Statistical Power Analysis for the Behavioral Sciences

Statistical Power Analysis for the Behavioral Sciences
Author: Jacob Cohen
Publsiher: Routledge
Total Pages: 567
Release: 2013-05-13
ISBN: 1134742770
Category: Psychology
Language: EN, FR, DE, ES & NL

Statistical Power Analysis for the Behavioral Sciences Book Excerpt:

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.

Applied Power Analysis for the Behavioral Sciences

Applied Power Analysis for the Behavioral Sciences
Author: Christopher L. Aberson
Publsiher: Routledge
Total Pages: 186
Release: 2019-01-24
ISBN: 1351695053
Category: Psychology
Language: EN, FR, DE, ES & NL

Applied Power Analysis for the Behavioral Sciences Book Excerpt:

Applied Power Analysis for the Behavioral Sciences is a practical "how-to" guide to conducting statistical power analyses for psychology and related fields. The book provides a guide to conducting analyses that is appropriate for researchers and students, including those with limited quantitative backgrounds. With practical use in mind, the text provides detailed coverage of topics such as how to estimate expected effect sizes and power analyses for complex designs. The topical coverage of the text, an applied approach, in-depth coverage of popular statistical procedures, and a focus on conducting analyses using R make the text a unique contribution to the power literature. To facilitate application and usability, the text includes ready-to-use R code developed for the text. An accompanying R package called pwr2ppl (available at https://github.com/chrisaberson/pwr2ppl) provides tools for conducting power analyses across each topic covered in the text.

Statistics Using SPSS

Statistics Using SPSS
Author: Sharon Lawner Weinberg,Sarah Knapp Abramowitz
Publsiher: Cambridge University Press
Total Pages: 781
Release: 2008-03-03
ISBN: 0521899222
Category: Mathematics
Language: EN, FR, DE, ES & NL

Statistics Using SPSS Book Excerpt:

Applied statistics text updated to be consistent with SPSS version 15, ideal for classroom use or self study.

Statistical Power Analysis for the Behavioral Sciences

Statistical Power Analysis for the Behavioral Sciences
Author: Jacob Cohen
Publsiher: Routledge
Total Pages: 567
Release: 2013-05-13
ISBN: 1134742703
Category: Psychology
Language: EN, FR, DE, ES & NL

Statistical Power Analysis for the Behavioral Sciences Book Excerpt:

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.

Statistical Power Analysis for the Social and Behavioral Sciences

Statistical Power Analysis for the Social and Behavioral Sciences
Author: Xiaofeng Steven Liu
Publsiher: Routledge
Total Pages: 386
Release: 2013-11-07
ISBN: 1136464190
Category: Psychology
Language: EN, FR, DE, ES & NL

Statistical Power Analysis for the Social and Behavioral Sciences Book Excerpt:

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.

Statistics for the Behavioural Sciences

Statistics for the Behavioural Sciences
Author: Riccardo Russo
Publsiher: Psychology Press
Total Pages: 257
Release: 2004-08-02
ISBN: 1135425558
Category: Psychology
Language: EN, FR, DE, ES & NL

Statistics for the Behavioural Sciences Book Excerpt:

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.

Designing Experiments for the Social Sciences

Designing Experiments for the Social Sciences
Author: Renita Coleman
Publsiher: SAGE Publications
Total Pages: 409
Release: 2018-08-27
ISBN: 1506377335
Category: Social Science
Language: EN, FR, DE, ES & NL

Designing Experiments for the Social Sciences Book Excerpt:

Designing Experiments for the Social Sciences: How to Plan, Create, and Execute Research Using Experiments is a practical, applied text for courses in experimental design. The text assumes that students have just a basic knowledge of the scientific method, and no statistics background is required. With its focus on how to effectively design experiments, rather than how to analyze them, the book concentrates on the stage where researchers are making decisions about procedural aspects of the experiment before interventions and treatments are given. Renita Coleman walks readers step-by-step on how to plan and execute experiments from the beginning by discussing choosing and collecting a sample, creating the stimuli and questionnaire, doing a manipulation check or pre-test, analyzing the data, and understanding and interpreting the results. Guidelines for deciding which elements are best used in the creation of a particular kind of experiment are also given. This title offers rich pedagogy, ethical considerations, and examples pertinent to all social science disciplines.

