Understanding Social Science Statistics

Understanding Social Science Statistics

Author: Roger Bakeman

Publisher: Psychology Press

Published: 1992

Total Pages: 476

ISBN-13:

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This book is designed for advanced undergraduate and beginning graduate students, as well as for active and productive researchers who want to enhance their grasp of standard social science statistics. Topics covered include hypothesis testing, type I and II errors, simple and multiple correlation and regression, categorical variables coding, assessment of both statistical significance and the magnitude of effects, standard experimental designs, analysis of covariance, and power analysis. Both between- and within-subjects designs and their associated post-hoc tests are presented. The core of Understanding Social Science Statisticsis a series of exercises performed on a microcomputer using a spreadsheet program (like LOTUS 1-2-3) which is included with the book. The program allows for quick, hands-on analysis of realistic data using conceptually meaningful computations. As readers complete the exercises in this book they accumulate a set of spreadsheet templates that can be used with any appropriate data, creating, in effect, their own personal statistical package. Excellent for use in the classroom or as a self-study guide, this text is intended to entice the sort of student who is otherwise intimidated by statistics. The level of presentation is simple and straightforward; conceptual underpinnings and practical applications are stressed, whereas algebraic derivations and complex formulaic manipulations are avoided; and new material and ideas are presented in the context of concrete, running examples. This volume emphasizes basic statistical literacy. The level of presentation is straightforward and intended to entice the sort of student who otherwise feels intimidated by statistics. A series of integrated exercises (using a standard spreadsheet program) make it especially useful as a self-study guide for those who want to improve their statistical understanding while working at their own pace. Note: 5 1/4" disk accompanying this volume is designed and distributed for, and may only be used on, IBM PCs, XTs, ATs, and PS/2s or compatibles running MS DOS 2.0 or above.


Understanding Statistics

Understanding Statistics

Author: William C. Follett

Publisher: Wadsworth Publishing Company

Published: 1994

Total Pages: 372

ISBN-13: 9780314037077

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This statistics text for social/behavioral science students focuses on making statistics mathematically unintimidating (single subscript notation throughout). Topics are introduced and discussed in conjunction with exciting, contemporary, real-world examples. Includes ample practice problemsQall completely solved.


Fundamental Statistics for the Social and Behavioral Sciences

Fundamental Statistics for the Social and Behavioral Sciences

Author: Howard T. Tokunaga

Publisher: SAGE Publications

Published: 2018-09-12

Total Pages: 740

ISBN-13: 1506377467

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Fundamental Statistics for the Social and Behavioral Sciences, Second Edition, places statistics within the research process, illustrating how they are used to answer questions and test ideas. Students learn not only how to calculate statistics, but also how to interpret and communicate the results of statistical analyses in light of a study’s research hypothesis. Featuring accessible writing and well-integrated research examples, the book gives students a greater understanding of how research studies are conceived, conducted, and communicated. The Second Edition includes a new chapter on regression; covers how collected data can be organized, presented and summarized; the process of conducting statistical analyses to test research questions, hypotheses, and issues/controversies; and examines statistical procedures used in research situations that vary in the number of independent variables in the study. Every chapter includes learning checks, such as review questions and summary boxes, to reinforce the content students just learned, and exercises at the end of every chapter help assess their knowledge. Also new to the Second Edition -- animated video tutorials!


Understanding Statistics and Experimental Design

Understanding Statistics and Experimental Design

Author: Michael H. Herzog

Publisher: Springer

Published: 2019-08-13

Total Pages: 146

ISBN-13: 3030034992

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This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.


