# Statistics For The Social Sciences

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Author |
: R. Mark Sirkin |

Publisher |
: SAGE |

Total Pages |
: 636 |

Release |
: 2006 |

ISBN-10 |
: 141290546X |

ISBN-13 |
: 9781412905466 |

Rating |
: 4/5 (6X Downloads) |

**Synopsis Statistics for the Social Sciences by : R. Mark Sirkin**

Do your students lack confidence in their ability to handle quantitative work? Do they get confused about how to enter statistical data on SAS, SPSS, and Excel programs? The new Third Edition of the bestselling Statistics for the Social Sciences is the solution to these dilemmas Popular in previous editions, this Third Edition continues to help build students' confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more. Author R. Mark Sirkin once again demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fearing them. Statistics for the Social Sciences emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained. The book includes lists of key concepts, chapter exercises, topic boxes, and more

Author |
: Russell T. Warne |

Publisher |
: Cambridge University Press |

Total Pages |
: 612 |

Release |
: 2020-12-17 |

ISBN-10 |
: 9781108898539 |

ISBN-13 |
: 110889853X |

Rating |
: 4/5 (39 Downloads) |

**Synopsis Statistics for the Social Sciences by : Russell T. Warne**

The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.

Author |
: David Kaplan |

Publisher |
: Guilford Publications |

Total Pages |
: 337 |

Release |
: 2014-07-23 |

ISBN-10 |
: 9781462516513 |

ISBN-13 |
: 1462516513 |

Rating |
: 4/5 (13 Downloads) |

**Synopsis Bayesian Statistics for the Social Sciences by : David Kaplan**

Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they need to apply Bayesian methodologies to their data analysis problems. Part I addresses the elements of Bayesian inference, including exchangeability, likelihood, prior/posterior distributions, and the Bayesian central limit theorem. Part II covers Bayesian hypothesis testing, model building, and linear regression analysis, carefully explaining the differences between the Bayesian and frequentist approaches. Part III extends Bayesian statistics to multilevel modeling and modeling for continuous and categorical latent variables. Kaplan closes with a discussion of philosophical issues and argues for an "evidence-based" framework for the practice of Bayesian statistics. User-Friendly Features *Includes worked-through, substantive examples, using large-scale educational and social science databases, such as PISA (Program for International Student Assessment) and the LSAY (Longitudinal Study of American Youth). *Utilizes open-source R software programs available on CRAN (such as MCMCpack and rjags); readers do not have to master the R language and can easily adapt the example programs to fit individual needs. *Shows readers how to carefully warrant priors on the basis of empirical data. *Companion website features data and code for the book's examples, plus other resources.

Author |
: Kosuke Imai |

Publisher |
: Princeton University Press |

Total Pages |
: 464 |

Release |
: 2021-03-16 |

ISBN-10 |
: 9780691191096 |

ISBN-13 |
: 0691191093 |

Rating |
: 4/5 (96 Downloads) |

**Synopsis Quantitative Social Science by : Kosuke Imai**

"Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--

Author |
: R. Mark Sirkin |

Publisher |
: SAGE Publications, Incorporated |

Total Pages |
: 0 |

Release |
: 1999-05-14 |

ISBN-10 |
: 0761914188 |

ISBN-13 |
: 9780761914181 |

Rating |
: 4/5 (88 Downloads) |

**Synopsis Statistics for the Social Sciences by : R. Mark Sirkin**

Do your students lack confidence in handling quantitative work? Do they get confused about how to enter statistical data on SAS and SPSS programs? This Second Edition of Mark Sirkin's popular textbook is the solution for these dilemmas. The book progresses from concepts that require little computational work to the more demanding. It emphasizes utilization so that students appreciate the usefulness of statistics and shows how the interpretation of data is related to the methods by which data was obtained. The author includes coverage of the scientific method, levels of measurement and the interpretation of tables.

