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| Author | : Rand R. Wilcox |
| Publisher | : Psychology Press |
| Total Pages | : 452 |
| Release | : 1987 |
| Genre | : Psychology |
| ISBN | : 9780898599367 |
First Published in 1987. Routledge is an imprint of Taylor & Francis, an informa company.
| Author | : Rand R. Wilcox |
| Publisher | : Psychology Press |
| Total Pages | : 440 |
| Release | : 2013-05-13 |
| Genre | : Psychology |
| ISBN | : 1135059772 |
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.
| Author | : Alan Agresti |
| Publisher | : |
| Total Pages | : 576 |
| Release | : 2013-07-30 |
| Genre | : Business & Economics |
| ISBN | : 9781292021669 |
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.
| Author | : Ray W. Cooksey |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2014 |
| Genre | : Business |
| ISBN | : 9780734611727 |
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.
| Author | : Soleman H. Abu-Bader |
| Publisher | : Oxford University Press |
| Total Pages | : 395 |
| Release | : 2011-07-01 |
| Genre | : Social Science |
| ISBN | : 0190685352 |
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.
| Author | : Russell T. Warne |
| Publisher | : Cambridge University Press |
| Total Pages | : 612 |
| Release | : 2020-12-17 |
| Genre | : Psychology |
| ISBN | : 110889853X |
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.
| Author | : R. Mark Sirkin |
| Publisher | : SAGE Publications, Incorporated |
| Total Pages | : 0 |
| Release | : 1999-05-14 |
| Genre | : Social Science |
| ISBN | : 9780761914181 |
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.
| Author | : S P Mukherjee |
| Publisher | : Springer |
| Total Pages | : 158 |
| Release | : 2018-10-05 |
| Genre | : Social Science |
| ISBN | : 9811321469 |
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.
| Author | : David B. Flora |
| Publisher | : SAGE |
| Total Pages | : 786 |
| Release | : 2017-12-11 |
| Genre | : Social Science |
| ISBN | : 1526421925 |
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.
| Author | : R. Mark Sirkin |
| Publisher | : SAGE |
| Total Pages | : 636 |
| Release | : 2006 |
| Genre | : Mathematics |
| ISBN | : 9781412905466 |
Do your students lack confidence in their ability to handle quantitative work? Do they get confused about how to enter statistical data on SAS, SPSS, and Excel programs? The new Third Edition of the bestselling Statistics for the Social Sciences is the solution to these dilemmas 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 fearing 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. The book includes lists of key concepts, chapter exercises, topic boxes, and more