Statistics for the Behavioural Sciences

Statistics for the Behavioural Sciences

Author: Riccardo Russo

Publisher: Psychology Press

Published: 2004-08-02

Total Pages: 257

ISBN-13: 1135425558

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Do you find statistics overwhelming and confusing? Have you ever wished for someone to explain the basics in a clear and easy-to-follow style? This accessible textbook gives a step-by-step introduction to all the topics covered in introductory statistics courses for the behavioural sciences, with plenty of examples discussed in depth, based on real psychology experiments utilising the statistical techniques described. Advanced sections are also provided, for those who want to learn a particular topic in more depth. Statistics for the Behavioural Sciences: An Introduction begins with an introduction to the basic concepts, before providing a detailed explanation of basic statistical tests and concepts such as descriptive statistics, probability, the binomial distribution, continuous random variables, the normal distribution, the Chi-Square distribution, the analysis of categorical data, t-tests, correlation and regression. This timely and highly readable text will be invaluable to undergraduate students of psychology, and students of research methods courses in related disciplines, as well as anyone with an interest in the basic concepts and tests associated with statistics in the behavioural sciences.


Statistics for the Behavioral Sciences

Statistics for the Behavioral Sciences

Author: Gregory J. Privitera

Publisher: SAGE

Published: 2011-09-07

Total Pages: 737

ISBN-13: 141296931X

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Statistics for the Behavioral Sciences is an introduction to statistics text that will engage students in an ongoing spirit of discovery by illustrating how statistics apply to modern-day research problems. By integrating instructions, screenshots, and practical examples for using IBM SPSS® Statistics software, the book makes it easy for students to learn statistical concepts within each chapter. Gregory J. Privitera takes a user-friendly approach while balancing statistical theory, computation, and application with the technical instruction needed for students to succeed in the modern era of data collection, analysis, and statistical interpretation.


Fundamental Statistics for the Behavioral Sciences

Fundamental Statistics for the Behavioral Sciences

Author: David C. Howell

Publisher: Cengage Learning

Published: 2016-02-02

Total Pages: 0

ISBN-13: 9780357670682

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FUNDAMENTAL STATISTICS FOR THE BEHAVIORAL SCIENCES focuses on providing the context of statistics in behavioral research, while emphasizing the importance of looking at data before jumping into a test. This practical approach provides students with an understanding of the logic behind the statistics, so they understand why and how certain methods are used -- rather than simply carry out techniques by rote. Students move beyond number crunching to discover the meaning of statistical results and appreciate how the statistical test to be employed relates to the research questions posed by an experiment. Written in an informal style, the text provides an abundance of real data and research studies that provide a real-life perspective and help students learn and understand concepts. In alignment with current trends in statistics in the behavioral sciences, the text emphasizes effect sizes and meta-analysis, and integrates frequent demonstrations of computer analyses through SPSS and R. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.


Modern Statistics for the Social and Behavioral Sciences

Modern Statistics for the Social and Behavioral Sciences

Author: Rand Wilcox

Publisher: CRC Press

Published: 2011-08-05

Total Pages: 862

ISBN-13: 1439834563

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In addition to learning how to apply classic statistical methods, students need to understand when these methods perform well, and when and why they can be highly unsatisfactory. Modern Statistics for the Social and Behavioral Sciences illustrates how to use R to apply both standard and modern methods to correct known problems with classic techniques. Numerous illustrations provide a conceptual basis for understanding why practical problems with classic methods were missed for so many years, and why modern techniques have practical value. Designed for a two-semester, introductory course for graduate students in the social sciences, this text introduces three major advances in the field: Early studies seemed to suggest that normality can be assumed with relatively small sample sizes due to the central limit theorem. However, crucial issues were missed. Vastly improved methods are now available for dealing with non-normality. The impact of outliers and heavy-tailed distributions on power and our ability to obtain an accurate assessment of how groups differ and variables are related is a practical concern when using standard techniques, regardless of how large the sample size might be. Methods for dealing with this insight are described. The deleterious effects of heteroscedasticity on conventional ANOVA and regression methods are much more serious than once thought. Effective techniques for dealing heteroscedasticity are described and illustrated. Requiring no prior training in statistics, Modern Statistics for the Social and Behavioral Sciences provides a graduate-level introduction to basic, routinely used statistical techniques relevant to the social and behavioral sciences. It describes and illustrates methods developed during the last half century that deal with known problems associated with classic techniques. Espousing the view that no single method is always best, it imparts a general understanding of the relative merits of various techniques so that the choice of method can be made in an informed manner.