Multiple Regression In Behavior Research

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Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

Author : Patricia Cohen
Publisher : Psychology Press
ISBN 13 : 1135468249
Total Pages : 572 pages
Book Rating : 4.1/5 (354 download)

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Book Synopsis Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences by : Patricia Cohen

Download or read book Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences written by Patricia Cohen and published by Psychology Press. This book was released on 2014-04-04 with total page 572 pages. Available in PDF, EPUB and Kindle. 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 CD with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT. 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.

Multiple Regression in Behavioral Research

Author : Elazar J. Pedhazur
Publisher : Wadsworth Publishing Company
ISBN 13 :
Total Pages : 1080 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Multiple Regression in Behavioral Research by : Elazar J. Pedhazur

Download or read book Multiple Regression in Behavioral Research written by Elazar J. Pedhazur and published by Wadsworth Publishing Company. This book was released on 1997 with total page 1080 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text adopts a data-analysis approach to multiple regression. The author integrates design and analysis, and emphasises learning by example and critiquing published research.

Multivariate Analysis for the Behavioral Sciences, Second Edition

Author : Kimmo Vehkalahti
Publisher : CRC Press
ISBN 13 : 1351202251
Total Pages : 444 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis Multivariate Analysis for the Behavioral Sciences, Second Edition by : Kimmo Vehkalahti

Download or read book Multivariate Analysis for the Behavioral Sciences, Second Edition written by Kimmo Vehkalahti and published by CRC Press. This book was released on 2018-12-19 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The contentious issues of p-values and confidence intervals are also discussed in the introductory chapter. After describing graphical methods, the book covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven chapters deal with multivariate analysis, including principal components analysis, factor analysis, multidimensional scaling, correspondence analysis, and cluster analysis. Features: Presents an accessible introduction to multivariate analysis for behavioral scientists Contains a large number of real data sets, including cognitive behavioral therapy, crime rates, and drug usage Includes nearly 100 exercises for course use or self-study Supplemented by a GitHub repository with all datasets and R code for the examples and exercises Theoretical details are separated from the main body of the text Suitable for anyone working in the behavioral sciences with a basic grasp of statistics

Multiple Regression

Author : Leona S. Aiken
Publisher : SAGE
ISBN 13 : 9780761907121
Total Pages : 228 pages
Book Rating : 4.9/5 (71 download)

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Book Synopsis Multiple Regression by : Leona S. Aiken

Download or read book Multiple Regression written by Leona S. Aiken and published by SAGE. This book was released on 1991 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression models. Including the latest research in the area, such as Fuller's work on the corrected/constrained estimator, the book is appropriate for anyone who uses multiple regression to estimate models, or for those enrolled in courses on multivariate statistics.

Multiple Regression and Beyond

Author : Timothy Z. Keith
Publisher : Routledge
ISBN 13 : 1351667939
Total Pages : 640 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Multiple Regression and Beyond by : Timothy Z. Keith

Download or read book Multiple Regression and Beyond written by Timothy Z. Keith and published by Routledge. This book was released on 2019-01-14 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companion Website materials: https://tzkeith.com/ Multiple Regression and Beyond offers a conceptually-oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way. In addition to illuminating content necessary for coursework, the accessibility of this approach means students are more likely to be able to conduct research using MR or SEM--and more likely to use the methods wisely. This book: • Covers both MR and SEM, while explaining their relevance to one another • Includes path analysis, confirmatory factor analysis, and latent growth modeling • Makes extensive use of real-world research examples in the chapters and in the end-of-chapter exercises • Extensive use of figures and tables providing examples and illustrating key concepts and techniques New to this edition: • New chapter on mediation, moderation, and common cause • New chapter on the analysis of interactions with latent variables and multilevel SEM • Expanded coverage of advanced SEM techniques in chapters 18 through 22 • International case studies and examples • Updated instructor and student online resources

Understanding Regression Analysis

Author : Larry D. Schroeder
Publisher : SAGE Publications
ISBN 13 : 1506361617
Total Pages : 122 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Understanding Regression Analysis by : Larry D. Schroeder

