*A Brief Course*

Author: Arthur Aron,Elaine Aron,Elliot J. Coups

Publisher: Prentice Hall

ISBN: N.A

Category: Social Science

Page: 477

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## Statistics for the Behavioral and Social Sciences

For one-quarter/semester courses that focus on the basics or combine statistics with research methods. By using definitional formulas to emphasize the concepts of statistics, rather than rote memorization, students work problems in a way that keeps them constantly aware of the underlying logic of what they are doing. Here, in the fourth edition ofStatistics for the Behavioral and Social Sciences, the authors have refined their text by building off an already well-established approach - emphasizing the intuitive, deemphasizing the mathematical, and explaining everything in direct, simple language - but also going beyond these principles to both further student understanding and stimulate the long-suffering community of statistics instructors. By using definitional formulas to emphasize the concepts of statistics, rather than rote memorization, students work problems in a way that keeps them constantly aware of the underlying logic of what they are doing.
## Using Basic Statistics in the Behavioral and Social Sciences

Using Basic Statistics in the Behavioral and Social Sciences, Fifth Edition, by 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 derivation, the book focuses on helping readers develop an understanding of the underlying logic of statistics. Practical 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.
## Statistics for The Behavioral Sciences

This field-leading introduction to statistics text for students in the behavioral and social sciences continues to offer straightforward instruction, accuracy, built-in learning aids, and real-world examples. The goals of STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition are to teach the methods of statistics and convey the basic principles of objectivity and logic that are essential for science -- and valuable in everyday life. Authors Frederick Gravetter and Larry Wallnau help students understand statistical procedures through a conceptual context that explains why the procedures were developed and when they should be used. Students have numerous opportunities to practice statistical techniques through learning checks, examples, step-by-step demonstrations, and problems. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
## Fundamental Statistics for the Social and Behavioral Sciences

This thematically-based textbook places statistics within the research process, illustrating how statistics are used to answer questions and test ideas. Students learn not only how to calculate statistics, but also how to interpret the results of statistical analyses in light of a study’s research hypothesis and to communicate their results and interpretations to a broader audience. Featuring accessible writing and well-integrated research examples, Fundamental Statistics for the Social and Behavioral Sciences by Howard T. Tokunaga is designed to help readers develop an appreciation of how statistics are applied to topics and questions of interest, gain an appreciation of issues related to the use of statistics, and enhance their understanding of the research process and the role of statistics within it.
## Essentials of Statistics for the Social and Behavioral Sciences

Master the essential statistical skills used in social and behavioral sciences Essentials of Statistics for the Social and Behavioral Sciences distills the overwhelming amount of material covered in introductory statistics courses into a handy, practical resource for students and professionals. This accessible guide covers basic to advanced concepts in a clear, concrete, and readable style. Essentials of Statistics for the Social and Behavioral Sciences guides you to a better understanding of basic concepts of statistical methods. Numerous practical tips are presented for selecting appropriate statistical procedures. In addition, this useful guide demonstrates how to evaluate and interpret statistical data, provides numerous formulas for calculating statistics from tables of summary statistics, and offers a variety of worked examples. As part of the Essentials of Behavioral Science series, this book offers a thorough review of the most relevant statistical concepts and techniques that will arm you with the tools you'll need for knowledgeable, informed practice. Each concise chapter features numerous callout boxes highlighting key concepts, bulleted points, and extensive illustrative material, as well as "Test Yourself" questions that help you gauge and reinforce your grasp of the information covered.
## Modern Statistics for the Social and Behavioral Sciences

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.
## Statistical Power Analysis for the Social and Behavioral Sciences

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.
## Statistical Methods for the Social and Behavioural Sciences

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.
## Essentials of Statistics for The Behavioral Sciences

A brief version of Gravetter and Wallnau's proven bestseller, ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 9th Edition delivers straightforward instruction, unrivaled accuracy, built-in learning aids, and a wealth of real-world examples and illustrations. The authors take time to explain statistical procedures so that students can go beyond memorizing formulas and begin gaining a conceptual understanding of statistics. By skillfully integrating applications that reinforce concepts, they ensure that even students with a weak background in mathematics can fully understand statistics. The text also leads readers to become savvy consumers of information by showing how having an understanding of statistical procedures will help them comprehend published findings. This edition features a new focus on learning objectives, which provide a structure for organizing lectures and preparing assignments and exams. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
## Nonparametric Statistics for Social and Behavioral Sciences

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.
## Statistics for the Behavioral Sciences

The engaging Third Edition of Statistics for the Behavioral Sciences shows students that statistics can be understandable, interesting, and relevant to their daily lives. Using a conversational tone, award-winning teacher and author Gregory J. Privitera speaks to the reader as researcher when covering statistical theory, computation, and application. Robust pedagogy allows students to continually check their comprehension and hone their skills when working through carefully developed problems and exercises that include current research and seamless integration of SPSS. This edition will not only prepare students to be lab-ready, but also give them the confidence to use statistics to summarize data and make decisions about behavior.
## Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

This book outlines Bayesian statistical analysis in great detail, from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models that are most commonly used in social science research - including the linear regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data example in painstaking detail.
## Statistics for the Behavioral Sciences

Nolan and Heinzen's uniquely effective introduction to statistics captivates students with its real-world storytelling and examples, its highly visual approach to teaching statistics, its accessible treatment of mathematical topics, and its helpful, step-by-step worked examples. The new edition focuses on enhancing those signature strengths while adding powerful new tools to the book's media offerings.
## Statistical Power Analysis for the Behavioral Sciences

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.
## Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences

Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers to real-life issues. The author begins by exploring the types and design of behavioral studies. He also explains how models are used in the analysis of data. After describing graphical methods, such as scatterplot matrices, the text covers simple linear regression, locally weighted regression, multiple linear regression, regression diagnostics, the equivalence of regression and ANOVA, the generalized linear model, and logistic regression. The author then discusses aspects of survival analysis, linear mixed effects models for longitudinal data, and the analysis of multivariate data. He also shows how to carry out principal components, factor, and cluster analyses. The final chapter presents approaches to analyzing multivariate observations from several different populations. Through real-life applications of statistical methodology, this book elucidates the implications of behavioral science studies for statistical analysis. It equips behavioral science students with enough statistical tools to help them succeed later on in their careers. Solutions to the problems as well as all R code and data sets for the examples are available at www.crcpress.com
## International Encyclopedia of Social & Behavioral Sciences

This Encyclopedia is the first attempt in a generation to map the social and behavioral sciences on a grand scale. Not since the publication in 1968 of the International Encyclopedia of the Social Sciences, edited by David L. Sills, has there been such an ambitious project to describe the state of the art in all the fields encompassed within the social and behavioral sciences. Available in both print (26 volumes) and online editions, it comprises 4,000 articles, commissioned by 52 Section Editors, and includes 90,000 bibliographic references as well as comprehensive name and subject indexes.
## Basic Statistics for the Behavioral Sciences

Packed with real-world illustrations and the latest data available, BASIC STATISTICS FOR THE BEHAVIORAL SCIENCES, 7e demystifies and fully explains statistics in a lively, reader-friendly format. The author's clear, patiently crafted explanations with an occasional touch of humor, teach readers not only how to compute an answer but also why they should perform the procedure or what their answer reveals about the data. Offering a conceptual-intuitive approach, this popular book presents statistics within an understandable research context, deals directly and positively with potential weaknesses in mathematics, and introduces new terms and concepts in an integrated way. Available with InfoTrac Student Collections http://gocengage.com/infotrac. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
## Occupational Outlook Handbook 2009

A directory for up-and-coming jobs in the near-future employment market includes recommendations for finding or advancing a career and draws on statistics from the U.S. Department of Labor, in a guide that includes coverage of more than 250 occupations. Original.
## Statistics for Behavioual and Social Sciences

This text presents the major statistical concepts, methods and designs, and their analyses in simple, easily accessible language.
## Integrative Statistics for the Social and Behavioral Sciences

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. Basic descriptive statistics, hypothesis testing, and basic inferential statistics are covered along with more advanced topics such as correlation, regression, non-parametric statistics, multivariate statistics, and general linear modeling. The authors emphasize choosing the appropriate statistical test through conceptual material, assumptions, homework exercises, and a helpful "choose-the-appropriate-test" flowchart. They focus on the interpretation of results from both Excel and SPSS outputs, and also demonstrate how to do important calculations by hand to help students grasp the underlying concepts. The book includes end-of-chapter exercises that help students fully grasp the content of each chapter.

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*A Brief Course*

Author: Arthur Aron,Elaine Aron,Elliot J. Coups

Publisher: Prentice Hall

ISBN: N.A

Category: Social Science

Page: 477

View: 857

Author: Annabel Ness Evans

Publisher: SAGE Publications

ISBN: 1483323617

Category: Social Science

Page: 624

View: 2896

Author: Frederick J Gravetter,Larry B. Wallnau

Publisher: Cengage Learning

ISBN: 1305856422

Category: Education

Page: 768

View: 717

Author: Howard T. Tokunaga

Publisher: SAGE Publications

ISBN: 148331880X

Category: Social Science

Page: 816

View: 3658

Author: Barry H. Cohen,R. Brooke Lea

Publisher: John Wiley & Sons

ISBN: 0471480762

Category: Psychology

Page: 291

View: 3523

*A Practical Introduction, Second Edition*

Author: Rand Wilcox

Publisher: CRC Press

ISBN: 149879680X

Category: Mathematics

Page: 706

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*Basic and Advanced Techniques*

Author: Xiaofeng Steven Liu

Publisher: Routledge

ISBN: 1136464182

Category: Psychology

Page: 400

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*A Model-Based Approach*

Author: David B. Flora

Publisher: SAGE

ISBN: 1526421925

Category: Social Science

Page: 472

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Author: Frederick J Gravetter,Larry B. Wallnau,Lori-Ann B. Forzano

Publisher: Cengage Learning

ISBN: 1337098124

Category: Education

Page: 648

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Author: M. Kraska-MIller

Publisher: CRC Press

ISBN: 1466507624

Category: Mathematics

Page: 260

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Author: Gregory J. Privitera

Publisher: SAGE Publications

ISBN: 1506386237

Category: Psychology

Page: 816

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Author: Scott M. Lynch

Publisher: Springer Science & Business Media

ISBN: 0387712658

Category: Social Science

Page: 359

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Author: Susan A. Nolan,Thomas Heinzen

Publisher: Macmillan

ISBN: 142923265X

Category: Psychology

Page: 736

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Author: Jacob Cohen

Publisher: Routledge

ISBN: 1134742770

Category: Psychology

Page: 567

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Author: Brian S. Everitt

Publisher: CRC Press

ISBN: 1439807701

Category: Business & Economics

Page: 320

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Author: N.A

Publisher: Newnes

ISBN: 0080548059

Category: Social Science

Page: 17500

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Author: Gary Heiman

Publisher: Cengage Learning

ISBN: 1285531779

Category: Education

Page: 504

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Author: U. S. Department of Labor

Publisher: Skyhorse Publishing Inc.

ISBN: 1602393206

Category: Business & Economics

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Author: Banamali Mohanty,Santa Misra

Publisher: N.A

ISBN: 9789351501817

Category: Psychology

Page: 1482

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Author: Renee R. Ha,James C. Ha

Publisher: SAGE

ISBN: 1452237298

Category: Mathematics

Page: 432

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