Statistical Methods for the Social Sciences  Pearson New International Edition Book

Statistical Methods for the Social Sciences Pearson New International Edition


  • Author : Alan Agresti
  • Publisher : Pearson Higher Ed
  • Release Date : 2013-08-27
  • Genre: Social Science
  • Pages : 576
  • ISBN 10 : 9781292034898

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Statistical Methods for the Social Sciences Pearson New International Edition Book Description :

The book presents an introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra). The book contains sufficient material for a two-semester sequence of courses. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course. Datasets and other resources (where applicable) for this book are available here.

Statistical Methods for the Social Sciences  Global Edition Book

Statistical Methods for the Social Sciences Global Edition


  • Author : Alan Agresti
  • Publisher :
  • Release Date : 2018-04-24
  • Genre:
  • Pages : 568
  • ISBN 10 : 1292220317

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Statistical Methods for the Social Sciences Global Edition Book Description :

For courses in Statistical Methods for the Social Sciences. Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a two-semester course. The 5th Edition uses examples and exercises with a variety of "real data." It includes more illustrations of statistical software for computations and takes advantage of the outstanding applets to explain key concepts, such as sampling distributions and conducting basic data analyses. It continues to downplay mathematics--often a stumbling block for students--while avoiding reliance on an overly simplistic recipe-based approach to statistics.

Using Statistical Methods in Social Science Research Book

Using Statistical Methods in Social Science Research


  • Author : Soleman H. Abu-Bader
  • Publisher : Oxford University Press
  • Release Date : 2011-06-01
  • Genre: Social Science
  • Pages : 394
  • ISBN 10 : 9780190615222

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Using Statistical Methods in Social Science Research Book Description :

In Using Statistical Methods, Soleman Abu-Bader detects and addresses the gaps between the research and data analysis of the classroom environment and the practitioner's office. This book not only guides social scientists through different tests, but also provides students and researchers alike with information that will help them in their own practice. With focus on the purpose, rationale, and assumptions made by each statistical test, and a plethora of research examples that clearly display their applicability and function in real-world practice, Professor Abu-Bader creates a step-by-step description of the process needed to clearly organize, choose a test or statistical technique, analyze, interpret, and report research findings.

Statistical Methods for the Social Sciences Book

Statistical Methods for the Social Sciences


  • Author : Alan Agresti
  • Publisher :
  • Release Date : 2013-07-30
  • Genre: Business & Economics
  • Pages : 576
  • ISBN 10 : 1292021667

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Statistical Methods for the Social Sciences Book Description :

The fourth edition has an even stronger emphasis on concepts and applications, with greater attention to "real data" both in the examples and exercises. The mathematics is still downplayed, in particular probability, which is all too often a stumbling block for students. On the other hand, the text is not a cookbook. Reliance on an overly simplistic recipe-based approach to statistics is not the route to good statistical practice. Changes in the Fourth Edition: Since the first edition, the increase in computer power coupled with the continued improvement and accessibility of statistical software has had a major impact on the way social scientists analyze data. Because of this, this book does not cover the traditional shortcut hand-computational formulas and approximations. The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis. Teh text contains numerous sample printouts, mainly in the style of SPSS and occasionaly SAS, both in chapter text and homework problems. This edition also has an appendix explaining how to apply SPSS and SAS to conduct the methods of each chapter and a website giving links to information about other software.

Statistical Methods for the Social Sciences Book

Statistical Methods for the Social Sciences


  • Author : Alan Agresti
  • Publisher : Prentice Hall
  • Release Date : 2009
  • Genre: Social sciences
  • Pages : 609
  • ISBN 10 : 013713150X

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Statistical Methods for the Social Sciences Book Description :

When I undertook the first edition of this book my goal was to introduce statistical methods in a style that emphasized their concepts and their application to the social sciences rather than the mathematics and computational details behind them. This fourth edition has an even stronger emphasis on concepts and applications, with greater attention to "real data" both in the examples and exercises.

Statistical Methods for the Social Sciences  Books a la Carte Edition Book

Statistical Methods for the Social Sciences Books a la Carte Edition


  • Author : Alan Agresti
  • Publisher : Addison-Wesley Longman
  • Release Date : 2009-08-01
  • Genre: Business & Economics
  • Pages : 609
  • ISBN 10 : 0321656474

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Statistical Methods for the Social Sciences Books a la Carte Edition Book Description :

Assuming no prior knowledge of statistics, these authors combine their varied backgrounds-one a statistician, the other a social scientist-to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. The Fourth Edition has been both updated and improved to integrate real-world data into examples and exercises, and make coverage more accessible throughout.

Statistical Methods for the Social Sciences Book

Statistical Methods for the Social Sciences


  • Author : Alan Agresti
  • Publisher : Simon & Schuster Books For Young Readers
  • Release Date : 1986
  • Genre: Social sciences
  • Pages : 556
  • ISBN 10 : STANFORD:36105038182270

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Statistical Methods for the Social Sciences Book Description :

Statistical Methods for the Social and Behavioural Sciences Book

Statistical Methods for the Social and Behavioural Sciences


  • Author : David B. Flora
  • Publisher : SAGE
  • Release Date : 2017-12-11
  • Genre: Reference
  • Pages : 472
  • ISBN 10 : 9781526421920

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Statistical Methods for the Social and Behavioural Sciences Book Description :

Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods for modelling data. In this logical, easy-to-follow and exceptionally clear book, David Flora provides a comprehensive survey of the major statistical procedures currently used. His innovative model-based approach teaches you how to: Understand and choose the right statistical model to fit your data Match substantive theory and statistical models Apply statistical procedures hands-on, with example data analyses Develop and use graphs to understand data and fit models to data Work with statistical modeling principles using any software package Learn by applying, with input and output files for R, SAS, SPSS, and Mplus. Statistical Methods for the Social and Behavioural Sciences: A Model Based Approach is the essential guide for those looking to extend their understanding of the principles of statistics, and begin using the right statistical modeling method for their own data. It is particularly suited to second or advanced courses in statistical methods across the social and behavioural sciences.

Statistical Methods for Social Scientists Book

Statistical Methods for Social Scientists


  • Author : Eric A Hanushek
  • Publisher : Academic Press
  • Release Date : 2013-10-22
  • Genre: Mathematics
  • Pages : 374
  • ISBN 10 : 9780080918570

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Statistical Methods for Social Scientists Book Description :

The aspects of this text which we believe are novel, at least in degree, include: an effort to motivate different sections with practical examples and an empirical orientation; an effort to intersperse several easily motivated examples throughout the book and to maintain some continuity in these examples; and the extensive use of Monte Carlo simulations to demonstrate particular aspects of the problems and estimators being considered. In terms of material being presented, the unique aspects include the first chapter which attempts to address the use of empirical methods in the social sciences, the seventh chapter which considers models with discrete dependent variables and unobserved variables. Clearly these last two topics in particular are quite advanced--more advanced than material that is currently available on the subject. These last two topics are also currently experiencing rapid development and are not adequately described in most other texts.

Applied Statistical Methods Book

Applied Statistical Methods


  • Author : William Lee Carlson
  • Publisher :
  • Release Date : 1997
  • Genre: Mathematics
  • Pages : 1021
  • ISBN 10 : 0135708478

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Applied Statistical Methods Book Description :

[NOTE: Is this the current title?] This book describes and explains the entire process of designing and building a distributed object application with the VisualAge Smalltalk Distributed feature.This book contains an overview of the features and architecture of SmallTalk's Distributed feature; sample application components with supporting documentation to illustrate design and coding; and recommendations for building distributed object applications with VisualAge. Learn how to set up the development environment, and special considerations for testing, run-time configurations, optimization and performance tuning.For software development managers, designers and others planning to develop client/server and peer-to-peer applications with distributed objects using VisualAge.

Statistical Methods in Social Science Research Book

Statistical Methods in Social Science Research


  • Author : S P Mukherjee
  • Publisher : Springer
  • Release Date : 2018-10-05
  • Genre: Social Science
  • Pages : 152
  • ISBN 10 : 9789811321467

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Statistical Methods in Social Science Research Book Description :

This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research. The social sciences cover diverse phenomena arising in society, the economy and the environment, some of which are too complex to allow concrete statements; some cannot be defined by direct observations or measurements; some are culture- (or region-) specific, while others are generic and common. Statistics, being a scientific method – as distinct from a ‘science’ related to any one type of phenomena – is used to make inductive inferences regarding various phenomena. The book addresses both qualitative and quantitative research (a combination of which is essential in social science research) and offers valuable supplementary reading at an advanced level for researchers.

