Analysis Of Multiple Dependent Variables

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Analysis of Multiple Dependent Variables

Patrick Dattalo
Analysis of Multiple Dependent Variables Book PDF

Author : Patrick Dattalo
Publisher : Oxford University Press
Page : 191 pages
File Size : 49,6 Mb
Release : 2013-03-14
Category : Mathematics
ISBN : 9780199773596

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Analysis of Multiple Dependent Variables by Patrick Dattalo Pdf

Multivariate procedures allow social workers and other human services researchers to analyze complex, multidimensional social problems and interventions in ways that minimize oversimplification. This pocket guide provides a concise, practical, and economical introduction to four procedures for the analysis of multiple dependent variables: multivariate analysis of variance (MANOVA), multivariate analysis of covariance (MANCOVA), multivariate multiple regression (MMR), and structural equation modeling (SEM). Each procedure will be presented in a way that allows readers to compare and contrast them in terms of (1) appropriate research context; (2) required statistical assumptions, including levels of measurement of variables to be modeled; (3) analytical steps; (4) sample size; and (5) strengths and weaknesses. This invaluable guide facilitates course extensibility in scope and depth by allowing instructors to supplement course content with rigorous statistical procedures. Detailed annotated examples using Stata, SPSS (PASW), SAS, and Amos, together with additional resources, discussion of key terms, and a companion website, make this an unintimidating guide for producers and consumers of social work research knowledge.

Multiple Regression with Discrete Dependent Variables

John G. Orme,Terri Combs-Orme
Multiple Regression with Discrete Dependent Variables Book PDF

Author : John G. Orme,Terri Combs-Orme
Publisher : Oxford University Press
Page : 224 pages
File Size : 48,7 Mb
Release : 2009-03-25
Category : Social Science
ISBN : 0199716293

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Multiple Regression with Discrete Dependent Variables by John G. Orme,Terri Combs-Orme Pdf

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.

Multiple Regression and Beyond

Timothy Z. Keith
Multiple Regression and Beyond Book PDF

Author : Timothy Z. Keith
Publisher : Routledge
Page : 862 pages
File Size : 43,7 Mb
Release : 2019-01-14
Category : Education
ISBN : 9781351667920

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Multiple Regression and Beyond by Timothy Z. Keith Pdf

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

Multivariate Data Analysis

Joseph Hair,Rolph Anderson,Bill Black,Barry Babin
Multivariate Data Analysis Book PDF

Author : Joseph Hair,Rolph Anderson,Bill Black,Barry Babin
Publisher : Pearson Higher Ed
Page : 816 pages
File Size : 47,7 Mb
Release : 2016-08-18
Category : Business & Economics
ISBN : 9780133792683

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Multivariate Data Analysis by Joseph Hair,Rolph Anderson,Bill Black,Barry Babin Pdf

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For graduate and upper-level undergraduate marketing research courses. For over 30 years, Multivariate Data Analysis has provided readers with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to readers how to understand and make use of the results of specific statistical techniques. In this Seventh Edition, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.

Multiple Regression

Aki Roberts,John M. Roberts, Jr.
Multiple Regression Book PDF

Author : Aki Roberts,John M. Roberts, Jr.
Publisher : SAGE Publications
Page : 190 pages
File Size : 54,7 Mb
Release : 2020-12-16
Category : Social Science
ISBN : 9781544358826

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Multiple Regression by Aki Roberts,John M. Roberts, Jr. Pdf

Multiple Regression: A Practical Introduction is a text for an advanced undergraduate or beginning graduate course in statistics for social science and related fields. Also, students preparing for more advanced courses can self-study the text to refresh and solidify their statistical background. Drawing on decades of teaching this material, the authors present the ideas in an approachable and nontechnical manner, with no expectation that readers have more than a standard introductory statistics course as background. Multiple regression asks how a dependent variable is related to, or predicted by, a set of independent variables. The book includes many interesting example analyses and interpretations, along with exercises. Each dataset used for the examples and exercises is small enough for readers to easily grasp the entire dataset and its analysis with respect to the specific statistical techniques covered. A website for the book includes SPSS, Stata, SAS, and R code and commands for each type of analysis or recoding of variables in the book. Solutions to two of the end-of-chapter exercise types are also available for students to practice. The instructor side of the site contains editable PowerPoint slides, other solutions, and a test bank.

