Science Of Statistics Statistics And Sociology

Author : Stanislav Kolenikov,Lori Thombs,Douglas Steinley
Publisher : John Wiley & Sons
Page : 222 pages
File Size : 54,7 Mb
Release : 2010-02-22
Category : Mathematics
ISBN : 9780470583326

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Statistics in the Social Sciences by Stanislav Kolenikov,Lori Thombs,Douglas Steinley Pdf

A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences Statistics in the Social Sciences: Current Methodological Developments presents new and exciting statistical methodologies to help advance research and data analysis across the many disciplines in the social sciences. Quantitative methods in various subfields, from psychology to economics, are under demand for constant development and refinement. This volume features invited overview papers, as well as original research presented at the Sixth Annual Winemiller Conference: Methodological Developments of Statistics in the Social Sciences, an international meeting that focused on fostering collaboration among mathematical statisticians and social science researchers. The book provides an accessible and insightful look at modern approaches to identifying and describing current, effective methodologies that ultimately add value to various fields of social science research. With contributions from leading international experts on the topic, the book features in-depth coverage of modern quantitative social sciences topics, including: Correlation Structures Structural Equation Models and Recent Extensions Order-Constrained Proximity Matrix Representations Multi-objective and Multi-dimensional Scaling Differences in Bayesian and Non-Bayesian Inference Bootstrap Test of Shape Invariance across Distributions Statistical Software for the Social Sciences Statistics in the Social Sciences: Current Methodological Developments is an excellent supplement for graduate courses on social science statistics in both statistics departments and quantitative social sciences programs. It is also a valuable reference for researchers and practitioners in the fields of psychology, sociology, economics, and market research.

Author : Eric J. Krieg
Publisher : SAGE Publications
Page : 367 pages
File Size : 52,8 Mb
Release : 2019-07-11
Category : Social Science
ISBN : 9781544352695

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Statistics and Data Analysis for Social Science by Eric J. Krieg Pdf

Apply statistics to your everyday life. Statistics and Data Analysis for Social Science helps students to build a strong foundational understanding of statistics by providing clarity around when and why statistics useful. Rather than focusing on the "how to" of statistics, author Eric J. Krieg simplifies the complexity of statistical calculations by introducing only what is necessary to understanding each concept. Every chapter is written around and applied to a different social problem or issues—enabling students to broaden their imagination about the statistical "tools" that can be used to make sense of our world and, maybe, to make the world a better place. In addition to updating all the tables and examples with new data, the Second Edition has replaced the section on SPSS with three new sets of exercises at the end of each chapter: Chapter Exercises for students complete during their reading and bring questions to class, In-Class Exercises that focus on the areas that students struggled with during their reading, and Homework Exercises that can be assigned if students need extra practice with the concepts.

Author : Richmond Mayo-Smith
Publisher : Unknown
Page : 399 pages
File Size : 53,9 Mb
Release : 1896
Category : Statistics
ISBN : OCLC:1005302459

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Science of Statistics by Richmond Mayo-Smith Pdf

Author : Richmond Mayo-Smith
Publisher : Unknown
Page : 428 pages
File Size : 48,7 Mb
Release : 1895
Category : Statistics
ISBN : MINN:31951002304466A

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Science of Statistics: Statistics and sociology.- pt. 2. Statistics and economics by Richmond Mayo-Smith Pdf

Author : Richmond Mayo-Smith
Publisher : Unknown
Page : 399 pages
File Size : 48,5 Mb
Release : 1895
Category : Electronic
ISBN : OCLC:253630732

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Science of Statistics by Richmond Mayo-Smith Pdf

Author : John Levi Martin
Publisher : University of Chicago Press
Page : 377 pages
File Size : 44,6 Mb
Release : 2018-08-21
Category : Social Science
ISBN : 9780226567778

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Thinking Through Statistics by John Levi Martin Pdf

Simply put, Thinking Through Statistics is a primer on how to maintain rigorous data standards in social science work, and one that makes a strong case for revising the way that we try to use statistics to support our theories. But don’t let that daunt you. With clever examples and witty takeaways, John Levi Martin proves himself to be a most affable tour guide through these scholarly waters. Martin argues that the task of social statistics isn't to estimate parameters, but to reject false theory. He illustrates common pitfalls that can keep researchers from doing just that using a combination of visualizations, re-analyses, and simulations. Thinking Through Statistics gives social science practitioners accessible insight into troves of wisdom that would normally have to be earned through arduous trial and error, and it does so with a lighthearted approach that ensures this field guide is anything but stodgy.