Statistics for the Social Sciences Book

Statistics for the Social Sciences


  • Author : R. Mark Sirkin
  • Publisher : SAGE
  • Release Date : 2006
  • Genre: Social Science
  • Pages : 610
  • ISBN 10 : 141290546X

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Statistics for the Social Sciences Book Description :

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 fear 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.

Statistics for the Social Sciences Book
Score: 5
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Statistics for the Social Sciences


  • Author : Russell T. Warne
  • Publisher : Cambridge University Press
  • Release Date : 2017-12-14
  • Genre: Mathematics
  • Pages : 601
  • ISBN 10 : 9781107576971

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Statistics for the Social Sciences Book Description :

This introductory undergraduate textbook is the first statistics textbook built around the General Linear Model.

Advanced and Multivariate Statistical Methods for Social Science Research Book

Advanced and Multivariate Statistical Methods for Social Science Research


  • Author : Soleman H. Abu-Bader
  • Publisher :
  • Release Date : 2010-06-01
  • Genre:
  • Pages : 350
  • ISBN 10 : 0190616393

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Advanced and Multivariate Statistical Methods for Social Science Research Book Description :

Unlike other advanced statistical texts, this book combines the theory and practice behind a number of statistical techniques which students of the social sciences need to evaluate, analyze, and test their research hypotheses.Each chapter discusses the purpose, rationale, and assumptions for using each statistical test, rather than focusing on the memorization of formulas. The tests are further elucidated throughout the text by real examples of analysis. Of particular value to students is the book's detailed discussionof how to utilize SPSS to run each test, read its output, interpret, and write the results.Advanced and Multivariate Statistical Methods for Social Science Research is an indispensable resource for students of disciplines as varied as social work, nursing, public health, psychology, and education.Electronic database files are available for student and instructor use.http://lyceumbooks.com/StudentResources.htm

Statistical Modeling and Inference for Social Science Book

Statistical Modeling and Inference for Social Science


  • Author : Sean Gailmard
  • Publisher : Cambridge University Press
  • Release Date : 2014-06-09
  • Genre: Business & Economics
  • Pages : 388
  • ISBN 10 : 9781107003149

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Statistical Modeling and Inference for Social Science Book Description :

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students gain the ability to create, read and critique statistical applications in their fields of interest.

Making Sense of Statistical Methods in Social Research Book

Making Sense of Statistical Methods in Social Research


  • Author : Keming Yang
  • Publisher : SAGE
  • Release Date : 2010-03-25
  • Genre: Social Science
  • Pages : 216
  • ISBN 10 : 9781446205594

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Making Sense of Statistical Methods in Social Research Book Description :

Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It provides a unique approach to statistics that concentrates on helping social researchers think about the conceptual basis for the statistical methods they're using. Whereas other statistical methods books instruct students in how to get through the statistics-based elements of their chosen course with as little mathematical knowledge as possible, this book aims to improve students' statistical literacy, with the ultimate goal of turning them into competent researchers. Making Sense of Statistical Methods in Social Research contains careful discussion of the conceptual foundation of statistical methods, specifying what questions they can, or cannot, answer. The logic of each statistical method or procedure is explained, drawing on the historical development of the method, existing publications that apply the method, and methodological discussions. Statistical techniques and procedures are presented not for the purpose of showing how to produce statistics with certain software packages, but as a way of illuminating the underlying logic behind the symbols. The limited statistical knowledge that students gain from straight forward 'how-to' books makes it very hard for students to move beyond introductory statistics courses to postgraduate study and research. This book should help to bridge this gap.

Statistics for the Social Sciences Book

Statistics for the Social Sciences


  • Author : R. Mark Sirkin
  • Publisher : SAGE Publications, Incorporated
  • Release Date : 1999-05-06
  • Genre: Social Science
  • Pages : 592
  • ISBN 10 : 0761914188

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Statistics for the Social Sciences Book Description :

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.