Download or read book Understanding Regression Analysis written by Larry D. Schroeder and published by SAGE Publications. This book was released on 2016-11-08 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding Regression Analysis: An Introductory Guide by Larry D. Schroeder, David L. Sjoquist, and Paula E. Stephan presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style. It illustrates how regression coefficients are estimated, interpreted, and used in a variety of settings within the social sciences, business, law, and public policy. Packed with applied examples and using few equations, the book walks readers through elementary material using a verbal, intuitive interpretation of regression coefficients, associated statistics, and hypothesis tests. The Second Edition features updated examples and new references to modern software output.

Quantitative Research in Communication

Author : Mike Allen
Publisher : SAGE Publications
ISBN 13 : 1452212937
Total Pages : 257 pages
Book Rating : 4.4/5 (522 download)

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Book Synopsis Quantitative Research in Communication by : Mike Allen

Download or read book Quantitative Research in Communication written by Mike Allen and published by SAGE Publications. This book was released on 2008-09-12 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for communication students, Quantitative Research in Communication provides practical, user-friendly coverage of how to use statistics, how to interpret SPSS printouts, how to write results, and how to assess whether the assumptions of various procedures have been met. Providing a strong conceptual orientation to techniques and procedures that range from the "moderately basic" to "highly advanced," the book provides practical tips and suggestions for quantitative communication scholars of all experience levels. In addition to important foundational information, each chapter that covers a specific statistical procedure includes suggestions for interpreting, explaining, and presenting results; realistic examples of how the procedure can be used to answer substantive questions in communication; sample SPSS printouts; and a detailed summary of a published communication journal article using that procedure. Features · Engaged Research application boxes stimulate thought and discussion, illustrating how particular research methods can be used to answer very practical, civic-minded questions. · Realistic examples at the beginning of each chapter show how the chapter′s procedure could be used to answer a substantive research question. · Examples and application activities geared toward the emerging trend of service learning encourage students to do projects oriented toward their community or campus. · Summaries of journal articles demonstrate how to write statistical results in APA style and illustrate how real researchers use statistical procedures in a wide variety of contexts, such as tsunami warnings, date requests, and anti-drug public service announcements. · How to Decipher Figures show students how to "read" the statistical shorthand presented in the quantitative results of an article and also, by implication, show them how to write up results . Quantitative Research in Communication is ideal for courses in Quantitative Methods in Communication, Statistical Methods in Communication, Advanced Research Methods (undergraduate), and Introduction to Research Methods (Graduate) in departments of communication, educational psychology, psychology, and mass communication.

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

Author : Jacob Cohen
Publisher : Routledge
ISBN 13 : 1134800940
Total Pages : 735 pages
Book Rating : 4.1/5 (348 download)

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Book Synopsis Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences by : Jacob Cohen

Download or read book Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences written by Jacob Cohen and published by Routledge. This book was released on 2013-06-17 with total page 735 pages. Available in PDF, EPUB and Kindle. 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.

Regression Analysis for Categorical Moderators

Author : Herman Aguinis
Publisher : Guilford Press
ISBN 13 : 9781572309692
Total Pages : 230 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis Regression Analysis for Categorical Moderators by : Herman Aguinis

Download or read book Regression Analysis for Categorical Moderators written by Herman Aguinis and published by Guilford Press. This book was released on 2004-01-01 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Does the stability of personality vary by gender or ethnicity? Does a particular therapy work better to treat clients with one type of personality disorder than those with another? Providing a solution to thorny problems such as these, Aguinis shows readers how to better assess whether the relationship between two variables is moderated by group membership through the use of a statistical technique, moderated multiple regression (MMR). Clearly written, the book requires only basic knowledge of inferential statistics. It helps students, researchers, and practitioners determine whether a particular intervention is likely to yield dissimilar outcomes for members of various groups. Associated computer programs and data sets are available at the author's website (http: //mypage.iu.edu/ haguinis/mmr).

