# Statistical Methods for the Social Sciences

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- Author : Alan Agresti
- Publisher : Unknown
- Release : 30 July 2013
- ISBN : 1292021667
- Page : 576 pages
- Rating : 4.5/5 from 103 voters

## Statistical Methods for the Social Sciences Book PDF summary

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

- Author : Alan Agresti,Barbara Finlay
- Publisher : Unknown
- Release Date : 2013-07-30
- ISBN : 1292021667

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

### New Statistical Procedures for the Social Sciences

- Author : Rand R. Wilcox
- Publisher : Psychology Press
- Release Date : 2013-05-13
- ISBN : 9781135059767

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

### Statistical Methods in Social Science Research

- Author : S P Mukherjee,Bikas K Sinha,Asis Kumar Chattopadhyay
- Publisher : Springer
- Release Date : 2018-10-05
- ISBN : 9789811321467

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

### Statistical Methods for Social Scientists

- Author : Eric A Hanushek,John E. Jackson
- Publisher : Academic Press
- Release Date : 2013-10-22
- ISBN : 9780080918570

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

### Statistical Analysis for the Social Sciences

- Author : Norman R. Kurtz
- Publisher : Pearson College Division
- Release Date : 1999
- ISBN : NWU:35556027822329

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.

### Statistical Methods for the Social and Behavioural Sciences

- Author : David B. Flora
- Publisher : SAGE
- Release Date : 2017-12-11
- ISBN : 9781526421920

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

### Using Statistical Methods in Social Science Research

- Author : Soleman H. Abu-Bader
- Publisher : Oxford University Press
- Release Date : 2011-07-01
- ISBN : 9780190685355

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

### Making Sense of Statistical Methods in Social Research

- Author : Keming Yang
- Publisher : SAGE
- Release Date : 2010-03-25
- ISBN : 9781446205594

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

### Statistics for the Social Sciences

- Author : R. Mark Sirkin
- Publisher : SAGE
- Release Date : 2006
- ISBN : 141290546X

This text helps build students' confidence and ability in doing statistical analysis, by slowly moving from concepts that require little computational work to those that require more.

### Statistics and Data Analysis for Social Science

- Author : Eric J. Krieg
- Publisher : SAGE Publications
- Release Date : 2019-07-11
- ISBN : 9781544352688

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

### Quantitative Methods for the Social Sciences

- Author : Daniel Stockemer
- Publisher : Springer
- Release Date : 2018-11-19
- ISBN : 9783319991184

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

### Statistics for the Social Sciences

- Author : Russell T. Warne
- Publisher : Cambridge University Press
- Release Date : 2017-12-14
- ISBN : 9781108548847

Written by a quantitative psychologist, this textbook explains complex statistics in accessible language to undergraduates in all branches of the social sciences. Built around the central framework of the General Linear Model (GLM), Statistics for the Social Sciences teaches students how different statistical methods are interrelated to one another. With the GLM as a basis, students with varying levels of background are better equipped to interpret statistics and learn more advanced methods in their later courses. Russell Warne makes statistics

### Statistics in the Social Sciences

- Author : Stanislav Kolenikov,Lori Thombs,Douglas Steinley
- Publisher : John Wiley & Sons
- Release Date : 2010-02-22
- ISBN : 0470583320

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

### Relative Distribution Methods in the Social Sciences

- Author : Mark S. Handcock,Martina Morris
- Publisher : Springer Science & Business Media
- Release Date : 2006-05-10
- ISBN : 9780387226583

This monograph presents methods for full comparative distributional analysis based on the relative distribution. This provides a general integrated framework for analysis, a graphical component that simplifies exploratory data analysis and display, a statistically valid basis for the development of hypothesis-driven summary measures, and the potential for decomposition - enabling the examination of complex hypotheses regarding the origins of distributional changes within and between groups. Written for data analysts and those interested in measurement, the text can also serve as

### Advanced and Multivariate Statistical Methods for Social Science Research

- Author : Soleman Hassan Abu-Bader
- Publisher : Oxford University Press
- Release Date : 2010-06
- ISBN : 9780190616397

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