Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download A Programmed Text In Introductory Statistics For The Social Sciences full books in PDF, epub, and Kindle. Read online A Programmed Text In Introductory Statistics For The Social Sciences ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Edward James McConnell
Publisher :
ISBN 13 :
Total Pages : 109 pages
Book Rating : 4.:/5 (128 download)
Download or read book A Programmed Text in Introductory Statistics for the Social Sciences written by Edward James McConnell and published by . This book was released on 1975 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kosuke Imai
Publisher : Princeton University Press
ISBN 13 : 0691191093
Total Pages : 464 pages
Book Rating : 4.6/5 (911 download)
Download or read book Quantitative Social Science written by Kosuke Imai and published by Princeton University Press. This book was released on 2021-03-16 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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 : Elena Llaudet
Publisher : Princeton University Press
ISBN 13 : 0691199434
Total Pages : 256 pages
Book Rating : 4.6/5 (911 download)
Download or read book Data Analysis for Social Science written by Elena Llaudet and published by Princeton University Press. This book was released on 2022-11-29 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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 : Joan Welkowitz
Publisher : John Wiley & Sons
ISBN 13 : 0470893672
Total Pages : 507 pages
Book Rating : 4.4/5 (78 download)
Download or read book Introductory Statistics for the Behavioral Sciences written by Joan Welkowitz and published by John Wiley & Sons. This book was released on 2010-06-08 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and user-friendly introduction to statistics-now revised and updated Introductory Statistics for the Behavioral Sciences has had a long and successful history and is a popular and well-respected statistics text. Now in its sixth edition, the text has been thoroughly revised to present all the topics students in the behavioral sciences need in a uniquely accessible format that aids in the comprehension and implementation of the statistical analyses most commonly used in the behavioral sciences. Using a continuous narrative that explains statistics and tracks a common data set throughout, the authors have developed an innovative approach that makes the material unintimidating and memorable, providing a framework that connects all of the topics in the text and allows for easy comparison of different statistical analyses. New features in this Sixth Edition include: * Different aspects of a common data set are used to illustrate the various statistical methods throughout the text, with an emphasis on drawing connections between seemingly disparate statistical procedures and formulas * Computer exercises based on the same large data set and relevant to that chapter's content. The data set can be analyzed by any available statistical software * New "Bridge to SPSS" sections at the end of each chapter explain, for those using this very popular statistical package, how to perform that chapter's statistical procedures by computer, and how to translate the output from SPSS * New chapters on multiple comparisons and repeated-measures ANOVA
Author : Openstax
Publisher :
ISBN 13 : 9788565775120
Total Pages : 914 pages
Book Rating : 4.7/5 (751 download)
Download or read book Introductory Statistics written by Openstax and published by . This book was released on 2022-03-23 with total page 914 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs. Senior Contributing Authors Barbara Illowsky, De Anza College Susan Dean, De Anza College Contributing Authors Daniel Birmajer, Nazareth College Bryan Blount, Kentucky Wesleyan College Sheri Boyd, Rollins College Matthew Einsohn, Prescott College James Helmreich, Marist College Lynette Kenyon, Collin County Community College Sheldon Lee, Viterbo University Jeff Taub, Maine Maritime Academy
Author : Ryan Kennedy
Publisher : CRC Press
ISBN 13 : 1000353850
Total Pages : 198 pages
Book Rating : 4.0/5 (3 download)
Download or read book Introduction to R for Social Scientists written by Ryan Kennedy and published by CRC Press. This book was released on 2021-02-23 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology. Whether used as a reference manual or read from cover to cover, readers will be equipped with a deeper understanding of R and the Tidyverse, as well as a framework for how best to leverage these powerful tools to write tidy, efficient code for solving problems. To this end, the authors provide many suggestions for additional readings and tools to build on the concepts covered. They use all covered techniques in their own work as scholars and practitioners.
