Statistical Methods for the Social Sciences Pearson New International Edition

Statistical Methods for the Social Sciences  Pearson New International Edition

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.

Author: Alan Agresti

Publisher: Pearson Higher Ed

ISBN: 9781292034898

Category: Social Science

Page: 576

View: 237

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.
Categories: Social Science

Statistical Methods for the Social Sciences Global Edition

Statistical Methods for the Social Sciences  Global Edition

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.

Author: Alan Agresti

Publisher:

ISBN: 1292220317

Category:

Page: 568

View: 126

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.
Categories:

Using Statistical Methods in Social Science Research

Using Statistical Methods in Social Science Research

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.

Author: Soleman H. Abu-Bader

Publisher: Oxford University Press

ISBN: 9780190615222

Category: Social Science

Page: 394

View: 266

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.
Categories: Social Science

Statistical Methods for the Social and Behavioural Sciences

Statistical Methods for the Social and Behavioural Sciences

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 ...

Author: David B. Flora

Publisher: SAGE

ISBN: 9781526421920

Category: Reference

Page: 472

View: 546

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.
Categories: Reference

Applied Statistical Methods

Applied Statistical Methods

[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 ...

Author: William Lee Carlson

Publisher:

ISBN: 0135708478

Category: Mathematics

Page: 1021

View: 524

[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.
Categories: Mathematics

Statistical Analysis for the Social Sciences

Statistical Analysis for the Social Sciences

The book gives careful attention to the flow of ideas and concepts so there is a stream of logic which flows throughout, adding to the book's readability.

Author: Norman R. Kurtz

Publisher: Pearson College Division

ISBN: NWU:35556027822329

Category: Social Science

Page: 379

View: 489

People are bombarded with statistical data every day, but not many have had training in how to interpret or analyze this information. Kurtz's accessible writing style provides a basic yet sophisticated introduction to understanding and analyzing statistical applications. The book gives careful attention to the flow of ideas and concepts so there is a stream of logic which flows throughout, adding to the book's readability. The book begins with a discussion of methods for describing the distribution of a variable. The introduction of probability avoids the traditional discussion of the basic laws of probability, providing instead an explanation which can be directly applied in the everyday use of statistical probability. The discussion of the book is focused primarily on the relationship of probability to outcomes. Sociologists, psychologists, social workers, political scientists, educators, as well as anyone who wants to analyze data.
Categories: Social Science

Statistics for the Social Sciences

Statistics for the Social Sciences

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

Publisher: SAGE

ISBN: 141290546X

Category: Social Science

Page: 610

View: 776

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.
Categories: Social Science

Statistical Methods in Social Science Research

Statistical Methods in Social Science Research

This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research.

Author: S P Mukherjee

Publisher: Springer

ISBN: 9789811321467

Category: Social Science

Page: 152

View: 306

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.
Categories: Social Science

Research in Practice

Research in Practice

Placing a greater emphasis on interdisciplinary and applied research skills, this guide encourages the concurrent use of qualitative and quantitative methods and explores such complex topics as ethical issues in social science research; ...

Author: Martin Terre Blanche

Publisher: Juta and Company Ltd

ISBN: 1919713697

Category: Social Science

Page: 594

View: 128

A major shift in research methodology from technical to more contextual and pragmatic approaches, this thorough resource incorporates new trends while also providing comprehensive coverage of the full range of established research approaches and techniques, skillfully combining epistemology, methodology, statistics, and application in a volume that is both sophisticated and practical. Placing a greater emphasis on interdisciplinary and applied research skills, this guide encourages the concurrent use of qualitative and quantitative methods and explores such complex topics as ethical issues in social science research; inferential statistical methods; and Marxist, feminist, and black scholarship perspectives.
Categories: Social Science

Applied Multivariate Statistics for the Social Sciences

Applied Multivariate Statistics for the Social Sciences

This best-selling text is written for those who use, rather than develop statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving results.

Author: James Paul Stevens

Publisher: Taylor & Francis

ISBN: 9780805859010

Category: Social Science

Page: 651

View: 122

This best-selling text is written for those who use, rather than develop statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving results. Helpful narrative and numerous examples enhance understanding and a chapter on matrix algebra serves as a review. Annotated printouts from SPSS and SAS indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use these packages, the author stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size by providing guidelines so that the results can be generalized. The book is noted for its extensive applied coverage of MANOVA, its emphasis on statistical power, and numerous exercises including answers to half. The new edition features: New chapters on Hierarchical Linear Modeling (Ch. 15) and Structural Equation Modeling (Ch. 16) New exercises that feature recent journal articles to demonstrate the actual use of multiple regression (Ch. 3), MANOVA (Ch. 5), and repeated measures (Ch. 13) A new appendix on the analysis of correlated observations (Ch. 6) Expanded discussions on obtaining non-orthogonal contrasts in repeated measures designs with SPSS and how to make the identification of cell ID easier in log linear analysis in 4 or 5 way designs Updated versions of SPSS (15.0) and SAS (8.0) are used throughout the text and introduced in chapter 1 A book website with data sets and more. Ideal for courses on multivariate statistics found in psychology, education, sociology, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial ANOVA and covariance. Working knowledge of matrix algebra is not assumed.
Categories: Social Science

