New Statistical Procedures for the Social Sciences

New Statistical Procedures for the Social Sciences PDF Author: Rand R. Wilcox
Publisher: Psychology Press
ISBN: 9780898599367
Category : Psychology
Languages : en
Pages : 452

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Book Description
First Published in 1987. Routledge is an imprint of Taylor & Francis, an informa company.

New Statistical Procedures for the Social Sciences

New Statistical Procedures for the Social Sciences PDF Author: Rand R. Wilcox
Publisher: Psychology Press
ISBN: 9780898599367
Category : Psychology
Languages : en
Pages : 452

Get Book Here

Book Description
First Published in 1987. Routledge is an imprint of Taylor & Francis, an informa company.

New Statistical Procedures for the Social Sciences

New Statistical Procedures for the Social Sciences PDF Author: Rand R. Wilcox
Publisher: Psychology Press
ISBN: 1135059764
Category : Psychology
Languages : en
Pages : 452

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Book Description
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.

New Statistical Procedures for the Social Sciences

New Statistical Procedures for the Social Sciences PDF Author: Rand R. Wilcox
Publisher: Psychology Press
ISBN: 1135059772
Category : Psychology
Languages : en
Pages : 440

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Book Description
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.

Statistical Methods for the Social Sciences

Statistical Methods for the Social Sciences PDF Author: Alan Agresti
Publisher:
ISBN: 9781292021669
Category : Business & Economics
Languages : en
Pages : 576

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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 and Behavioural Sciences

Statistical Methods for the Social and Behavioural Sciences PDF Author: David B. Flora
Publisher: SAGE
ISBN: 1526421925
Category : Social Science
Languages : en
Pages : 786

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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.

Statistics for the Social Sciences

Statistics for the Social Sciences PDF Author: Russell T. Warne
Publisher: Cambridge University Press
ISBN: 110889853X
Category : Psychology
Languages : en
Pages : 612

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Book Description
The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.

Using Statistical Methods in Social Science Research

Using Statistical Methods in Social Science Research PDF Author: Soleman H. Abu-Bader
Publisher: Oxford University Press
ISBN: 0190685352
Category : Social Science
Languages : en
Pages : 395

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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 Modeling and Inference for Social Science

Statistical Modeling and Inference for Social Science PDF Author: Sean Gailmard
Publisher: Cambridge University Press
ISBN: 1107003148
Category : Business & Economics
Languages : en
Pages : 393

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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 will also gain the ability to create, read and critique statistical applications in their fields of interest.

Statistical Methods in Social Science Research

Statistical Methods in Social Science Research PDF Author: S P Mukherjee
Publisher: Springer
ISBN: 9811321469
Category : Social Science
Languages : en
Pages : 158

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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.

Illustrating Statistical Procedures

Illustrating Statistical Procedures PDF Author: Ray W. Cooksey
Publisher:
ISBN: 9780734611727
Category : Business
Languages : en
Pages : 0

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Book Description
This new edition updates a text that provides a set of descriptions for various statistical procedures as they are applied in the conduct of business, behavioral and social science research.