# Statistical Methods For The Social Sciences

Download **Statistical Methods For The Social Sciences** or read online books in PDF, EPUB, Tuebl, and kindle. Click Get Book button to get *Statistical Methods For The Social Sciences* book now. We cannot guarantee every books is in the library. Use search box to get ebook that you want.

## Statistical Methods for the Social Sciences

Author | : Alan Agresti,Barbara Finlay |

Publsiher | : Unknown |

Total Pages | : 576 |

Release | : 2013-07-30 |

ISBN | : 9781292021669 |

Category | : Business & Economics |

Language | : EN, FR, DE, ES & NL |

**Statistical Methods for the Social Sciences Book Excerpt:**

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 in Social Science Research

Author | : S P Mukherjee,Bikas K Sinha,Asis Kumar Chattopadhyay |

Publsiher | : Springer |

Total Pages | : 152 |

Release | : 2018-10-05 |

ISBN | : 9811321469 |

Category | : Social Science |

Language | : EN, FR, DE, ES & NL |

**Statistical Methods in Social Science Research Book Excerpt:**

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.

## Theory Based Data Analysis for the Social Sciences

Author | : Carol S. Aneshensel |

Publsiher | : SAGE Publications |

Total Pages | : 472 |

Release | : 2012-12-11 |

ISBN | : 1506320015 |

Category | : Social Science |

Language | : EN, FR, DE, ES & NL |

**Theory Based Data Analysis for the Social Sciences Book Excerpt:**

Carol S. Aneshensel's Second Edition of Theory-Based Data Analysis for the Social Sciences presents the elaboration model for the multivariate analysis of observational quantitative data. Two complementary strategies are used: an exclusionary strategy and an inclusive strategy. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research serving as prototypes for aligning theory and the data analytic plan used to test it. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions.

## Using Statistical Methods in Social Science Research

Author | : Soleman Hassan Abu-Bader |

Publsiher | : Oxford University Press |

Total Pages | : 395 |

Release | : 2011-06 |

ISBN | : 0190615222 |

Category | : SPSS (Computer file) |

Language | : EN, FR, DE, ES & NL |

**Using Statistical Methods in Social Science Research Book Excerpt:**

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 Social Scientists

Author | : Eric A Hanushek,John E. Jackson |

Publsiher | : Academic Press |

Total Pages | : 374 |

Release | : 2013-10-22 |

ISBN | : 0080918573 |

Category | : Mathematics |

Language | : EN, FR, DE, ES & NL |

**Statistical Methods for Social Scientists Book Excerpt:**

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.

## Using Statistical Methods in Social Science Research

Author | : SOLEMAN H. ABU-BADER,Professor and Chair of Research Sequence at the School of Social Work Soleman H Abu-Bader |

Publsiher | : Oxford University Press, USA |

Total Pages | : 545 |

Release | : 2021-02-12 |

ISBN | : 0197522432 |

Category | : Electronic Book |

Language | : EN, FR, DE, ES & NL |

**Using Statistical Methods in Social Science Research Book Excerpt:**

Using Statistical Methods in Social Science Research, Third Edition is the user-friendly text every student needs for analyzing and making sense of quantitative data. With over 20 years of experience teaching statistics, Soleman H. Abu-Bader provides an accessible, step-by-step description of the process needed to organize data, choose a test or statistical technique, analyze, interpret, and report research findings. The book begins with an overview of research and statistical terms, followed by an explanation of basic descriptive statistics. It then focuses on the purpose, rationale, and assumptions made by each test, such as Pearson's correlation, student's t-tests, analysis of variances, and simple linear regression, among others. The book also provides a wealth of research examples that clearly display the applicability and function of these tests in real-world practice. In a separate appendix, the author provides a step-by-step process for calculating each test for those who still like to understand the mathematical formulas behind these processes.