Applied Multiple Regression Correlation Analysis for the Behavioral Sciences

Applied Multiple Regression Correlation Analysis for the Behavioral Sciences
Author: Jacob Cohen,Patricia Cohen,Stephen G. West,Leona S. Aiken
Publsiher: Routledge
Total Pages: 536
Release: 2013-06-17
ISBN: 1134800940
Category: Psychology
Language: EN, FR, DE, ES & NL

Applied Multiple Regression Correlation Analysis for the Behavioral Sciences Book Excerpt:

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 . Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.

Handbook of Clinical Psychology Volume 1

Handbook of Clinical Psychology  Volume 1
Author: Michel Hersen,Alan M. Gross
Publsiher: John Wiley & Sons
Total Pages: 937
Release: 2008-01-09
ISBN: 0471946761
Category: Psychology
Language: EN, FR, DE, ES & NL

Handbook of Clinical Psychology Volume 1 Book Excerpt:

Handbook of Clinical Psychology, Volume 1: Adults provides comprehensive coverage of the fundamentals of clinical psychological practice for adults from assessment through treatment, including the innovations of the past decade in ethics, cross cultural psychology, psychoneuroimmunology, cognitive behavioral treatment, psychopharmacology, and geropsychology.

Longitudinal Data Analysis for the Behavioral Sciences Using R

Longitudinal Data Analysis for the Behavioral Sciences Using R
Author: Jeffrey D. Long
Publsiher: SAGE
Total Pages: 569
Release: 2012
ISBN: 1412982685
Category: Social Science
Language: EN, FR, DE, ES & NL

Longitudinal Data Analysis for the Behavioral Sciences Using R Book Excerpt:

This book is a practical guide for the analysis of longitudinal behavioural data. Longitudinal data consist of repeated measures collected on the same subjects over time.

Statistical Power Analysis

Statistical Power Analysis
Author: Kevin R. Murphy,Brett Myors,Allen Wolach
Publsiher: Routledge
Total Pages: 230
Release: 2014-05-16
ISBN: 1317680561
Category: Psychology
Language: EN, FR, DE, ES & NL

Statistical Power Analysis Book Excerpt:

Noted for its accessible approach, this text applies the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. Through the use of a few simple procedures and examples, the authors show readers with little expertise in statistical analysis how to obtain the values needed to carry out the power analysis for their research. Illustrations of how these analyses work and how they can be used to choose the appropriate criterion for defining statistically significant outcomes are sprinkled throughout. The book presents a simple and general model for statistical power analysis based on the F statistic and reviews how to determine: the sample size needed to achieve desired levels of power; the level of power needed in a study; the size of effect that can be reliably detected by a study; and sensible criteria for statistical significance. The book helps readers design studies, diagnose existing studies, and understand why hypothesis tests come out out the way they do. The fourth edition features: -New Boxed Material sections provide examples of power analysis in action and discuss unique issues that arise as a result of applying power analyses in different designs. -Many more worked examples help readers apply the concepts presented. -Expanded coverage of power analysis for multifactor analysis of variance (ANOVA) to show readers how to analyze up to four factors with repeated measures on any or all of the factors. -Re-designed and expanded web based One Stop F Calculator software and data sets that allow users to perform all of the book's analyses and conduct significance tests, power analyses, and assessments of N and alpha needed for traditional and minimum-effects tests. -Easy to apply formulas for approximating the number of subjects required to reach adequate levels of power in a wide range of studies. Intended as a supplement for graduate/advanced undergraduate courses in research methods or experimental design, intermediate, advanced, or multivariate statistics, statistics II, or psychometrics, taught in psychology, education, business, and other social and health sciences, researchers also appreciate the book‘s applied approach.