Author |
: Annabel Ness Evans |

Publisher |
: SAGE Publications |

Total Pages |
: 605 |

Release |
: 2013-06-06 |

ISBN-10 |
: 9781483323619 |

ISBN-13 |
: 1483323617 |

Rating |
: 4/5 (19 Downloads) |

**Synopsis Using Basic Statistics in the Behavioral and Social Sciences by : Annabel Ness Evans**

In this fully updated edition of Using Basic Statistics in the Behavioral and Social Sciences, Annabel Ness Evans presents introductory statistics in a practical, conceptual, and humorous way, reducing the anxiety that many students experience in introductory courses. Avoiding complex notation and derivations, the book focuses on helping readers develop an understanding of the underlying logic of statistics, rather than rote memorization. Focus on Research boxes engage students with realistic applications of statistics, and end-of-chapter exercises ensure student comprehension. This exciting new edition includes a greater number of realistic and engaging global examples within the social and behavioral sciences, making it ideal for use within many departments or in interdisciplinary settings.

Author |
: Elena Llaudet |

Publisher |
: Princeton University Press |

Total Pages |
: 256 |

Release |
: 2022-11-29 |

ISBN-10 |
: 9780691199436 |

ISBN-13 |
: 0691199434 |

Rating |
: 4/5 (36 Downloads) |

**Synopsis Data Analysis for Social Science by : Elena Llaudet**

"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--

Author |
: Robert A. Hanneman |

Publisher |
: John Wiley & Sons |

Total Pages |
: 560 |

Release |
: 2012-12-04 |

ISBN-10 |
: 9780470587980 |

ISBN-13 |
: 0470587989 |

Rating |
: 4/5 (80 Downloads) |

**Synopsis Basic Statistics for Social Research by : Robert A. Hanneman**

A core statistics text that emphasizes logical inquiry, not math Basic Statistics for Social Research teaches core general statistical concepts and methods that all social science majors must master to understand (and do) social research. Its use of mathematics and theory are deliberately limited, as the authors focus on the use of concepts and tools of statistics in the analysis of social science data, rather than on the mathematical and computational aspects. Research questions and applications are taken from a wide variety of subfields in sociology, and each chapter is organized around one or more general ideas that are explained at its beginning and then applied in increasing detail in the body of the text. Each chapter contains instructive features to aid students in understanding and mastering the various statistical approaches presented in the book, including: Learning objectives Check quizzes after many sections and an answer key at the end of the chapter Summary Key terms End-of-chapter exercises SPSS exercises (in select chapters) Ancillary materials for both the student and the instructor are available and include a test bank for instructors and downloadable video tutorials for students.

Author |
: T. Rajaretnam |

Publisher |
: SAGE Publishing India |

Total Pages |
: 309 |

Release |
: 2015-12-08 |

ISBN-10 |
: 9789351506560 |

ISBN-13 |
: 9351506568 |

Rating |
: 4/5 (60 Downloads) |

**Synopsis Statistics for Social Sciences by : T. Rajaretnam**

A comprehensive guide to the practical applications of statistics in social sciences This book brings out the relevance of statistical tools and methods in social sciences. Describing the various statistical techniques, it highlights their purpose and application along with a brief overview on how to interpret results and draw inferences. Topical and up-to-date, it examines: • different types of statistical variables and their treatment • tabulation and graphical presentation of data • theoretical distributions and common parametric and non-parametric tests, including analysis of variance and correlation ratio • linear regression including checking for violation of assumptions, transformations of variables and predictions • inequality measures such as Lorenz curve, Gini coefficient, dissimilarity index and human development index among others. It will be indispensable for students and scholars of statistics, econometrics, psychology and those interested in the application of statistics in social sciences.

Author |
: Russell T. Warne |

Publisher |
: Cambridge University Press |

Total Pages |
: 600 |

Release |
: 2017-12-14 |

ISBN-10 |
: 9781108548847 |

ISBN-13 |
: 1108548849 |

Rating |
: 4/5 (47 Downloads) |

**Synopsis Statistics for the Social Sciences by : Russell T. Warne**

Written by a quantitative psychologist, this textbook explains complex statistics in accessible language to undergraduates in all branches of the social sciences. Built around the central framework of the General Linear Model (GLM), Statistics for the Social Sciences teaches students how different statistical methods are interrelated to one another. With the GLM as a basis, students with varying levels of background are better equipped to interpret statistics and learn more advanced methods in their later courses. Russell Warne makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this book will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice and reflection questions.