Data Analysis with SPSS

Stephen A. Sweet,Karen Grace-Martin
Data Analysis with SPSS Book PDF

Author : Stephen A. Sweet,Karen Grace-Martin
Publisher : Allyn & Bacon
Page : 0 pages
File Size : 53,6 Mb
Release : 2008
Category : SPSS for Windows
ISBN : 0205483879

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Data Analysis with SPSS by Stephen A. Sweet,Karen Grace-Martin Pdf

Accompanying CD-ROM contains data disk to accompany the text.

An R Companion to Applied Regression

John Fox,Sanford Weisberg
An R Companion to Applied Regression Book PDF

Author : John Fox,Sanford Weisberg
Publisher : SAGE Publications
Page : 505 pages
File Size : 41,8 Mb
Release : 2018-09-27
Category : Social Science
ISBN : 9781544336459

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An R Companion to Applied Regression by John Fox,Sanford Weisberg Pdf

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, and substantial web-based support materials. The Third Edition has been reorganized and includes a new chapter on mixed-effects models, new and updated data sets, and a de-emphasis on statistical programming, while retaining a general introduction to basic R programming. The authors have substantially updated both the car and effects packages for R for this edition, introducing additional capabilities and making the software more consistent and easier to use. They also advocate an everyday data-analysis workflow that encourages reproducible research. To this end, they provide coverage of RStudio, an interactive development environment for R that allows readers to organize and document their work in a simple and intuitive fashion, and then easily share their results with others. Also included is coverage of R Markdown, showing how to create documents that mix R commands with explanatory text. "An R Companion to Applied Regression continues to provide the most comprehensive and user-friendly guide to estimating, interpreting, and presenting results from regression models in R." –Christopher Hare, University of California, Davis

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

Patricia Cohen,Stephen G. West,Leona S. Aiken
Applied Multiple Regression Correlation Analysis for the Behavioral Sciences Book PDF

Author : Patricia Cohen,Stephen G. West,Leona S. Aiken
Publisher : Psychology Press
Page : 572 pages
File Size : 51,6 Mb
Release : 2014-04-04
Category : Psychology
ISBN : 9781135468248

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Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences by Patricia Cohen,Stephen G. West,Leona S. Aiken Pdf

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.

Basic and Advanced Statistical Tests

Amanda Ross,Victor L. Willson
Basic and Advanced Statistical Tests Book PDF

Author : Amanda Ross,Victor L. Willson
Publisher : Springer
Page : 10 pages
File Size : 47,5 Mb
Release : 2018-01-03
Category : Education
ISBN : 9789463510868

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Basic and Advanced Statistical Tests by Amanda Ross,Victor L. Willson Pdf

This book focuses on extraction of pertinent information from statistical test outputs, in order to write result sections and/or accompanying tables and/or figures. The book is divided into two encompassing sections: Part I – Basic Statistical Tests and Part II – Advanced Statistical Tests. Part I includes 9 basic statistical tests, and Part II includes 7 advanced statistical tests. Each chapter provides the name of a basic or advanced statistical test, a brief description, examples of when to use each, a sample scenario, and a sample results section write-up. Depending on the test and need, most chapters provide a table and/or figure to accompany the write-up. The purpose of the book is to provide researchers with a reference manual for writing results sections and tables/figures in scholarly works. The authors fill a gap in research support manuals by focusing on sample write-ups and tables/figures for given statistical tests. The book assists researchers by eliminating the need to comb through numerous publications to determine necessary information to report, as well as correct APA format to use, at the close of analyses.