Handbook of Parametric and Nonparametric Statistical Procedures Fifth Edition

Handbook of Parametric and Nonparametric Statistical Procedures  Fifth Edition
Author: David J. Sheskin
Publsiher: CRC Press
Total Pages: 1388
Release: 2020-06-09
ISBN: 1000083276
Category: Mathematics
Language: EN, FR, DE, ES & NL

Handbook of Parametric and Nonparametric Statistical Procedures Fifth Edition Book Excerpt:

Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures.New in the Fifth Edition:Substantial updates and new material th

Statistical Strategies for Small Sample Research

Statistical Strategies for Small Sample Research
Author: Rick H. Hoyle
Publsiher: SAGE
Total Pages: 394
Release: 1999-03-30
ISBN: 9780761908869
Category: Reference
Language: EN, FR, DE, ES & NL

Statistical Strategies for Small Sample Research Book Excerpt:

This book provides encouragement and strategies for researchers who routinely address research questions using data from small samples. Chapters cover such topics as: using multiple imputation software with small sets; computing and combining effect sizes; bootstrap hypothesis testing; application of latent variable modeling; time-series data from small numbers of individuals; and sample size, reliability and tests of statistical mediation.

Statistical Power Analysis

Statistical Power Analysis
Author: Adjunct Professor in the School of Applied Psychology Brett Myors,Kevin R. Murphy,Brett Myors,Allen Wolach
Publsiher: Routledge
Total Pages: 149
Release: 2003-08
ISBN: 1135625336
Category: Psychology
Language: EN, FR, DE, ES & NL

Statistical Power Analysis Book Excerpt:

CD-ROM contains: "easy-to-use statistical power analysis program."

Statistical Power Analysis

Statistical Power Analysis
Author: Kevin R. Murphy,Brett Myors,Allen Wolach
Publsiher: Routledge
Total Pages: 226
Release: 2011-04-27
ISBN: 1136910417
Category: Education
Language: EN, FR, DE, ES & NL

Statistical Power Analysis Book Excerpt:

First Published in 2009. Routledge is an imprint of Taylor & Francis, an informa company.

Statistical Power Analysis with Missing Data

Statistical Power Analysis with Missing Data
Author: Adam Davey,Jyoti "Tina" Savla
Publsiher: Routledge
Total Pages: 370
Release: 2009-08-20
ISBN: 1135269319
Category: Education
Language: EN, FR, DE, ES & NL

Statistical Power Analysis with Missing Data Book Excerpt:

Statistical power analysis has revolutionized the ways in which we conduct and evaluate research. Similar developments in the statistical analysis of incomplete (missing) data are gaining more widespread applications. This volume brings statistical power and incomplete data together under a common framework, in a way that is readily accessible to those with only an introductory familiarity with structural equation modeling. It answers many practical questions such as: How missing data affects the statistical power in a study How much power is likely with different amounts and types of missing data How to increase the power of a design in the presence of missing data, and How to identify the most powerful design in the presence of missing data. Points of Reflection encourage readers to stop and test their understanding of the material. Try Me sections test one’s ability to apply the material. Troubleshooting Tips help to prevent commonly encountered problems. Exercises reinforce content and Additional Readings provide sources for delving more deeply into selected topics. Numerous examples demonstrate the book’s application to a variety of disciplines. Each issue is accompanied by its potential strengths and shortcomings and examples using a variety of software packages (SAS, SPSS, Stata, LISREL, AMOS, and MPlus). Syntax is provided using a single software program to promote continuity but in each case, parallel syntax using the other packages is presented in appendixes. Routines, data sets, syntax files, and links to student versions of software packages are found at www.psypress.com/davey. The worked examples in Part 2 also provide results from a wider set of estimated models. These tables, and accompanying syntax, can be used to estimate statistical power or required sample size for similar problems under a wide range of conditions. Class-tested at Temple, Virginia Tech, and Miami University of Ohio, this brief text is an ideal supplement for graduate courses in applied statistics, statistics II, intermediate or advanced statistics, experimental design, structural equation modeling, power analysis, and research methods taught in departments of psychology, human development, education, sociology, nursing, social work, gerontology and other social and health sciences. The book’s applied approach will also appeal to researchers in these areas. Sections covering Fundamentals, Applications, and Extensions are designed to take readers from first steps to mastery.

