Statistics in Social Work: An Introduction to Practical Applications, Batchelor Amy

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: Batchelor Amy
Название: Statistics in Social Work: An Introduction to Practical Applications
ISBN: 0231193262 ISBN-13(EAN): 9780231193269
Издательство: Wiley
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Цена: 79200.00 T
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Описание: This concise and approachable introduction to statistics limits its coverage to the concepts most relevant to social workers. Besides presenting key concepts, it focuses on real-world examples that students will encounter in a social work practice.

Автор: Jeffrey R. Harring, Laura M. Stapleton, S. Natasha Beretvas
Название: Advances in Multilevel Modeling for Educational Research: Addressing Practical Issues Found in Real-World Applications
ISBN: 1681233274 ISBN-13(EAN): 9781681233277
Издательство: Mare Nostrum (Eurospan)
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Цена: 50820.00 T
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Описание: Examines the latest methodological innovations, refinements and state-of-the-art developments and perspectives in the analysis of multilevel data, including current best practices of standard techniques. This volume will be particularly useful to researchers in educational policy, educational psychology including school psychology and special education, and clinical psychology.

Автор: Jeffrey R. Harring, Laura M. Stapleton, S. Natasha Beretvas
Название: Advances in Multilevel Modeling for Educational Research: Addressing Practical Issues Found in Real-World Applications
ISBN: 1681233282 ISBN-13(EAN): 9781681233284
Издательство: Mare Nostrum (Eurospan)
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Цена: 94250.00 T
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Описание: Examines the latest methodological innovations, refinements and state-of-the-art developments and perspectives in the analysis of multilevel data, including current best practices of standard techniques. This volume will be particularly useful to researchers in educational policy, educational psychology including school psychology and special education, and clinical psychology.

Автор: Mollett A et al
Название: Communicating Your Research with Social Media A Practical Guide to Using Blogs, Podcasts, Data Visualisations and Video
ISBN: 1412962226 ISBN-13(EAN): 9781412962223
Издательство: Sage Publications
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Цена: 44340.00 T
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Описание: This book will help researchers to maximize the impact and highlight the innovation of their research by showing them how to get the most out of social media when evaluating, presenting and disseminating their work.

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
Наличие на складе: Невозможна поставка.
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: Francis K.O. Yuen
Название: Conceptual and Practical Research and Statistics for Social Workers
ISBN: 1516531213 ISBN-13(EAN): 9781516531219
Издательство: Mare Nostrum (Eurospan)
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Цена: 90250.00 T
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Описание: Conceptual and Practical Research and Statistics for Social Workers prepares students to intuitively theorize and utilize research and statistics within their social work practice. The book fosters the skills, savvy, and knowledge students need to interpret, apply, and produce studies within the discipline, enhancing their ability to become better consumers and producers of social work research.

The book features two main sections, Research and Statistics, and its organization reflects the basic research process. The text begins with coverage of research questions and design and then introduces various data collection methods and instruments. Students then learn how to effectively analyze data and report and disseminate key findings. Throughout, readers build their understanding of methodological, ethical, and logical concepts in research and statistics, become familiar with basic needs assessment and program evaluation, develop the ability to choose appropriate statistics, and more.

Employing everyday language, social work examples, metaphors, humor, and visual mapping, Conceptual and Practical Research and Statistics for Social Workers helps students tap into their critical thinking and problem-solving skills to develop key competencies. The text is an ideal resource for both undergraduate and graduate-level programs in social work.

Автор: Hancock Dawson R.
Название: Doing Case Study Research: A Practical Guide for Beginning Researchers
ISBN: 0807758132 ISBN-13(EAN): 9780807758137
Издательство: Turpin
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Цена: 35110.00 T
Наличие на складе: Невозможна поставка.
Описание: Reflecting recent knowledge and developments in the field, this very practical, easy-to-use guide emphasizes learning how to do case study research—from the first step of deciding whether a case study is the way to go to the last step of verifying and confirming findings before disseminating them. The authors show students how to: determine an appropriate research design; conduct informative interviews; record observations; document analyses; delineate ways to confirm case study findings; describe methods for deriving meaning from data; and communicate their findings. Featuring many new examples, the Third Edition offers step-by-step guidance to help beginning researchers through the stages of planning and implementing a thesis, dissertation, or independent project. This succinct “how-to” guide is an excellent place for anyone to begin doing case study research.

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
Наличие на складе: Есть у поставщика Поставка под заказ.
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.