## Statistical Methods for Communication Science

Author | : Andrew F. Hayes |

Publsiher | : Routledge |

Total Pages | : 536 |

Release | : 2009-03-04 |

ISBN | : 1135250898 |

Category | : Language Arts & Disciplines |

Language | : EN, FR, DE, ES & NL |

**Statistical Methods for Communication Science Book Excerpt:**

Statistical Methods for Communication Science is the only statistical methods volume currently available that focuses exclusively on statistics in communication research. Writing in a straightforward, personal style, author Andrew F. Hayes offers this accessible and thorough introduction to statistical methods, starting with the fundamentals of measurement and moving on to discuss such key topics as sampling procedures, probability, reliability, hypothesis testing, simple correlation and regression, and analyses of variance and covariance. Hayes takes readers through each topic with clear explanations and illustrations. He provides a multitude of examples, all set in the context of communication research, thus engaging readers directly and helping them to see the relevance and importance of statistics to the field of communication. Highlights of this text include: *thorough and balanced coverage of topics; *integration of classical methods with modern "resampling" approaches to inference; *consideration of practical, "real world" issues; *numerous examples and applications, all drawn from communication research; *up-to-date information, with examples justifying use of various techniques; and *a CD with macros, data sets, figures, and additional materials. This unique book can be used as a stand-alone classroom text, a supplement to traditional research methods texts, or a useful reference manual. It will be invaluable to students, faculty, researchers, and practitioners in communication, and it will serve to advance the understanding and use of statistical methods throughout the discipline.

## Advanced and Multivariate Statistical Methods for Social Science Research

Author | : Soleman Hassan Abu-Bader |

Publsiher | : Oxford University Press |

Total Pages | : 377 |

Release | : 2010-06 |

ISBN | : 0190616393 |

Category | : SPSS (Computer file) |

Language | : EN, FR, DE, ES & NL |

**Advanced and Multivariate Statistical Methods for Social Science Research Book Excerpt:**

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 discussion of how to utilize SPSS to run each test, read its output, interpret, and write the results. Advanced & 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 Methods for the Social and Behavioural Sciences

Author | : David B. Flora |

Publsiher | : SAGE Publications Limited |

Total Pages | : 472 |

Release | : 2018-01-30 |

ISBN | : 9781446269831 |

Category | : Social Science |

Language | : EN, FR, DE, ES & NL |

**Statistical Methods for the Social and Behavioural Sciences Book Excerpt:**

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.

## Advanced and Multivariate Statistical Methods

Author | : Craig A. Mertler,Rachel A. Vannatta |

Publsiher | : Taylor & Francis |

Total Pages | : 391 |

Release | : 2016-10-24 |

ISBN | : 1351971670 |

Category | : Mathematics |

Language | : EN, FR, DE, ES & NL |

**Advanced and Multivariate Statistical Methods Book Excerpt:**

Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math. This highly applied approach covers the why, what, when and how of advanced and multivariate statistics in a way that is neither too technical nor too mathematical. Students also learn how to compute each technique using SPSS software. New to the Sixth Edition Instructor ancillaries are now available with the sixth edition. All SPSS directions and screenshots have been updated to Version 23 of the software. Student learning objectives have been added as a means for students to target their learning and for instructors to focus their instruction. Key words are reviewed and reinforced in the end of chapter material to ensure that students understand the vocabulary of advanced and multivariate statistics.

## Methods of Statistical Analysis in the Social Sciences

Author | : George Reginald Davies,Walter Frederick Crowder |

Publsiher | : Unknown |

Total Pages | : 374 |

Release | : 1933 |

ISBN | : 1928374650XXX |

Category | : Social sciences |

Language | : EN, FR, DE, ES & NL |

**Methods of Statistical Analysis in the Social Sciences Book Excerpt:**

## Statistics in the Social Sciences

Author | : Stanislav Kolenikov,Lori Thombs,Douglas Steinley |

Publsiher | : John Wiley & Sons |

Total Pages | : 288 |

Release | : 2010-02-22 |

ISBN | : 9780470583326 |

Category | : Mathematics |

Language | : EN, FR, DE, ES & NL |

**Statistics in the Social Sciences Book Excerpt:**

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.

## Illustrating Statistical Procedures Finding Meaning in Quantitative Data

Author | : Ray W. Cooksey |

Publsiher | : Springer Nature |

Total Pages | : 737 |

Release | : 2020-05-14 |

ISBN | : 9811525374 |

Category | : Mathematics |

Language | : EN, FR, DE, ES & NL |

**Illustrating Statistical Procedures Finding Meaning in Quantitative Data Book Excerpt:**

This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis.

## Making Sense of Statistical Methods in Social Research

Author | : Keming Yang |

Publsiher | : SAGE |

Total Pages | : 216 |

Release | : 2010-03-25 |

ISBN | : 1446205592 |

Category | : Social Science |

Language | : EN, FR, DE, ES & NL |

**Making Sense of Statistical Methods in Social Research Book Excerpt:**

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.