Data Analysis for Research Designs

Author : Geoffrey Keppel
Publisher : Macmillan
ISBN 13 : 9780716719915
Total Pages : 628 pages
Book Rating : 4.7/5 (199 download)

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Book Synopsis Data Analysis for Research Designs by : Geoffrey Keppel

Download or read book Data Analysis for Research Designs written by Geoffrey Keppel and published by Macmillan. This book was released on 1989-03-15 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analysis for Research Designs covers the analytical techniques for the analysis of variance (ANOVA) and multiple regression/correlation (MRC), emphasizing single-degree-of-freedom comparisons so that students focus on clear research planning. This text is designed for advanced undergraduates and graduate students of the behavioral and social sciences who have an understanding of algebra and statistics.

Linear Regression Models

Author : John P. Hoffmann
Publisher : CRC Press
ISBN 13 : 1000437965
Total Pages : 436 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Linear Regression Models by : John P. Hoffmann

Download or read book Linear Regression Models written by John P. Hoffmann and published by CRC Press. This book was released on 2021-09-12 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research in social and behavioral sciences has benefited from linear regression models (LRMs) for decades to identify and understand the associations among a set of explanatory variables and an outcome variable. Linear Regression Models: Applications in R provides you with a comprehensive treatment of these models and indispensable guidance about how to estimate them using the R software environment. After furnishing some background material, the author explains how to estimate simple and multiple LRMs in R, including how to interpret their coefficients and understand their assumptions. Several chapters thoroughly describe these assumptions and explain how to determine whether they are satisfied and how to modify the regression model if they are not. The book also includes chapters on specifying the correct model, adjusting for measurement error, understanding the effects of influential observations, and using the model with multilevel data. The concluding chapter presents an alternative model—logistic regression—designed for binary or two-category outcome variables. The book includes appendices that discuss data management and missing data and provides simulations in R to test model assumptions. Features Furnishes a thorough introduction and detailed information about the linear regression model, including how to understand and interpret its results, test assumptions, and adapt the model when assumptions are not satisfied. Uses numerous graphs in R to illustrate the model’s results, assumptions, and other features. Does not assume a background in calculus or linear algebra, rather, an introductory statistics course and familiarity with elementary algebra are sufficient. Provides many examples using real-world datasets relevant to various academic disciplines. Fully integrates the R software environment in its numerous examples. The book is aimed primarily at advanced undergraduate and graduate students in social, behavioral, health sciences, and related disciplines, taking a first course in linear regression. It could also be used for self-study and would make an excellent reference for any researcher in these fields. The R code and detailed examples provided throughout the book equip the reader with an excellent set of tools for conducting research on numerous social and behavioral phenomena. John P. Hoffmann is a professor of sociology at Brigham Young University where he teaches research methods and applied statistics courses and conducts research on substance use and criminal behavior.

Reference Manual on Scientific Evidence

Author :
Publisher :
ISBN 13 :
Total Pages : 652 pages
Book Rating : 4.:/5 (327 download)

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Book Synopsis Reference Manual on Scientific Evidence by :

Download or read book Reference Manual on Scientific Evidence written by and published by . This book was released on 1994 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Logistic Regression Models for Ordinal Response Variables

Author : Ann A. O'Connell
Publisher : SAGE
ISBN 13 : 9780761929895
Total Pages : 124 pages
Book Rating : 4.9/5 (298 download)

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Book Synopsis Logistic Regression Models for Ordinal Response Variables by : Ann A. O'Connell

Download or read book Logistic Regression Models for Ordinal Response Variables written by Ann A. O'Connell and published by SAGE. This book was released on 2006 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ordinal measures provide a simple and convenient way to distinguish among possible outcomes. The book provides practical guidance on using ordinal outcome models.

Logistic Regression

Author : Scott W. Menard
Publisher : SAGE
ISBN 13 : 1412974836
Total Pages : 393 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Logistic Regression by : Scott W. Menard

Download or read book Logistic Regression written by Scott W. Menard and published by SAGE. This book was released on 2010 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Logistic Regression is designed for readers who have a background in statistics at least up to multiple linear regression, who want to analyze dichotomous, nominal, and ordinal dependent variables cross-sectionally and longitudinally.