Advanced Statistics for Testing Assumed Causal Relationships

Hooshang Nayebi
Advanced Statistics for Testing Assumed Causal Relationships Book PDF

Author : Hooshang Nayebi
Publisher : Springer Nature
Page : 125 pages
File Size : 48,6 Mb
Release : 2020-08-15
Category : Mathematics
ISBN : 9783030547547

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Advanced Statistics for Testing Assumed Causal Relationships by Hooshang Nayebi Pdf

This book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using simple examples without requesting any mathematical knowledge. It shows multiple regression analysis accurately reconstructs the causal relationships between phenomena. So, it can be used to test the hypotheses about causal relationships between variables. It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable. It is an advanced statistical text for the graduate students in social and behavior sciences. It also serves as a reference for professionals and researchers.

A Primer of Multivariate Statistics

Richard J. Harris
A Primer of Multivariate Statistics Book PDF

Author : Richard J. Harris
Publisher : Psychology Press
Page : 635 pages
File Size : 49,5 Mb
Release : 2001-05-01
Category : Psychology
ISBN : 9781135555368

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A Primer of Multivariate Statistics by Richard J. Harris Pdf

Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computer-modeling and latent-variable techniques, such as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis.

Applied Mixed Model Analysis

Jos W. R. Twisk
Applied Mixed Model Analysis Book PDF

Author : Jos W. R. Twisk
Publisher : Cambridge University Press
Page : 249 pages
File Size : 41,8 Mb
Release : 2019-04-18
Category : Mathematics
ISBN : 9781108480574

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Applied Mixed Model Analysis by Jos W. R. Twisk Pdf

Emphasizing interpretation of results, this hands-on guide explains why, when, and how to use mixed models with your data.

Applied Multilevel Analysis

Jos W. R. Twisk
Applied Multilevel Analysis Book PDF

Author : Jos W. R. Twisk
Publisher : Cambridge University Press
Page : 196 pages
File Size : 46,8 Mb
Release : 2006-03-28
Category : Medical
ISBN : 0521614988

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Applied Multilevel Analysis by Jos W. R. Twisk Pdf

This is a practical introduction to multilevel analysis suitable for all those doing research. Most books on multilevel analysis are written by statisticians; those books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the practical application of multilevel analysis in research. Many worked examples, with computer output, are given to illustrate and explain this subject. Datasets of the examples are available on the internet, so the reader can reanalyze the data. This approach will help bridge the conceptual and communication gap that exists between researchers and statisticians.

Regression Models for Categorical Dependent Variables Using Stata, Second Edition

J. Scott Long,Jeremy Freese
Regression Models for Categorical Dependent Variables Using Stata Second Edition Book PDF

Author : J. Scott Long,Jeremy Freese
Publisher : Stata Press
Page : 559 pages
File Size : 44,8 Mb
Release : 2006
Category : Computers
ISBN : 9781597180115

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Regression Models for Categorical Dependent Variables Using Stata, Second Edition by J. Scott Long,Jeremy Freese Pdf

The goal of the book is to make easier to carry out the computations necessary for the full interpretation of regression nonlinear models for categorical outcomes usign Stata.

Theory-Based Data Analysis for the Social Sciences

Carol S. Aneshensel
Theory Based Data Analysis for the Social Sciences Book PDF

Author : Carol S. Aneshensel
Publisher : SAGE
Page : 473 pages
File Size : 49,6 Mb
Release : 2013
Category : Social Science
ISBN : 9781412994354

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Theory-Based Data Analysis for the Social Sciences by Carol S. Aneshensel Pdf

This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of "third variables" to the analysis of a focal relationship between one independent and one dependent variable to ascertain whether an inference of causality is justified. Two complementary strategies are used: an exclusionary strategy that rules out alternative explanations such as spuriousness and redundancy with competing theories, and an inclusive strategy that connects the focal relationship to a network of other relationships, including the hypothesized causal mechanisms linking the focal independent variable to the focal dependent variable. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research that serve as prototypes for aligning theory and the data analytic plan used to test it; these studies are drawn from a wide range of substantive topics in the social sciences, such as emotion management in the workplace, subjective age identification during the transition to adulthood, and the relationship between religious and paranormal beliefs. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions.