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Author : T. G. Connolly,W. Sluckin
Publisher : MacMillan Publishing Company
Page : 213 pages
File Size : 50,7 Mb
Release : 1971-01-01
Category : Sciences sociales - Méthodes statistiques
ISBN : 0333126572
Author : Gareth Norris,Faiza Qureshi,Dennis Howitt,Duncan Cramer
Publisher : Routledge
Page : 491 pages
File Size : 48,5 Mb
Release : 2014-09-19
Category : Education
ISBN : 9781317861836
This is a complete guide to statistics and SPSS for social science students. Statistics with SPSS for Social Science provides a step-by-step explanation of all the important statistical concepts, tests and procedures. It is also a guide to getting started with SPSS, and includes screenshots to illustrate explanations. With examples specific to social sciences, this text is essential for any student in this area.
Author : Scott Colwell,Edward Carter
Publisher : Unknown
Page : 401 pages
File Size : 47,5 Mb
Release : 2016
Category : Social sciences
ISBN : 1119308089
Author : Michael Haan
Publisher : Unknown
Page : 416 pages
File Size : 50,9 Mb
Release : 2013-04-22
Category : Social sciences
ISBN : 0195441257
Helping first-time students establish a solid foundation in quantitative research methods, this ground-up Canadian text uses a conversational tone, a wealth of practice problems and exercises, and clear examples to teach the universal language of statistics.
Author : Kosuke Imai,Lori D. Bougher
Publisher : Princeton University Press
Page : 464 pages
File Size : 50,7 Mb
Release : 2021-03-16
Category : Political Science
ISBN : 9780691191096
"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 : T. G. Connolly,W. Sluckin
Publisher : Unknown
Page : 154 pages
File Size : 42,7 Mb
Release : 1953
Category : Social sciences
ISBN : LCCN:34000810
Author : T. G. Connolly,Wladyslaw Sluckin
Publisher : Unknown
Page : 0 pages
File Size : 53,9 Mb
Release : 1971
Category : Social sciences
ISBN : OCLC:1025549675
Author : Russell T. Warne
Publisher : Cambridge University Press
Page : 612 pages
File Size : 42,5 Mb
Release : 2020-12-17
Category : Psychology
ISBN : 9781108898539
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 : Elena Llaudet,Kosuke Imai
Publisher : Princeton University Press
Page : 256 pages
File Size : 55,7 Mb
Release : 2022-11-29
Category : Computers
ISBN : 9780691199436
"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 : Howard T. Tokunaga
Publisher : SAGE Publications
Page : 740 pages
File Size : 43,6 Mb
Release : 2018-09-12
Category : Social Science
ISBN : 9781506377469
Fundamental Statistics for the Social and Behavioral Sciences, Second Edition, places statistics within the research process, illustrating how they are used to answer questions and test ideas. Students learn not only how to calculate statistics, but also how to interpret and communicate the results of statistical analyses in light of a study’s research hypothesis. Featuring accessible writing and well-integrated research examples, the book gives students a greater understanding of how research studies are conceived, conducted, and communicated. The Second Edition includes a new chapter on regression; covers how collected data can be organized, presented and summarized; the process of conducting statistical analyses to test research questions, hypotheses, and issues/controversies; and examines statistical procedures used in research situations that vary in the number of independent variables in the study. Every chapter includes learning checks, such as review questions and summary boxes, to reinforce the content students just learned, and exercises at the end of every chapter help assess their knowledge. Also new to the Second Edition -- animated video tutorials!