Handbook of Quantitative Methods for Educational Research

Author : Timothy Teo
Publisher : Springer Science & Business Media
ISBN 13 : 9462094047
Total Pages : 404 pages
Book Rating : 4.4/5 (62 download)

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Book Synopsis Handbook of Quantitative Methods for Educational Research by : Timothy Teo

Download or read book Handbook of Quantitative Methods for Educational Research written by Timothy Teo and published by Springer Science & Business Media. This book was released on 2014-02-07 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of their research activities, researchers in all areas of education develop measuring instruments, design and conduct experiments and surveys, and analyze data resulting from these activities. Educational research has a strong tradition of employing state-of-the-art statistical and psychometric (psychological measurement) techniques. Commonly referred to as quantitative methods, these techniques cover a range of statistical tests and tools. Quantitative research is essentially about collecting numerical data to explain a particular phenomenon of interest. Over the years, many methods and models have been developed to address the increasingly complex issues that educational researchers seek to address. This handbook serves to act as a reference for educational researchers and practitioners who desire to acquire knowledge and skills in quantitative methods for data analysis or to obtain deeper insights from published works. Written by experienced researchers and educators, each chapter in this handbook covers a methodological topic with attention paid to the theory, procedures, and the challenges on the use of that particular methodology. It is hoped that readers will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area.

Multiple Regression in Behavioral Research

Author : Fred Nichols Kerlinger
Publisher : New York : Holt, Rinehart and Winston
ISBN 13 :
Total Pages : 556 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Multiple Regression in Behavioral Research by : Fred Nichols Kerlinger

Download or read book Multiple Regression in Behavioral Research written by Fred Nichols Kerlinger and published by New York : Holt, Rinehart and Winston. This book was released on 1973 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of multiple regression analysis; The regression analysis of experimental and nonexperimental data; Multiple regression and multivariate analysis; Research applications; Scientific research and multiple regression analysis.

Statistical Models for the Social and Behavioral Sciences

Author : William H. Crown
Publisher : Praeger
ISBN 13 :
Total Pages : 208 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Statistical Models for the Social and Behavioral Sciences by : William H. Crown

Download or read book Statistical Models for the Social and Behavioral Sciences written by William H. Crown and published by Praeger. This book was released on 1998-02-18 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple regression analysis has been widely used by researchers to analyze complex social problems since the 1950s. A specialization in economics, known as econometrics, developed out of a recognition that multiple regression is based upon a large number of assumptions—many of which are commonly violated in specific applications. Econometricians developed tests for violations of the regression model assumptions, as well as a variety of corrective measures for estimating regression models in the presence of many of the violations. Unfortunately, the mathematical sophistication required to understand the econometrics literature started out high and has continued to rise over the years. As a consequence, an understanding of the assumptions of the regression model, tests for violations, and corrective estimation approaches have failed to permeate widely many other policy-related disciplines such as political science, social work, public administration, and sociology. One of the key objectives of this book is to translate the results from the econometrics literature into language that policy analysts from other disciplines can understand easily. A second objective is to present a discussion of so-called limited-dependent variable models. One of the assumptions of the regression model is that the dependent variable is measured on an interval scale. But often the dependent variable of interest is discrete or categorical. Whether someone is in poverty or, whether they are working full-time, part-time, or out of the labor force, marital status—all are examples of categorical variables that might be of policy interest. Moreover, the growing availability of large-scale public use data sets containing information on individuals and families has heightened the relevance of categorical variables in policy analysis. The mathematical preparation required to understand procedures for estimating categorical models is, however, even more daunting than that for fully understanding and using the regression model. As with the theoretical development of the regression model, most presentations of categorical models, such as Logit and Probit, are to be found in econometric literature. Moreover, this literature offers little in the way of practical advice on how to estimate and interpret model results. This book is the first to present a detailed and accessible discussion of multiple regression and limited-dependent variable models in the context of policy analysis. As such it will be an invaluable resource for most scholars, researchers, and students in the social and behavioral sciences.