A Handbook for Data Analysis in the Behaviorial Sciences

A Handbook for Data Analysis in the Behaviorial Sciences
Author: Gideon Keren,Charles Lewis
Publsiher: Psychology Press
Total Pages: 584
Release: 2014-01-14
ISBN: 1317759982
Category: Psychology
Language: EN, FR, DE, ES & NL

A Handbook for Data Analysis in the Behaviorial Sciences Book Excerpt:

Statistical methodology is often conceived by social scientists in a technical manner; they use it for support rather than for illumination. This two-volume set attempts to provide some partial remedy to the problems that have led to this state of affairs. Both traditional issues, such as analysis of variance and the general linear model, as well as more novel methods like exploratory data analysis, are included. The editors aim to provide an updated survey on different aspects of empirical research and data analysis, facilitate the understanding of the internal logic underlying different methods, and provide novel and broader perspectives beyond what is usually covered in traditional curricula.

Statistical Methods for Psychology

Statistical Methods for Psychology
Author: David C. Howell
Publsiher: Cengage Learning
Total Pages: 792
Release: 2012-01-01
ISBN: 1133713270
Category: Psychology
Language: EN, FR, DE, ES & NL

Statistical Methods for Psychology Book Excerpt:

STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, particularly psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasizes conceptual understanding. This Eighth Edition continues to focus students on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment. New and expanded topics--reflecting the evolving realm of statistical methods--include effect size, meta-analysis, and treatment of missing data. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

The Oxford Handbook of School Psychology

The Oxford Handbook of School Psychology
Author: Melissa A. Bray,Thomas J. Kehle,Peter E. Nathan
Publsiher: OUP USA
Total Pages: 916
Release: 2011-02-18
ISBN: 0195369807
Category: Education
Language: EN, FR, DE, ES & NL

The Oxford Handbook of School Psychology Book Excerpt:

The Oxford Handbook of School Psychology focuses on significant issues, new developments, and scientific findings that influence current research and practice in the ever-growing field of school psychology. Additional sections discuss building a cumulative knowledge base to better facilitate students' academic, social, and personal competencies, including the promotion of positive mental health and subjective well-being.

ANOVA and ANCOVA

ANOVA and ANCOVA
Author: Andrew Rutherford
Publsiher: John Wiley & Sons
Total Pages: 358
Release: 2011-10-25
ISBN: 0470385553
Category: Mathematics
Language: EN, FR, DE, ES & NL

ANOVA and ANCOVA Book Excerpt:

Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one- and two-factor psychological experiments. With its organized and comprehensive presentation, the book successfully guides readers through conventional statistical concepts and how to interpret them in GLM terms, treating the main single- and multi-factor designs as they relate to ANOVA and ANCOVA. The book begins with a brief history of the separate development of ANOVA and regression analyses, and then goes on to demonstrate how both analyses are incorporated into the understanding of GLMs. This new edition now explains specific and multiple comparisons of experimental conditions before and after the Omnibus ANOVA, and describes the estimation of effect sizes and power analyses leading to the determination of appropriate sample sizes for experiments to be conducted. Topics that have been expanded upon and added include: Discussion of optimal experimental designs Different approaches to carrying out the simple effect analyses and pairwise comparisons with a focus on related and repeated measure analyses The issue of inflated Type 1 error due to multiple hypotheses testing Worked examples of Shaffer's R test, which accommodates logical relations amongst hypotheses ANOVA and ANCOVA: A GLM Approach, Second Edition is an excellent book for courses on linear modeling at the graduate level. It is also a suitable reference for researchers and practitioners in the fields of psychology and the biomedical and social sciences.