Encyclopedia of Research Design

Author: Neil J. Salkind

Publisher: SAGE

ISBN: 1412961270

Category: Philosophy

Page: 1776

View: 1889

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"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.
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Computer-Aided Multivariate Analysis, Fourth Edition

Author: Abdelmonem Afifi,Susanne May,Virginia A. Clark

Publisher: CRC Press

ISBN: 9781584883081

Category: Mathematics

Page: 512

View: 2639

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Computer-Aided Multivariate Analysis, Fourth Edition enables researchers and students with limited mathematical backgrounds to understand the concepts underlying multivariate statistical analysis, perform analysis using statistical packages, and understand the output. New topics include Loess and Poisson regression, nominal and ordinal logistic regression, interpretation of interactions in logistic and survival analysis, and imputation for missing values. This book includes new exercises and references, and updated options in the latest versions of the statistical packages. All data sets and codebooks are available for download. The authors explain the assumptions made in performing each analysis and test, how to determine if your data meets those assumptions, and what to do if they do not. What to Watch out for sections in each chapter warn of common difficulties. By reading this text, you will know what method to use with your data set, how to get the results, and how to interpret them and explain them to others. New in the Fourth Edition: Expanded explanation of checking for goodness of fit in logistic regression and survival analysis Kaplan-Meier estimates of survival curves, formal tests for comparing survival between groups, interactions and the use of time-dependent covariates in survival analysis Expanded discussion of how to handle missing values Latest features of the S-PLUS package in addition to SAS, SPSS, STATA, and STATISTICA for multivariate analysis Data sets for the problems are available at the CRC web site: http://www.crcpress.com/product/isbn/9781584883081 Commands and output for examples used in the text for each statistical package are available at the UCLA web site: http://www.ats.ucla.edu/stat/examples/cama4/
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Discovering Statistics Using R

Author: Andy Field,Jeremy Miles,Zoë Field

Publisher: SAGE

ISBN: 1446200450

Category: Social Science

Page: 957

View: 4950

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The R version of Andy Field's hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R. Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is enhanced by a cast of characters to help the reader on their way, hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.
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Basic Statistics in Multivariate Analysis

Author: Karen A. Randolph,Laura L. Myers

Publisher: Oxford University Press

ISBN: 0199982147

Category: Social Science

Page: 256

View: 4540

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The complexity of social problems necessitates that social work researchers understand and apply multivariate statistical methods in their investigations. In this pocket guide, the authors introduce readers to three of the more frequently used multivariate methods in social work research with an emphasis on basic statistics. The primary aim is to prepare entry-level doctoral students and early career social work researchers in the use of multivariate methods by providing an easy-to-understand presentation, building on the basic statistics that inform them. The pocket guide begins with a review of basic statistics, hypothesis testing with inferential statistics, and bivariate analytic methods. Subsequent sections describe bivariate and multiple linear regression analyses, one-way and two-way analysis of variance (ANOVA) and covariance (ANCOVA), and path analysis. In each chapter, the authors introduce the various basic statistical procedures by providing definitions, formulas, descriptions of the underlying logic and assumptions of each procedure, and examples of how they have been used in social work research literature, particularly with diverse populations. They also explain estimation procedures and how to interpret results. The multivariate chapters conclude with brief step-by-step instructions for conducting multiple regression analysis and one-way ANOVA in Statistical Package for the Social Sciences (SPSS), and path analysis in Amos, using data from the National Educational Longitudinal Study of 1988 (NELS: 88). As an additional supplement, the book offers a companion website that provides more detailed instructions, as well as data sets and worked examples.
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The Psychology Research Handbook

A Guide for Graduate Students and Research Assistants

Author: Frederick T. L. Leong,James T. Austin

Publisher: SAGE

ISBN: 0761930221

Category: Psychology

Page: 516

View: 9954

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A comprehensive, easy-to-understand guide to the entire research process, this book quickly and efficiently equips advanced students and research assistants to conduct a full-scale investigation. The book is organized around the idea of a 'research script' that is, it follows the standard mode of research planning and design, data collection and analysis, and results writing. The volume contains 35 chapters, some co-authored by advanced graduate students who give their fellow students a touch of the 'real world' adding to the clarity and practicality of many chapters.
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Multivariate Statistical Methods

A Primer, Fourth Edition

Author: Bryan F.J. Manly,Jorge A. Navarro Alberto

Publisher: CRC Press

ISBN: 1498728995

Category: Mathematics

Page: 269

View: 7980

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Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used. The original idea with this book still applies. This was to make it as short as possible and enable readers to begin using multivariate methods in an intelligent manner. With updated information on multivariate analyses, new references, and R code included, this book continues to provide a timely introduction to useful tools for multivariate statistical analysis.
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Middle Range Theory Development Using King's Conceptual System

Author: Christina Leibold Sieloff, Phd, RN, CNA, BC,Maureen A. Frey, RN, PhD

Publisher: Springer Publishing Company

ISBN: 9780826103307

Category: Medical

Page: 336

View: 380

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Continuing development and testing of propositions and formulations from nursing theory are critical for the continued evolution of nursing science. In this text, the editors and contributors highlight significant work in middle range theory development using King's Conceptual System and Theory of Goal Attainment. Explored in the three sections of this volume are: An overview of the foundations on which middle range theories are built from within King's Conceptual System, including a chapter by Dr. King Presentation of a variety of middle range theories applied to individuals, groups and families, and organizations--from children to the elderly Examination of post-middle range theory development and challenges for further nursing research and education Each chapter has a consistent format and includes a wide-range of perspectives and geographical locations, allowing readers to compare knowledge-building efforts across international lines.
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Handbook of Parametric and Nonparametric Statistical Procedures

Fourth Edition

Author: David Sheskin

Publisher: Chapman and Hall/CRC

ISBN: N.A

Category: Mathematics

Page: 1736

View: 8025

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The fourth edition of the popular Handbook of Parametric and Nonparametric Statistical Procedures covers 160 of the most commonly used parametric and nonparametric statistical procedures encountered in theory and in practice. Featuring 26 new statistical tests and examples as well as 55 new figures, this edition provides new material on regression diagnostics, including the Durbin-Watson test. The book provides a new section on multivariate analysis with additional information on matrix algebra, uses of Hotellings T2, and multivariate analysis of variance and covariance. Sections on medical statistics, clinical trials, survival analysis, and analysis of censored data are also presented in this edition.
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