## Handbook of Parametric and Nonparametric Statistical Procedures Fifth Edition

Author | : David J. Sheskin |

Publsiher | : CRC Press |

Total Pages | : 1388 |

Release | : 2020-06-09 |

ISBN | : 1000083276 |

Category | : Mathematics |

Language | : EN, FR, DE, ES & NL |

**Handbook of Parametric and Nonparametric Statistical Procedures Fifth Edition Book Excerpt:**

Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures.New in the Fifth Edition:Substantial updates and new material th

## Handbook of Parametric and Nonparametric Statistical Procedures

Author | : David J. Sheskin |

Publsiher | : CRC Press |

Total Pages | : 1228 |

Release | : 2003-08-27 |

ISBN | : 1420036262 |

Category | : Mathematics |

Language | : EN, FR, DE, ES & NL |

**Handbook of Parametric and Nonparametric Statistical Procedures Book Excerpt:**

Called the "bible of applied statistics," the first two editions of the Handbook of Parametric and Nonparametric Statistical Procedures were unsurpassed in accessibility, practicality, and scope. Now author David Sheskin has gone several steps further and added even more tests, more examples, and more background information-more than 200 pages of n

## The SAGE Handbook of the Philosophy of Social Sciences

Author | : Ian C Jarvie,Jesus Zamora-Bonilla |

Publsiher | : SAGE |

Total Pages | : 773 |

Release | : 2011-02-17 |

ISBN | : 1446209717 |

Category | : Social Science |

Language | : EN, FR, DE, ES & NL |

**The SAGE Handbook of the Philosophy of Social Sciences Book Excerpt:**

- what is the relationship between the social sciences and the natural sciences? - where do today′s dominant approaches to doing social science come from? - what are the main fissures and debates in contemporary social scientific thought? - how are we to make sense of seemingly contrasting approaches to how social scientists find out about the world and justify their claims to have knowledge of it? In this exciting handbook, Ian Jarvie and Jesús Zamora-Bonilla have put together a wide-ranging and authoritative overview of the main philosophical currents and traditions at work in the social sciences today. Starting with the history of social scientific thought, this handbook sets out to explore that core fundamentals of social science practice, from issues of ontology and epistemology to issues of practical method. Along the way it investigates such notions as paradigm, empiricism, postmodernism, naturalism, language, agency, power, culture, and causality. Bringing together in one volume leading authorities in the field from around the world, this book will be a must-have for any serious scholar or student of the social sciences.

## Student Solutions Manual for Statistical Methods for the Social Sciences

Author | : Alan Agresti,Barbara Finlay |

Publsiher | : Pearson |

Total Pages | : 76 |

Release | : 2008-04-01 |

ISBN | : 9780136028130 |

Category | : Business & Economics |

Language | : EN, FR, DE, ES & NL |

**Student Solutions Manual for Statistical Methods for the Social Sciences Book Excerpt:**

## Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences

Author | : Alexander von Eye,Keith E. Niedermeier |

Publsiher | : Psychology Press |

Total Pages | : 272 |

Release | : 2014-04-04 |

ISBN | : 1135671249 |

Category | : Psychology |

Language | : EN, FR, DE, ES & NL |

**Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences Book Excerpt:**

A comprehensive resource for analyzing a variety of categorical data, this book emphasizes the application of many recent advances of longitudinal categorical statistical methods. Each chapter provides basic methodology, helpful applications, examples using data from all fields of the social sciences, computer tutorials, and exercises. Written for social scientists and students, no advanced mathematical training is required. Step-by-step command files are given for both the CDAS and the SPSS software programs.

## Statistical Methods for Psychology

Author | : David C. Howell |

Publsiher | : Cengage Learning |

Total Pages | : 792 |

Release | : 2012-01-01 |

ISBN | : 1133713270 |

Category | : Psychology |

Language | : EN, FR, DE, ES & NL |

**Statistical Methods for Psychology Book Excerpt:**

STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, particularly psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasizes conceptual understanding. This Eighth Edition continues to focus students on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment. New and expanded topics--reflecting the evolving realm of statistical methods--include effect size, meta-analysis, and treatment of missing data. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.