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Multiple Regression In Behavioral Research
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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.
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.
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 862 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
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 666 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.
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.
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.
Book Synopsis Interaction Effects in Multiple Regression by : James Jaccard
Download or read book Interaction Effects in Multiple Regression written by James Jaccard and published by SAGE Publications. This book was released on 2003-03-05 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interaction Effects in Multiple Regression has provided students and researchers with a readable and practical introduction to conducting analyses of interaction effects in the context of multiple regression. The new addition will expand the coverage on the analysis of three way interactions in multiple regression analysis. Learn more about "The Little Green Book" - QASS Series! Click Here
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.
Book Synopsis Multiple Regression with Discrete Dependent Variables by : John G. Orme
Download or read book Multiple Regression with Discrete Dependent Variables written by John G. Orme and published by Oxford University Press. This book was released on 2009-03-25 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most social work researchers are familiar with linear regression techniques, which are fairly straightforward to conduct, interpret, and present. However, linear regression is not appropriate for discrete dependent variables, and social work research frequently employs these variables, focusing on outcomes such as placement in foster care or not; level of severity of elder abuse or depression symptoms; or number of reoffenses by juvenile delinquents in the year following adjudication. This book presents detailed discussions of regression models that are appropriate for a variety of discrete dependent variables. The major challenges of such analyses lie in the non-linear relationships between independent and dependent variables, and particularly in interpreting and presenting findings. Clear language guides the reader briefly through each step of the analysis, using SPSS and result presentation to enhance understanding of the important link function. The book begins with a brief review of linear regression; next, the authors cover basic binary logistic regression, which provides a foundation for the other techniques. In particular, comprehension of the link function is vital in order to later interpret these methods' results. Though the book assumes a basic understanding of linear regression, reviews and definitions throughout provide useful reminders of important terms and their meaning, and throughout the book the authors provide detailed examples based on their own data, which readers may work through by accessing the data and output on companion website. Social work and other social sciences faculty, students, and researchers who already have a basic understanding of linear regression but are not as familiar with the regression analysis of discrete dependent variables will find this straightforward pocket guide to be a terrific boon to their bookshelves. For additional resources, visit http://www.oup.com/us/pocketguides.
Book Synopsis Regression Analysis and Linear Models by : Richard B. Darlington
Download or read book Regression Analysis and Linear Models written by Richard B. Darlington and published by Guilford Publications. This book was released on 2016-08-22 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book's examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable’s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.
Book Synopsis Analyzing Multivariate Data by : Norman Cliff
Download or read book Analyzing Multivariate Data written by Norman Cliff and published by . This book was released on 1987 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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).
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 439 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
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. This book was released on 1986-04 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing beginners with a background to the frequently-used technique of linear regression, this text provides a heuristic explanation of the procedures and terms used in regression analysis and has been written at the most elementary level.
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.
Book Synopsis Multiple Regression in Behavior Research by : Elazar J. Pedhazur
Download or read book Multiple Regression in Behavior Research written by Elazar J. Pedhazur and published by . This book was released on 1976 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Power Analysis for the Behavioral Sciences by : Jacob Cohen
Download or read book Statistical Power Analysis for the Behavioral Sciences written by Jacob Cohen and published by Routledge. This book was released on 2013-05-13 with total page 625 pages. Available in PDF, EPUB and Kindle. 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.