Author : David Swanson
Publisher :
ISBN 13 : 9781609278533
Total Pages : pages
Book Rating : 4.2/5 (785 download)
Download or read book Introductory Statistics for the Social Sciences written by David Swanson and published by . This book was released on 2011-07-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ian Diamond
Publisher : SAGE
ISBN 13 : 1446223485
Total Pages : 316 pages
Book Rating : 4.4/5 (462 download)
Download or read book Beginning Statistics written by Ian Diamond and published by SAGE. This book was released on 2013-02-26 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: `The clarity, simplicity and use of many practical examples makes this book very useful, primarily for under- and postgraduate students′ - Journal of Biosocial Science 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 : Scott Colwell
Publisher :
ISBN 13 : 9781119308089
Total Pages : 401 pages
Book Rating : 4.3/5 (8 download)
Download or read book Introduction to Statistics for Social Sciences written by Scott Colwell and published by . This book was released on 2016 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Roberta Garner
Publisher : University of Toronto Press
ISBN 13 : 1442601884
Total Pages : 345 pages
Book Rating : 4.4/5 (426 download)
Download or read book The Joy of Stats written by Roberta Garner and published by University of Toronto Press. This book was released on 2010-01-01 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This is a great book for social science students. Clearly written, with many examples, Garner certainly makes learning and teaching introductory statistics a joy!" - Nikolaos Liodakis, Wilfrid Laurier University
Author : Miguel Padilla
Publisher : Cognella Academic Publishing
ISBN 13 : 9781634871549
Total Pages : pages
Book Rating : 4.8/5 (715 download)
Download or read book Introductory Statistics for Social Sciences written by Miguel Padilla and published by Cognella Academic Publishing. This book was released on 2017-01-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Roberta Garner
Publisher :
ISBN 13 : 9781487527280
Total Pages : 384 pages
Book Rating : 4.5/5 (272 download)
Download or read book The Joy of STATS: A Short Guide to Introductory Statistics in the Social Sciences, Third Edition written by Roberta Garner and published by . This book was released on 2022-06-15 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Joy of Stats opens the door to statistics and quantitative analysis in the social sciences with a brief and accessible guide for students and professionals.
Author : Roberta Garner
Publisher : University of Toronto Press
ISBN 13 : 1487527314
Total Pages : 462 pages
Book Rating : 4.4/5 (875 download)
Download or read book The Joy of Stats written by Roberta Garner and published by University of Toronto Press. This book was released on 2023-11-30 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Joy of Stats offers a reader-friendly introduction to applied statistics and quantitative analysis in the social sciences and public policy. Perfect as an undergraduate text or self-study manual, it emphasizes how to understand concepts, interpret algorithms and formulas, analyze data, and answer research questions. This brand new edition offers examples and visualizations using real-life data, a revised discussion of statistical inference, and introductory examples in R and SPSS. The third edition has been extensively reorganized with shorter chapters and closer links between concepts and formulas, while retaining useful pedagogical features including key terms, practice exercises, a math refresher, and playful inserts on "the mathematical imagination." The Joy of Stats also places a strong emphasis on learning how to write and speak clearly about data results. Supported by a companion website with data sets and additional resources, The Joy of Stats is a superb choice for introducing students to applied statistics and for refreshing and reviewing stats as a social scientist, public policy professional, or community activist.
Author : Christian Heumann
Publisher : Springer
ISBN 13 : 3319461621
Total Pages : 457 pages
Book Rating : 4.3/5 (194 download)
Download or read book Introduction to Statistics and Data Analysis written by Christian Heumann and published by Springer. This book was released on 2017-01-26 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.
Author : Paul Gingrich
Publisher :
ISBN 13 :
Total Pages : 421 pages
Book Rating : 4.:/5 (43 download)
Download or read book Introductory Statistics for the Social Sciences written by Paul Gingrich and published by . This book was released on 1992 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Elena Llaudet
Publisher : Princeton University Press
ISBN 13 : 0691229341
Total Pages : 257 pages
Book Rating : 4.6/5 (912 download)
Download or read book Data Analysis for Social Science written by Elena Llaudet and published by Princeton University Press. This book was released on 2022-09-13 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: An ideal textbook for an introductory course on quantitative methods for social scientists—assumes no prior knowledge of statistics or coding Data Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Using plain language and assuming no prior knowledge of statistics and coding, the book provides a step-by-step guide to analyzing real-world data with the statistical program R for the purpose of answering a wide range of substantive social science questions. It teaches not only how to perform the analyses but also how to interpret results and identify strengths and limitations. This one-of-a-kind textbook includes supplemental materials to accommodate students with minimal knowledge of math and clearly identifies sections with more advanced material so that readers can skip them if they so choose. Analyzes real-world data using the powerful, open-sourced statistical program R, which is free for everyone to use Teaches how to measure, predict, and explain quantities of interest based on data Shows how to infer population characteristics using survey research, predict outcomes using linear models, and estimate causal effects with and without randomized experiments Assumes no prior knowledge of statistics or coding Specifically designed to accommodate students with a variety of math backgrounds Provides cheatsheets of statistical concepts and R code Supporting materials available online, including real-world datasets and the code to analyze them, plus—for instructor use—sample syllabi, sample lecture slides, additional datasets, and additional exercises with solutions Looking for a more advanced introduction? Consider Quantitative Social Science by Kosuke Imai. In addition to covering the material in Data Analysis for Social Science, it teaches diffs-in-diffs models, heterogeneous effects, text analysis, and regression discontinuity designs, among other things.
Author : Rand Wilcox
Publisher : CRC Press
ISBN 13 : 1439834563
Total Pages : 862 pages
Book Rating : 4.4/5 (398 download)
Download or read book Modern Statistics for the Social and Behavioral Sciences written by Rand Wilcox and published by CRC Press. This book was released on 2011-08-05 with total page 862 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
