Statistics With R: Solving Problems Using Real-World Data, Jenine K. Harris
Автор: Daniels, Lisa Minot, Nicholas W. Название: Introduction to statistics and data analysis using stata (r) ISBN: 1506371833 ISBN-13(EAN): 9781506371832 Издательство: Sage Publications Рейтинг: Цена: 18058.00 р. Наличие на складе: Поставка под заказ.
Описание: Offering a step-by-step introduction to data analysis in Stata, this text uses examples from a variety of disciplines and extensive detail on the commands in stata.
Автор: Mehmet Mehmetoglu and Tor Georg Jakobsen Название: Applied Statistics Using Stata ISBN: 1473913233 ISBN-13(EAN): 9781473913233 Издательство: Sage Publications Рейтинг: Цена: 5859.00 р. Наличие на складе: Поставка под заказ.
Описание: Clear, intuitive and written with the social science student in mind, this book represents the ideal combination of statistical theory and practice. It focuses on questions that can be answered using statistics and addresses common themes and problems in a straightforward, easy-to-follow manner. The book carefully combines the conceptual aspects of statistics with detailed technical advice providing both the ‘why’ of statistics and the ‘how’. Built upon a variety of engaging examples from across the social sciences it provides a rich collection of statistical methods and models. Students are encouraged to see the impact of theory whilst simultaneously learning how to manipulate software to meet their needs. The book also provides: Original case studies and data sets Practical guidance on how to run and test models in Stata Downloadable Stata programmes created to work alongside chapters A wide range of detailed applications using Stata Step-by-step notes on writing the relevant code. This excellent text will give anyone doing statistical research in the social sciences the theoretical, technical and applied knowledge needed to succeed.
Автор: Field, Andy Название: Discovering statistics using ibm spss statistics ISBN: 1526419513 ISBN-13(EAN): 9781526419514 Издательство: Sage Publications Рейтинг: Цена: 29304.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Unrivalled in the way it makes the teaching of statistics through the use of IBM SPSS statistics compelling and accessible to even the most anxious of students. The only statistics textbook you and your students will ever need just got better!
Автор: Allen Webster Название: Applied Statistics: Examining Global Economic and Social Problems ISBN: 1516535642 ISBN-13(EAN): 9781516535644 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Applied Statistics: Examining Global Economic and Social Problems introduces students to the complex and relevant social, economic, and political problems that we face today through the use and application of foundational concepts in statistics. The text uses live data to show students the nature of and solutions to global issues such as income inequality, consumer and student debt, government deficits, corporate crime, and many other common dilemmas, illustrating the applied nature of statistics in a meaningful and concrete way. Over the course of 13 chapters, the book addresses topics including statistical analysis, graphs, computer applications, numerical measures, probability, and probability distribution. Students learn about sampling means and techniques, confidence intervals, hypothesis tests, the meaning of two populations, and simple regression and correlation analysis. Each chapter contains problems and exercises to help students better understand the role of statistics within the context of global challenges. Applied Statistics is well-suited for undergraduate and graduate business statistic courses, as well as social science courses with emphasis in statistical data.
Описание: Evaluation examines policies and programs across every arena of human endeavor, from efforts to stop the spread of HIV/AIDS to programs that drive national science policy. Relying on a vast array of methods, from qualitative interviewing to econometrics, it is a "transdiscipline," as opposed to a formal area of academic study. Accounting for these challenges, Evaluation Foundations Revisited offers an introduction for those seeking to better understand evaluation as a professional field. While the acquisition of methods and methodologies to meet the needs of certain projects is important, the foundation of evaluative practice rests on understanding complex issues to balance. Evaluation Foundations Revisited is an invitation to examine the intellectual, practical, and philosophical nexus that lies at the heart of evaluation. Thomas A. Schwandt shows how to critically engage with the assumptions that underlie how evaluators define and position their work, as well as how they argue for the usefulness of evaluation in society. He looks at issues such as the role of theory, how notions of value and valuing are understood, how evidence is used, how evaluation is related to politics, and what comprises scientific integrity. By coming to better understand the foundations of evaluation, readers will develop what Schwandt terms "a life of the mind of practice," which enables evaluators to draw on a more holistic view to develop reasoned arguments and well fitted techniques.
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.
Описание: Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources.
Pedagogical Features *Playful, conversational style and gradual approach; suitable for students without strong math backgrounds. *End-of-chapter exercises based on real data supplied in the free R package. *Technical explanation and equation/output boxes. *Appendices on how to install R and work with the sample datasets.