Author : Rand Wilcox
Publisher : CRC Press
Page : 862 pages
File Size : 47,9 Mb
Release : 2011-08-05
Category : Mathematics
ISBN : 9781439834565
In addition to learning how to apply classic statistical methods, students need to understand when these methods perform well, and when and why they can be highly unsatisfactory. Modern Statistics for the Social and Behavioral Sciences illustrates how to use R to apply both standard and modern methods to correct known problems with classic techniques. Numerous illustrations provide a conceptual basis for understanding why practical problems with classic methods were missed for so many years, and why modern techniques have practical value. Designed for a two-semester, introductory course for graduate students in the social sciences, this text introduces three major advances in the field: Early studies seemed to suggest that normality can be assumed with relatively small sample sizes due to the central limit theorem. However, crucial issues were missed. Vastly improved methods are now available for dealing with non-normality. The impact of outliers and heavy-tailed distributions on power and our ability to obtain an accurate assessment of how groups differ and variables are related is a practical concern when using standard techniques, regardless of how large the sample size might be. Methods for dealing with this insight are described. The deleterious effects of heteroscedasticity on conventional ANOVA and regression methods are much more serious than once thought. Effective techniques for dealing heteroscedasticity are described and illustrated. Requiring no prior training in statistics, Modern Statistics for the Social and Behavioral Sciences provides a graduate-level introduction to basic, routinely used statistical techniques relevant to the social and behavioral sciences. It describes and illustrates methods developed during the last half century that deal with known problems associated with classic techniques. Espousing the view that no single method is always best, it imparts a general understanding of the relative merits of various techniques so that the choice of method can be made in an informed manner.
Author : Michael Haan
Publisher : Unknown
Page : 0 pages
File Size : 46,8 Mb
Release : 2008
Category : Social sciences
ISBN : 0195426088
An Introduction to Statistics for Canadian Social Scientists is a ground-up Canadian text that establishes a solid foundation in statistics for first-time students of the discipline. Ideal for second- or third-year introductory level statistics courses in sociology, the text uses Canadianscholarship and examples to teach the universal language of statistics. A "Knowledge-Through-Discovery" approach encourages students to learn by doing. Lab exercises are designed to bridge the gap between theory and practice. The text includes appendices with SPSS and STATA lab manuals which willhelp students understand the main statistics software packages used in the social sciences. An overview of basic mathematics is also included for students who may be uncomfortable or out-of-practice with math. This book is a phenomenal resource for students wanting to expand their social scienceresearch skills to include statistical analysis.
Author : Brian J. Fogarty
Publisher : SAGE
Page : 462 pages
File Size : 49,6 Mb
Release : 2018-11-24
Category : Social Science
ISBN : 9781526459725
"One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is the focus on ′real world′ examples which help students to understand why they are learning these methods." - Dr Roxanne Connelly, University of York Relevant, engaging, and packed with student-focused learning features, this book provides the step-by-step introduction to quantitative research and data every student needs. Gradually introducing applied statistics and R, it uses examples from across the social sciences to show you how to apply abstract statistical and methodological principles to your own work. At a student-friendly pace, it enables you to: - Understand and use quantitative data to answer questions - Approach surrounding ethical issues - Collect quantitative data - Manage, write about, and share the data effectively Supported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives you not only the tools you need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what you have learned.
Author : Ian Diamond,Julie Jefferies
Publisher : SAGE Publications Limited
Page : 272 pages
File Size : 50,6 Mb
Release : 2001-03-29
Category : Social Science
ISBN : 0761960627
With an emphasis on description, examples, graphs and displays rather than statistical formulae, this book is the ideal introductory guide for students across the social sciences. It shows how all students can understand the basic ideas of statistics at a level appropriate with being a good social scientist. The authors explain the right ways to present data, how to describe a set of data using summary statistics and how to infer what is going on in a population when all you have to go on is the sample. The book uses small data sets to help students understand the basic principles, and no mathematics or statistical background is assumed.
Author : Jose Manuel Magallanes Reyes
Publisher : Cambridge University Press
Page : 317 pages
File Size : 41,6 Mb
Release : 2017-09-21
Category : Mathematics
ISBN : 9781107117419
This comprehensive guide provides a step-by-step approach to data collection, cleaning, formatting, and storage, using Python and R.