Statistical Modeling and Inference for Social Science

Statistical Modeling and Inference for Social Science

This textbook is an introduction to probability theory, statistical inference and statistical modeling for graduate students and practitioners beginning social science research.

Author: Sean Gailmard

Publisher: Cambridge University Press

ISBN: 9781107003149

Category: Business & Economics

Page: 388

View: 373

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.
Categories: Business & Economics

New Statistical Procedures for the Social Sciences

New Statistical Procedures for the Social Sciences

New Jersey 07642 Library of Congress Cataloging-ln—Publlcation Data Wilcox,
Rand R. New statistical procedures for the social sciences. Bibliorzraphv: p.
Includes index. 1. Social scicnces —— Statistical methods. 2. Statistics. 1. Title.
HA29 ...

Author: Rand R. Wilcox

Publisher: Psychology Press

ISBN: 9781135059774

Category: Psychology

Page: 442

View: 298

This unique volume addresses the inadequacies of basic statistical methods that standard textbooks tend to ignore. The author introduces new procedures with accompanying tables that illustrate the practicality of the methods. Concentrating on basic experimental designs that are central to research in the social sciences, Wilcox describes new nonparametric techniques, two-way ANOVA designs, and new results related to the analysis of covariance and repeated measure design. This book serves as the ideal reference and supplement to standard texts by making the statistical advances of the last thirty years accessible to graduate students and researchers.
Categories: Psychology

Quantitative Methods for the Social Sciences

Quantitative Methods for the Social Sciences

Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests.

Author: Daniel Stockemer

Publisher: Springer

ISBN: 9783319991184

Category: Social Science

Page: 181

View: 274

This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.
Categories: Social Science

Statistical Methods for Social Scientists

Statistical Methods for Social Scientists

The lack of an experimental basis for research precludes many techniques that
other scientists use to refine their results. As social scientists, we cannot dictate
the treatments our subjects receive, control the environment in which the
behavior ...

Author: Eric A Hanushek

Publisher: Academic Press

ISBN: 9780080918570

Category: Mathematics

Page: 374

View: 958

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.
Categories: Mathematics

Advanced and Multivariate Statistical Methods for Social Science Research

Advanced and Multivariate Statistical Methods for Social Science Research

The tests are further elucidated throughout the text by real examples of analysis. Of particular value to students is the book's detailed discussion of how to utilize SPSS to run each test, read its output, interpret, and write the results.

Author: Soleman H. Abu-Bader

Publisher:

ISBN: 0190616393

Category:

Page: 350

View: 928

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
Categories:

The Reviewer s Guide to Quantitative Methods in the Social Sciences

The Reviewer   s Guide to Quantitative Methods in the Social Sciences

The ubiquity of MR makes this model one of the most important and widely used
statistical methods in social science research. In general, the idea of the MR
model is to relate a set of regressor (independent or predictor) variables to a
criterion ...

Author: Gregory R. Hancock

Publisher: Routledge

ISBN: 9781135172992

Category: Education

Page: 448

View: 416

The Reviewer’s Guide is designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its uniquely structured chapters address traditional and emerging quantitative methods of data analysis.
Categories: Education

Text Analysis for the Social Sciences

Text Analysis for the Social Sciences

In fact, it is originally with this volume that these two "relational" approaches to text analysis are defined and contrasted with more traditional "thematic" text analysis methods. The emphasis here is on application.

Author: Carl W. Roberts

Publisher: Routledge

ISBN: 0805817352

Category: Language Arts & Disciplines

Page: 316

View: 999

This book provides descriptions and illustrations of cutting-edge text analysis methods for communication and market research, cultural, historical-comparative, and event analysis, curriculum evaluation, psychological diagnosis, language development research, and for any research in which statistical inferences are drawn from samples of texts. Although the book is accessible to readers having no experience with content analysis, the text analysis expert will find substantial new material in its pages. The methods presented here will be useful for international research, as well as for practitioners from the fields of sociology, political science, journalism/communication, computer science, marketing, education, and English.
Categories: Language Arts & Disciplines