Statistical Methods For The Social And Behavioural Sciences

Author : David B. Flora
Publisher : SAGE
Page : 769 pages
File Size : 40,5 Mb
Release : 2017-12-11
Category : Social Science
ISBN : 9781526421920

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Statistical Methods for the Social and Behavioural Sciences by David B. Flora Pdf

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 : Jacob Cohen
Publisher : Routledge
Page : 625 pages
File Size : 49,8 Mb
Release : 2013-05-13
Category : Psychology
ISBN : 9781134742776

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Statistical Power Analysis for the Behavioral Sciences by Jacob Cohen Pdf

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.

Author : Leonard A. Marascuilo
Publisher : Unknown
Page : 816 pages
File Size : 51,8 Mb
Release : 1988
Category : Electronic
ISBN : OCLC:223279437

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Statistical Methods for the Social and Behavioral Sciences by Leonard A. Marascuilo Pdf

Author : Brian Joseph Gillespie,Kathleen Charli Hibbert,William E. Wagner, III
Publisher : SAGE Publications
Page : 268 pages
File Size : 55,6 Mb
Release : 2020-02-07
Category : Social Science
ISBN : 9781544344003

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A Guide to R for Social and Behavioral Science Statistics by Brian Joseph Gillespie,Kathleen Charli Hibbert,William E. Wagner, III Pdf

A Guide to R for Social and Behavioral Science Statistics is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudio®. The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written as a companion book to be used alongside a larger introductory statistics text, the text follows the most common progression of statistics for social scientists. The guide also serves as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. This guide can teach anyone how to use R to analyze data, and uses frequent reminders of basic statistical concepts to accompany instructions in R to help walk students through the basics of learning how to use R for statistics.

Author : Xiaofeng Steven Liu
Publisher : Routledge
Page : 285 pages
File Size : 46,5 Mb
Release : 2013-11-07
Category : Psychology
ISBN : 9781136464188

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Statistical Power Analysis for the Social and Behavioral Sciences by Xiaofeng Steven Liu Pdf

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.

Author : G. Arminger,Clifford C. Clogg,M.E. Sobel
Publisher : Springer Science & Business Media
Page : 603 pages
File Size : 51,5 Mb
Release : 2013-06-29
Category : Psychology
ISBN : 9781489912923

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Handbook of Statistical Modeling for the Social and Behavioral Sciences by G. Arminger,Clifford C. Clogg,M.E. Sobel Pdf

Contributors thoroughly survey the most important statistical models used in empirical reserch in the social and behavioral sciences. Following a common format, each chapter introduces a model, illustrates the types of problems and data for which the model is best used, provides numerous examples that draw upon familiar models or procedures, and includes material on software that can be used to estimate the models studied. This handbook will aid researchers, methodologists, graduate students, and statisticians to understand and resolve common modeling problems.

Author : David R. Boniface
Publisher : Routledge
Page : 276 pages
File Size : 49,8 Mb
Release : 2019-05-20
Category : Mathematics
ISBN : 9781351449298

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Experiment Design and Statistical Methods For Behavioural and Social Research by David R. Boniface Pdf

Experiment Design and Statistical Methods introduces the concepts, principles, and techniques for carrying out a practical research project either in real world settings or laboratories - relevant to studies in psychology, education, life sciences, social sciences, medicine, and occupational and management research. The text covers: repeated measures unbalanced and non-randomized experiments and surveys choice of design adjustment for confounding variables model building and partition of variance covariance multiple regression Experiment Design and Statistical Methods contains a unique extension of the Venn diagram for understanding non-orthogonal design, and it includes exercises for developing the reader's confidence and competence. The book also examines advanced techniques for users of computer packages or data analysis, such as Minitab, SPSS, SAS, SuperANOVA, Statistica, BMPD, SYSTAT, Genstat, and GLIM.

Author : John E. Edlund,Austin Lee Nichols
Publisher : Cambridge University Press
Page : 389 pages
File Size : 45,6 Mb
Release : 2019-03-14
Category : Psychology
ISBN : 9781108425933

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Advanced Research Methods for the Social and Behavioral Sciences by John E. Edlund,Austin Lee Nichols Pdf

Written by an interdisciplinary team of global experts, this book is an invaluable tool for anyone learning about research methods.

Author : Barry H. Cohen,R. Brooke Lea
Publisher : John Wiley & Sons
Page : 291 pages
File Size : 47,6 Mb
Release : 2004-04-01
Category : Psychology
ISBN : 9780471480761

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Essentials of Statistics for the Social and Behavioral Sciences by Barry H. Cohen,R. Brooke Lea Pdf

Master the essential statistical skills used in social andbehavioral sciences Essentials of Statistics for the Social and Behavioral Sciencesdistills the overwhelming amount of material covered inintroductory statistics courses into a handy, practical resourcefor students and professionals. This accessible guide covers basicto advanced concepts in a clear, concrete, and readablestyle. Essentials of Statistics for the Social and Behavioral Sciencesguides you to a better understanding of basic concepts ofstatistical methods. Numerous practical tips are presented forselecting appropriate statistical procedures. In addition, thisuseful guide demonstrates how to evaluate and interpret statisticaldata, provides numerous formulas for calculating statistics fromtables of summary statistics, and offers a variety of workedexamples. As part of the Essentials of Behavioral Science series, this bookoffers a thorough review of the most relevant statistical conceptsand techniques that will arm you with the tools you'll need forknowledgeable, informed practice. Each concise chapter featuresnumerous 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 theinformation covered.