Author : Richmond Mayo-Smith
Publisher : Unknown
Page : 399 pages
File Size : 45,6 Mb
Release : 1902
Category : Statistics
ISBN : OCLC:56314884

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Statistics and Sociology by Richmond Mayo-Smith Pdf

Author : R. Mark Sirkin
Publisher : SAGE
Page : 636 pages
File Size : 51,9 Mb
Release : 2006
Category : Mathematics
ISBN : 141290546X

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Statistics for the Social Sciences by R. Mark Sirkin Pdf

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 : R. Mark Sirkin
Publisher : SAGE Publications, Incorporated
Page : 0 pages
File Size : 54,6 Mb
Release : 1999-05-14
Category : Social Science
ISBN : 0761914188

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Statistics for the Social Sciences by R. Mark Sirkin Pdf

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 : Richmond Mayo-Smith
Publisher : Unknown
Page : 428 pages
File Size : 51,5 Mb
Release : 1895
Category : Sociology
ISBN : UOM:39015022740511

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Science of Statistics: Statistics and sociology by Richmond Mayo-Smith Pdf

Author : Robert A. Hanneman,Augustine J. Kposowa,Mark D. Riddle
Publisher : John Wiley & Sons
Page : 560 pages
File Size : 55,8 Mb
Release : 2012-11-15
Category : Social Science
ISBN : 9781118234150

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Basic Statistics for Social Research by Robert A. Hanneman,Augustine J. Kposowa,Mark D. Riddle Pdf

A core statistics text that emphasizes logical inquiry, notmath Basic Statistics for Social Research teaches core generalstatistical concepts and methods that all social science majorsmust master to understand (and do) social research. Its use ofmathematics and theory are deliberately limited, as the authorsfocus on the use of concepts and tools of statistics in theanalysis of social science data, rather than on the mathematicaland computational aspects. Research questions and applications aretaken from a wide variety of subfields in sociology, and eachchapter is organized around one or more general ideas that areexplained at its beginning and then applied in increasing detail inthe body of the text. Each chapter contains instructive features to aid students inunderstanding and mastering the various statistical approachespresented in the book, including: Learning objectives Check quizzes after many sections and an answer key at the endof the chapter Summary Key terms End-of-chapter exercises SPSS exercises (in select chapters) Ancillary materials for both the student and the instructor areavailable and include a test bank for instructors and downloadablevideo tutorials for students.

Author : Michael Haan
Publisher : Unknown
Page : 416 pages
File Size : 44,9 Mb
Release : 2013-04-22
Category : Social sciences
ISBN : 0195441257

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An Introduction to Statistics for Canadian Social Scientists by Michael Haan Pdf

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 : Brian Joseph Gillespie,Kathleen Charli Hibbert,William E. Wagner, III
Publisher : SAGE Publications
Page : 268 pages
File Size : 48,7 Mb
Release : 2020-02-07
Category : Social Science
ISBN : 9781544344003

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A Guide to R for Social and Behavioral Science Statistics by Brian Joseph Gillespie,Kathleen Charli Hibbert,William E. Wagner, III Pdf

A Guide to R for Social and Behavioral Science Statistics is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudio®. The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written as a companion book to be used alongside a larger introductory statistics text, the text follows the most common progression of statistics for social scientists. The guide also serves as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. This guide can teach anyone how to use R to analyze data, and uses frequent reminders of basic statistical concepts to accompany instructions in R to help walk students through the basics of learning how to use R for statistics.

Author : Scott M. Lynch
Publisher : Springer Science & Business Media
Page : 229 pages
File Size : 44,7 Mb
Release : 2013-09-07
Category : Social Science
ISBN : 9781461485735

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Using Statistics in Social Research by Scott M. Lynch Pdf

This book covers applied statistics for the social sciences with upper-level undergraduate students in mind. The chapters are based on lecture notes from an introductory statistics course the author has taught for a number of years. The book integrates statistics into the research process, with early chapters covering basic philosophical issues underpinning the process of scientific research. These include the concepts of deductive reasoning and the falsifiability of hypotheses, the development of a research question and hypotheses, and the process of data collection and measurement. Probability theory is then covered extensively with a focus on its role in laying the foundation for statistical reasoning and inference. After illustrating the Central Limit Theorem, later chapters address the key, basic statistical methods used in social science research, including various z and t tests and confidence intervals, nonparametric chi square tests, one-way analysis of variance, correlation, simple regression, and multiple regression, with a discussion of the key issues involved in thinking about causal processes. Concepts and topics are illustrated using both real and simulated data. The penultimate chapter presents rules and suggestions for the successful presentation of statistics in tabular and graphic formats, and the final chapter offers suggestions for subsequent reading and study.

Author : Kosuke Imai,Lori D. Bougher
Publisher : Princeton University Press
Page : 472 pages
File Size : 52,5 Mb
Release : 2021-03-16
Category : Social Science
ISBN : 9780691191294

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Quantitative Social Science by Kosuke Imai,Lori D. Bougher Pdf

The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as business, economics, education, political science, psychology, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the Stata statistical software and interpret the results—it emphasizes hands-on learning, not paper-and-pencil statistics. More than fifty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in classrooms around the world, this one-of-a-kind textbook features numerous additional data analysis exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data science Provides hands-on instruction using Stata, not paper-and-pencil statistics Includes more than fifty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides