Statistics For The Social And Behavioral Sciences
Download Statistics For The Social And Behavioral Sciences full books in PDF, epub, and Kindle. Read online free Statistics For The Social And Behavioral Sciences ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Howard T. Tokunaga |
| Publisher | : SAGE Publications |
| Total Pages | : 740 |
| Release | : 2018-09-12 |
| Genre | : Social Science |
| ISBN | : 1506377467 |
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!
| Author | : Rand Wilcox |
| Publisher | : CRC Press |
| Total Pages | : 862 |
| Release | : 2011-08-05 |
| Genre | : Mathematics |
| ISBN | : 1439834563 |
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.
| Author | : Rand Wilcox |
| Publisher | : CRC Press |
| Total Pages | : 730 |
| Release | : 2017-08-15 |
| Genre | : Mathematics |
| ISBN | : 1498796796 |
Requiring no prior training, Modern Statistics for the Social and Behavioral Sciences provides a two-semester, graduate-level introduction to basic statistical techniques that takes into account recent advances and insights that are typically ignored in an introductory course. Hundreds of journal articles make it clear that basic techniques, routinely taught and used, can perform poorly when dealing with skewed distributions, outliers, heteroscedasticity (unequal variances) and curvature. Methods for dealing with these concerns have been derived and can provide a deeper, more accurate and more nuanced understanding of data. A conceptual basis is provided for understanding when and why standard methods can have poor power and yield misleading measures of effect size. Modern techniques for dealing with known concerns are described and illustrated. Features: Presents an in-depth description of both classic and modern methods Explains and illustrates why recent advances can provide more power and a deeper understanding of data Provides numerous illustrations using the software R Includes an R package with over 1300 functions Includes a solution manual giving detailed answers to all of the exercises This second edition describes many recent advances relevant to basic techniques. For example, a vast array of new and improved methods is now available for dealing with regression, including substantially improved ANCOVA techniques. The coverage of multiple comparison procedures has been expanded and new ANOVA techniques are described. Rand Wilcox is a professor of psychology at the University of Southern California. He is the author of 13 other statistics books and the creator of the R package WRS. He currently serves as an associate editor for five statistics journals. He is a fellow of the Association for Psychological Science and an elected member of the International Statistical Institute.
| Author | : Annabel Ness Evans |
| Publisher | : SAGE Publications |
| Total Pages | : 605 |
| Release | : 2013-06-06 |
| Genre | : Social Science |
| ISBN | : 1483323617 |
In this fully updated edition of Using Basic Statistics in the Behavioral and Social Sciences, Annabel Ness Evans presents introductory statistics in a practical, conceptual, and humorous way, reducing the anxiety that many students experience in introductory courses. Avoiding complex notation and derivations, the book focuses on helping readers develop an understanding of the underlying logic of statistics, rather than rote memorization. Focus on Research boxes engage students with realistic applications of statistics, and end-of-chapter exercises ensure student comprehension. This exciting new edition includes a greater number of realistic and engaging global examples within the social and behavioral sciences, making it ideal for use within many departments or in interdisciplinary settings.
| Author | : Barry H. Cohen |
| Publisher | : John Wiley & Sons |
| Total Pages | : 312 |
| Release | : 2004 |
| Genre | : Psychology |
| ISBN | : |
Summarizing the material ordinarily covered in an introductory statistics course, this handbook introduces basic concepts and statistical methods. It also offers practical advice concerning the selection of procedures, demonstrates the means of evaluating and interpreting data, provides numerous formulas, and supplies a variety of worked examples. The authors teach psychology at New York University and Macalester College. Annotation ♭2004 Book News, Inc., Portland, OR (booknews.com).
| Author | : David A. Kenny |
| Publisher | : |
| Total Pages | : 407 |
| Release | : 1987 |
| Genre | : Psychologie - Méthodes statistiques |
| ISBN | : 9780316489157 |
| Author | : M. Kraska-MIller |
| Publisher | : CRC Press |
| Total Pages | : 250 |
| Release | : 2013-12-09 |
| Genre | : Mathematics |
| ISBN | : 1466507624 |
Description: Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common nonparametric procedures using IBM's SPSS software. This text is the only current nonparametric book written specifically for students in the behavioral and social sciences. Emphasizing sound research designs, appropriate statistical analyses, and accurate interpretations of results, the text: Explains a conceptual framework for each statistical procedure Presents examples of relevant research problems, associated research questions, and hypotheses that precede each procedure Details SPSS paths for conducting various analyses Discusses the interpretations of statistical results and conclusions of the research With minimal coverage of formulas, the book takes a nonmathematical approach to nonparametric data analysis procedures and shows students how they are used in research contexts. Each chapter includes examples, exercises, and SPSS screen shots illustrating steps of the statistical procedures and resulting output.
| Author | : Steven P. Schacht |
| Publisher | : Routledge |
| Total Pages | : 321 |
| Release | : 2018-05-04 |
| Genre | : Social Science |
| ISBN | : 0429965850 |
Revised and updated to include the behavioral sciences, the second edition of this introductory statistics book engages students with real-world examples and exercises. To the dismay of many social and behavioral science majors, successfully passing a statistics course in sociology, psychology, and most other social/behavioral science programs is required, and at many institutions statistics is becoming a university-wide requirement. In this newly revised text, the authors continue to make use of their proven stress-busting approach to teaching statistics to self-describe math phobic students. This book uses humorous examples and step-by-step presentations of statistical procedures to illustrate what are often complex and hard-to-grasp statistical concepts. Students and instructors will find this text to be a helpful, easy to interpret and thoroughly comprehensive introduction to social and behavioral statistics. Perfect for social and behavioral sciences upper-level undergrads fearful of that required stats course. It uses stress-busting features like cartoons and real-world examples to illustrate what are often complex and hard-to-grasp statistical concepts. Includes the newest and most necessary tools for students to master statistical skills making handouts or additional books unnecessary and gives instructors and their students a compact and affordable main text for their introductory stats courses.
| Author | : Renee R. Ha |
| Publisher | : SAGE |
| Total Pages | : 433 |
| Release | : 2011-04-04 |
| Genre | : Mathematics |
| ISBN | : 1452237298 |
Designed to engage students and lower their "fear factor", Integrative Statistics for the Social and Behavioral Sciences is a concise, user-friendly text that prepares students to use statistics in the real world. Providing depth and breadth of statistical tests, the text focuses on choosing the appropriate statistical analysis, and shows how to interpret the output and present the results.
| Author | : Xiaofeng Steven Liu |
| Publisher | : Routledge |
| Total Pages | : 285 |
| Release | : 2013-11-07 |
| Genre | : Psychology |
| ISBN | : 1136464182 |
This is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are increasingly used in the social and behavioral sciences. Both basic and advanced designs are covered. Readers are shown how to apply power analysis to techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling. Each chapter opens with a review of the statistical procedure and then proceeds to derive the power functions. This is followed by examples that demonstrate how to produce power tables and charts. The book clearly shows how to calculate power by providing open code for every design and procedure in R, SAS, and SPSS. Readers can verify the power computation using the computer programs on the book's website. There is a growing requirement to include power analysis to justify sample sizes in grant proposals. Most chapters are self-standing and can be read in any order without much disruption.This book will help readers do just that. Sample computer code in R, SPSS, and SAS at www.routledge.com/9781848729810 are written to tabulate power values and produce power curves that can be included in a grant proposal. Organized according to various techniques, chapters 1 – 3 introduce the basics of statistical power and sample size issues including the historical origin, hypothesis testing, and the use of statistical power in t tests and confidence intervals. Chapters 4 - 6 cover common statistical procedures -- analysis of variance, linear regression (both simple regression and multiple regression), correlation, analysis of covariance, and multivariate analysis. Chapters 7 - 11 review the new statistical procedures -- multi-level models, meta-analysis, structural equation models, and longitudinal studies. The appendixes contain a tutorial about R and show the statistical theory of power analysis. Intended as a supplement for graduate courses on quantitative methods, multivariate statistics, hierarchical linear modeling (HLM) and/or multilevel modeling and SEM taught in psychology, education, human development, nursing, and social and life sciences, this is the first text on statistical power for advanced procedures. Researchers and practitioners in these fields also appreciate the book‘s unique coverage of the use of statistical power analysis to determine sample size in planning a study. A prerequisite of basic through multivariate statistics is assumed.