Author : Narayanaswamy Balakrishnan
Publisher : John Wiley & Sons
Page : 0 pages
File Size : 44,8 Mb
Release : 2012-10-09
Category : Social Science
ISBN : 0470405074

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Methods and Applications of Statistics in the Social and Behavioral Sciences by Narayanaswamy Balakrishnan Pdf

Explore classic and cutting-edge statistical tools used in conducting diverse research in the behavioral and social sciences Inspired by the multifaceted Encyclopedia of Statistical Sciences, Second Edition, this book provides a concise, self-contained reference for readers wishing to gain quick access to cutting-edge information about the application of statistical methods and techniques in the social and behavioral sciences. Featuring contributions from over 100 leading experts in academia and industry, this work combines key articles from the Encyclopedia with new and thoroughly updated content that addresses the latest research methods for gathering, reporting, and analyzing data across diverse subject areas, including economics, psychology, demography, political science, and communications. The book features new and updated content on quantitative methods and their use in understanding the latest topics in social and behavioral research, including: Childhood Obesity Agriculture Production Current Population Surveys Econometrics Affluence, Poverty, and Quality of Life Each contribution offers authoritative, yet easily accessible, coverage of statistical concepts. With updated references and discussion of relevant research topics, readers are provided with the various statistical methods, techniques, strategies, and applications that are essential in tackling critical issues pertaining to the social and behavioral sciences. Providing a blend of traditional methodology and the latest research, Methods and Applications of Statistics in the Social and Behavioral Sciences is an excellent resource for researchers, professionals, and students in the fields of sociology, psychology, philosophy, education, political science, and related disciplines who would like to learn about the uses of statistics in gathering, reporting, and analyzing data.

Author : Yuelin Li,Jonathan Baron
Publisher : Springer Science & Business Media
Page : 245 pages
File Size : 46,7 Mb
Release : 2011-12-02
Category : Social Science
ISBN : 1461412382

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Behavioral Research Data Analysis with R by Yuelin Li,Jonathan Baron Pdf

This book is written for behavioral scientists who want to consider adding R to their existing set of statistical tools, or want to switch to R as their main computation tool. The authors aim primarily to help practitioners of behavioral research make the transition to R. The focus is to provide practical advice on some of the widely-used statistical methods in behavioral research, using a set of notes and annotated examples. The book will also help beginners learn more about statistics and behavioral research. These are statistical techniques used by psychologists who do research on human subjects, but of course they are also relevant to researchers in others fields that do similar kinds of research. The authors emphasize practical data analytic skills so that they can be quickly incorporated into readers’ own research.

Author : Rand Wilcox
Publisher : CRC Press
Page : 862 pages
File Size : 48,9 Mb
Release : 2011-08-05
Category : Mathematics
ISBN : 9781439834565

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Modern Statistics for the Social and Behavioral Sciences by Rand Wilcox Pdf

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 : M. Kraska-MIller
Publisher : CRC Press
Page : 260 pages
File Size : 42,5 Mb
Release : 2013-12-09
Category : Mathematics
ISBN : 9781466507623

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Nonparametric Statistics for Social and Behavioral Sciences by M. Kraska-MIller Pdf

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 : Rand Wilcox
Publisher : CRC Press
Page : 730 pages
File Size : 47,7 Mb
Release : 2017-08-15
Category : Mathematics
ISBN : 9781498796798

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Modern Statistics for the Social and Behavioral Sciences by Rand Wilcox Pdf

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 : K. Paul Nesselroade, Jr,Laurence G. Grimm
Publisher : John Wiley & Sons
Page : 960 pages
File Size : 42,8 Mb
Release : 2018-11-01
Category : Social Science
ISBN : 9781119355380

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Statistical Applications for the Behavioral and Social Sciences by K. Paul Nesselroade, Jr,Laurence G. Grimm Pdf

An updated edition of a classic text on applying statistical analyses to the social sciences, with reviews, new chapters, an expanded set of post-hoc analyses, and information on computing in Excel and SPSS Now in its second edition,Statistical Applications for the Behavioral and Social Sciences has been revised and updated and continues to offer an essential guide to the conceptual foundations of statistical analyses (particularly inferential statistics), placing an emphasis on connecting statistical tools with appropriate research contexts. Designed to be accessible, the text contains an applications-oriented, step-by-step presentation of the statistical theories and formulas most often used by the social sciences. The revised text also includes an entire chapter on the basic concepts in research, presenting an overall context for all the book's statistical theories and formulas. The authors cover descriptive statistics and z scores, the theoretical underpinnings of inferential statistics, z and t tests, power analysis, one/two-way and repeated-measures ANOVA, linear correlation and regression, as well as chi-square and other nonparametric tests. The second edition also includes a new chapter on basic probability theory. This important resource: Contains information regarding the use of statistical software packages; both Excel and SPSS Offers four strategically positioned and accumulating reviews, each containing a set of research-oriented diagnostic questions designed to help students determine which tests are applicable to which research scenarios Incorporates additional statistical information on follow-up analyses such as post-hoc tests and effect sizes Includes a series of sidebar discussions dispersed throughout the text that address, among other topics, the recent and growing controversy regarding the failed reproducibility of published findings in the social sciences Puts renewed emphasis on presentation of data and findings using the APA format Includes supplementary material consisting of a set of "kick-start" quizzes designed to get students quickly back up to speed at the start of an instructional period, and a complete set of ready-to-use PowerPoint slides for in-class use Written for students in areas such as psychology, sociology, criminology, political science, public health, and others, Statistical Applications for the Behavioral and Social Sciences, Second Edition continues to provide the information needed to understand the foundations of statistical analyses as relevant to the behavioral and social sciences.