Multiple Regression With Discrete Dependent Variables

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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 : 54,5 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.

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 : 55,8 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.

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 : 42,6 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.

Logistic Regression

Scott Menard
Logistic Regression Book PDF

Author : Scott Menard
Publisher : SAGE
Page : 393 pages
File Size : 53,8 Mb
Release : 2010
Category : Mathematics
ISBN : 9781412974837

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Logistic Regression by Scott Menard Pdf

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.

Regression Models for Categorical and Limited Dependent Variables

J. Scott Long
Regression Models for Categorical and Limited Dependent Variables Book PDF

Author : J. Scott Long
Publisher : SAGE
Page : 334 pages
File Size : 52,6 Mb
Release : 1997-01-09
Category : Mathematics
ISBN : 0803973748

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Regression Models for Categorical and Limited Dependent Variables by J. Scott Long Pdf

Evaluates the most useful models for categorical and limited dependent variables (CLDVs), emphasizing the links among models and applying common methods of derivation, interpretation, and testing. The author also explains how models relate to linear regression models whenever possible. Annotation c.

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

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

Author : Jacob Cohen,Patricia Cohen,Stephen G. West,Leona S. Aiken
Publisher : Routledge
Page : 735 pages
File Size : 42,8 Mb
Release : 2013-06-17
Category : Psychology
ISBN : 9781134800940

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Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences by Jacob Cohen,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 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.

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 : 53,5 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.

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 : 54,6 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.

Applied Econometrics with R

Christian Kleiber,Achim Zeileis
Applied Econometrics with R Book PDF

Author : Christian Kleiber,Achim Zeileis
Publisher : Springer Science & Business Media
Page : 229 pages
File Size : 45,8 Mb
Release : 2008-12-10
Category : Business & Economics
ISBN : 9780387773186

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Applied Econometrics with R by Christian Kleiber,Achim Zeileis Pdf

R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.

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 : 40,9 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.

Regression Analysis of Count Data

Adrian Colin Cameron,Pravin K. Trivedi
Regression Analysis of Count Data Book PDF

Author : Adrian Colin Cameron,Pravin K. Trivedi
Publisher : Cambridge University Press
Page : 597 pages
File Size : 49,6 Mb
Release : 2013-05-27
Category : Business & Economics
ISBN : 9781107014169

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Regression Analysis of Count Data by Adrian Colin Cameron,Pravin K. Trivedi Pdf

This book provides the most comprehensive and up-to-date account of regression methods to explain the frequency of events.

Understanding Regression Assumptions

William Dale Berry
Understanding Regression Assumptions Book PDF

Author : William Dale Berry
Publisher : SAGE
Page : 108 pages
File Size : 40,8 Mb
Release : 1993-02-25
Category : Mathematics
ISBN : 080394263X

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Understanding Regression Assumptions by William Dale Berry Pdf

Through the use of careful explanation and examples, Berry demonstrates how to consider whether the assumptions of multiple regression are actually satisfied in a particular research project. Beginning with a brief review of the regression assumptions as they are typically presented in text books, he moves on to explore in detail the substantive meaning of each assumption; for example, lack of measurement error, absence of specification error, linearity, homoscedasticity, and lack of auto-correlation.

Statistical Models for the Social and Behavioral Sciences

William H. Crown
Statistical Models for the Social and Behavioral Sciences Book PDF

Author : William H. Crown
Publisher : Praeger
Page : 208 pages
File Size : 42,7 Mb
Release : 1998-02-18
Category : Business & Economics
ISBN : UOM:39015047051423

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Statistical Models for the Social and Behavioral Sciences by William H. Crown Pdf

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.

Biostatistics

Ronald N. Forthofer,Eun Sul Lee,Mike Hernandez
Biostatistics Book PDF

Author : Ronald N. Forthofer,Eun Sul Lee,Mike Hernandez
Publisher : Elsevier
Page : 528 pages
File Size : 52,8 Mb
Release : 2006-12-14
Category : Mathematics
ISBN : 9780080467726

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Biostatistics by Ronald N. Forthofer,Eun Sul Lee,Mike Hernandez Pdf

Biostatistics, Second Edition, is a user-friendly guide on biostatistics, which focuses on the proper use and interpretation of statistical methods. This textbook does not require extensive background in mathematics, making it user-friendly for all students in the public health sciences field. Instead of highlighting derivations of formulas, the authors provide rationales for the formulas, allowing students to grasp a better understanding of the link between biology and statistics. The material on life tables and survival analysis allows students to better understand the recent literature in the health field, particularly in the study of chronic disease treatment. This updated edition contains over 40% new material with modern real-life examples, exercises, and references, including new chapters on Logistic Regression, Analysis of Survey Data, and Study Designs. The book is recommended for students in the health sciences, public health professionals, and practitioners. Over 40% new material with modern real-life examples, exercises and references New chapters on Logistic Regression; Analysis of Survey Data; and Study Designs Introduces strategies for analyzing complex sample survey data Written in a conversational style more accessible to students with real data

Beyond Multiple Linear Regression

Paul Roback,Julie Legler
Beyond Multiple Linear Regression Book PDF

Author : Paul Roback,Julie Legler
Publisher : CRC Press
Page : 436 pages
File Size : 41,6 Mb
Release : 2021-01-14
Category : Mathematics
ISBN : 9781439885406

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Beyond Multiple Linear Regression by Paul Roback,Julie Legler Pdf

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R is designed for undergraduate students who have successfully completed a multiple linear regression course, helping them develop an expanded modeling toolkit that includes non-normal responses and correlated structure. Even though there is no mathematical prerequisite, the authors still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. The case studies and exercises feature real data and real research questions; thus, most of the data in the textbook comes from collaborative research conducted by the authors and their students, or from student projects. Every chapter features a variety of conceptual exercises, guided exercises, and open-ended exercises using real data. After working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling. A solutions manual for all exercises is available to qualified instructors at the book’s website at www.routledge.com, and data sets and Rmd files for all case studies and exercises are available at the authors’ GitHub repo (https://github.com/proback/BeyondMLR)