Автор: Ma, Xin Название: Using classification and regression trees ISBN: 164113237X ISBN-13(EAN): 9781641132374 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7623.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Classification and regression trees (CART) is one of the several contemporary statistical techniques with good promise for research in many academic fields. There are very few books on CART, especially on applied CART.This book, as a good practical primer with a focus on applications, introduces the relatively new statistical technique of CART as a powerful analytical tool. The easy-to-understand (non-technical) language and illustrative graphs (tables) as well as the use of the popular statistical software program (SPSS) appeal to readers without strong statistical background. This book helps readers understand the foundation, the operation, and the interpretation of CART analysis, thus becoming knowledgeable consumers and skillful users of CART.The chapter on advanced CART procedures not yet well-discussed in the literature allows readers to effectively seek further empowerment of their research designs by extending the analytical power of CART to a whole new level. This highly practical book is specifically written for academic researchers, data analysts, and graduate students in many disciplines such as economics, social sciences, medical sciences, and sport sciences who do not have strong statistical background but still strive to take full advantage of CART as a powerful analytical tool for research in their fields.
Автор: Ma, Xin Название: Using classification and regression trees ISBN: 1641132388 ISBN-13(EAN): 9781641132381 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 14137.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Classification and regression trees (CART) is one of the several contemporary statistical techniques with good promise for research in many academic fields. There are very few books on CART, especially on applied CART.This book, as a good practical primer with a focus on applications, introduces the relatively new statistical technique of CART as a powerful analytical tool. The easy-to-understand (non-technical) language and illustrative graphs (tables) as well as the use of the popular statistical software program (SPSS) appeal to readers without strong statistical background. This book helps readers understand the foundation, the operation, and the interpretation of CART analysis, thus becoming knowledgeable consumers and skillful users of CART.The chapter on advanced CART procedures not yet well-discussed in the literature allows readers to effectively seek further empowerment of their research designs by extending the analytical power of CART to a whole new level. This highly practical book is specifically written for academic researchers, data analysts, and graduate students in many disciplines such as economics, social sciences, medical sciences, and sport sciences who do not have strong statistical background but still strive to take full advantage of CART as a powerful analytical tool for research in their fields.
Автор: Pages Название: Multiple Factor Analysis by Example Using R ISBN: 1482205475 ISBN-13(EAN): 9781482205473 Издательство: Taylor&Francis Рейтинг: Цена: 13014.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR). The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The next chapter discusses factor analysis for mixed data (FAMD), a little-known method for simultaneously analyzing quantitative and qualitative variables without group distinction. Focusing on MFA, subsequent chapters examine the key points of MFA in the context of quantitative variables as well as qualitative and mixed data. The author also compares MFA and Procrustes analysis and presents a natural extension of MFA: hierarchical MFA (HMFA). The final chapter explores several elements of matrix calculation and metric spaces used in the book.
For most of political science's history, discussions about professional ethics had nothing to do with human subjects. Professional ethics involved integrity in the classroom, fair tenure and promotion rule, and the careful avoidance of plagiarism. As most research was observational, there was little need for attention to how scholarly activities might directly affect the subjects of our work. Times have changed. The dramatic growth in the use of experiments in social science, especially overseas, is generating unexpected ethical controversies. The purpose of this volume is to identify, debate, and propose practical solutions to the most critical of these new ethical issues.
A leading team of internationally distinguished political science scholars presents the first examination of the practical and ethical challenges of research with human subjects in social science and policy studies.
Part 1 examines contextual challenges provided by experiments conducted overseas - questions of culture, religion, security, and poverty.
Part 2 examines questions of legal constraints on research, focusing on questions of foreign review of international experiments.
Part 3 tackles the critical issues in field experiments, including deception and consent, impact on elections and careers, the boundaries of the public officials' exemption, and the use of partner organizations to avoid Institutional Review Body (IRB) review.
Part 4 considers strategies for the future, including training and education, IRB reform, institutional changes, and norm development.
Автор: Hopson Rodney, Cram Fiona Название: Tackling Wicked Problems in Complex Ecologies: The Role of Evaluation ISBN: 1503600718 ISBN-13(EAN): 9781503600713 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 8778.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Tackling Wicked Problems in Complex Ecologies is a call to action, focusing on the role that evaluators can play in addressing social and economic problems. Evaluation extends beyond theories and methods, encompassing a range of proven approaches for addressing ecological complexities that drive inequities around the globe.
Bringing together leading thinkers and problem-solvers, this collection traverses the range of contexts at the frontiers of the field—from inadequate food supply and housing to unemployment and poverty. Editors Rodney Hopson and Fiona Cram demonstrate the effects of an engaged approach to evaluation, in which three considerations take center stage: its relevance, the relationships it engenders, and the responsibilities it requires. This is a handbook for tackling the social and economic problems of the twenty-first century which, though wicked, are amenable to the tools of the trade.
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