using the new statistics to analyze data, as well as for applying research judgment in realistic contexts. -Don’t fool yourself tips help students avoid common errors. -Red Flags highlight the meaning of "significance" and what p values actually mean. -Chapter outlines, defined key terms, sidebars of key points, and summarized take-home messages provide a study tool at exam time. -http://www.routledge.com/cw/cumming offers for students: ESCI downloads; data sets; key term flashcards; tips for using SPSS for analyzing data; and videos. For instructors it offers: tips for teaching the new statistics and Open Science; additional homework exercises; assessment items; answer keys for homework and assessment items; and downloadable text images; and PowerPoint lecture slides. Intended for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.

Автор: Stockemer Daniel
Название: Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in SPSS and Stata
ISBN: 3319991175 ISBN-13(EAN): 9783319991177
Издательство: Springer
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Цена: 65210.00 T
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Описание: In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey.

Автор: Punch Keith F
Название: Introduction to Social Research
ISBN: 1446240932 ISBN-13(EAN): 9781446240939
Издательство: Sage Publications
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Цена: 54910.00 T
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Описание: With new chapters on ethics and internet research, this bestselling text has been updated to continue to provide students with an invaluable and balanced introduction to the research process.

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: Sebastian M. Rasinger
Название: Quantitative Research in Linguistics: An Introduction
ISBN: 1441117229 ISBN-13(EAN): 9781441117229
Издательство: Bloomsbury Academic
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Цена: 168960.00 T
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Описание: Presents a comprehensive introduction to analysing quantitative linguistic data.

Starting with an definition of quantitative data, and how it differs from qualitative data, Seb Rasinger examines what the student linguist is trying to find out through analysing data, and how quantitative techniques can help arrive at meaningful and accurate conclusions. This expanded, 2nd edition now also includes a discussion of Analysis of Variance (ANOVA) and MANOVA, and provides a brief introduction to statistical meta-analysis. A companion website allows readers to download crib sheets and Excel templates for the main statistical tools.

The book introduces:
-using statistics
-variables
-reliability of data
-describing data
-analysing data
-testing hypotheses
-dealing with problematic data.

Each chapter includes graphs and figures explaining theory through worked examples, chapter summaries, and exercises to aid student understanding. An appendix containing a summary of statistical formulae, excel commands and statistical tables is included and is an invaluable resource.

Presenting a down-to-earth and readable introduction to quantitative research, this book is a useful how-to guide for students encountering quantitative data for the first time, or for postgraduates embarking on linguistic research projects.

Автор: Hardle, Wolfgang Karl Klinke, Sigbert Ronz, Bernd
Название: Introduction to statistics
ISBN: 3319177036 ISBN-13(EAN): 9783319177038
Издательство: Springer
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Цена: 46570.00 T
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Описание: Introduction to Statistics

Автор: Magallanes Reyes Jose Manuel
Название: Introduction to Data Science for Social and Policy Research
ISBN: 1107540259 ISBN-13(EAN): 9781107540255
Издательство: Cambridge Academ
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Цена: 31670.00 T
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Описание: Some of the most prominent figures in the Beat Movement were attracted to the new Cuba as a place where people would be racially equal, sexually free, and politically enfranchised. Todd Tietchen clearly documents the multiple ways in which the Beats engaged with the scene in Havana. He also demonstrates that even in these early years the Beat movement expounded a diverse but identifiable politics.

Автор: Dobson, Annette J. (university Of Queensland, Herston, Australia) Barnett, Adrian (queensland University Of Technology, Kelvin Grove, Australia)
Название: Introduction to generalized linear models, fourth edition
ISBN: 1138741515 ISBN-13(EAN): 9781138741515
Издательство: Taylor&Francis
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Цена: 38720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods. This new edition of a bestseller has been updated with new sections on non-linear associations, strategies for model selection, and a Postface on good statistical practice.