Interaction Effects In Multiple Regression

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Interaction Effects In Multiple Regression

Author : James Jaccard
ISBN : 0761927425
Genre : Mathematics
File Size : 89.4 MB
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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
Category: Mathematics

Multiple Regression

Author : Leona S. Aiken
ISBN : 0761907122
Genre : Mathematics
File Size : 61.6 MB
Format : PDF, Kindle
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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.
Category: Mathematics

Lisrel Approaches To Interaction Effects In Multiple Regression

Author : James Jaccard
ISBN : 0803971796
Genre : Social Science
File Size : 49.12 MB
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With detailed examples, this book demonstrates the use of the computer program LISREL and how it can be applied to the analysis of interactions in regression frameworks. The authors consider a wide range of applications including: qualitative moderator variables; longitudinal designs; and product term analysis. They describe different types of measurement error and then present a discussion of latent variable representations of measurement error which serves as the foundation for the analyses described in later chapters. Finally they offer a brief introduction to LISREL and show how it can be used to execute the analyses. Readers can use this book without any prior training in LISREL and will find it an excellent introduction to analytic methods that deal with the problem of measurement error in the analysis of interactions.
Category: Social Science

Interaction Effects In Logistic Regression

Author : James Jaccard
ISBN : 0761922075
Genre : Mathematics
File Size : 58.56 MB
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This work introduces general strategies for testing interactions in logistic regression as well as providing the tools to interpret and understand the meaning of coefficients in equations with product terms.
Category: Mathematics

Interaction Effects In Linear And Generalized Linear Models

Author : Robert L. Kaufman
ISBN : 9781506365398
Genre : Social Science
File Size : 43.40 MB
Format : PDF
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Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of interpretive tools and applies them to a variety of examples, introduces the ICALC Toolkit for Stata (downloadable from the Robert L. Kaufman’s website), and offers a series of start-to-finish application examples to show students how to interpret interaction effects for a variety of different techniques of analysis, beginning with OLS regression. The data sets and the Stata code to reproduce the results of the application examples are available online.
Category: Social Science

Learn About Multiple Regression With Interactions Between Categorical Variables In Survey Data In R With Data From The British Crime Survey 2007 2008

Author : Abigail-Kate Reid
ISBN : 1526496089
Genre : Police
File Size : 29.35 MB
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This SAGE Research Methods Dataset example introduces readers to interaction effects in multiple regression. Multiple regression techniques allow researchers to evaluate whether a continuous dependent variable is a linear function of two or more independent variables. This example demonstrates how to compute and interpret product-term interactions between two categorical variables in Ordinary Least Squares (OLS) regression using a subset of data from the 2007--2008 British Crime Survey. Specifically, we test whether confidence in the police is related to the relative deprivation of one's neighbourhood and whether or not respondents have been a victim of crime. In this example, readers are introduced to the basic theory and assumptions underlying this technique, the type of question this technique can be used to answer, and how to produce and report results. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for R.
Category: Police

Multilevel Analysis

Author : J. J. Hox
ISBN : 9780805832181
Genre : Mathematics
File Size : 80.56 MB
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This volume provides an introduction to multilevel analysis for applied researchers. The book presents two types of multilevel models: the multilevel regression model; and a model for multilevel covariance structures.
Category: Mathematics

Regression Analysis And Linear Models

Author : Richard B. Darlington
ISBN : 9781462521135
Genre : Social Science
File Size : 66.8 MB
Format : PDF
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Ephasizing 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 ( 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.
Category: Social Science

Understanding Regression Analysis

Author : Michael Patrick Allen
ISBN : 9780585256573
Genre : Social Science
File Size : 52.6 MB
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By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this introduction to the widely used statistical technique is accessible to readers who may have only a rudimentary knowledge of mathematics. Chapters discuss: -descriptive statistics using vector notation and the components of a simple regression model; -the logic of sampling distributions and simple hypothesis testing; -the basic operations of matrix algebra and the properties of the multiple regression model; -testing compound hypotheses and the application of the regression model to the analyses of variance and covariance, and -structural equation models and influence statistics.
Category: Social Science

The Association Graph And The Multigraph For Loglinear Models

Author : Harry J. Khamis
ISBN : 9781452238951
Genre : Mathematics
File Size : 56.17 MB
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The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.
Category: Mathematics

Interaction Effects In Factorial Analysis Of Variance

Author : James Jaccard
ISBN : 0761912215
Genre : Mathematics
File Size : 44.2 MB
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Although factorial analysis is widely used in the social sciences, there is some confusion as to how to use the technique's most powerful feature - the evaluation of interaction effects. Written to remedy this situation, this book explores the issues underlying the effective analysis of interaction in factorial designs. It includes discussion of: different ways of characterizing interactions in ANOVA; interaction effects using traditional hypothesis testing approaches; and alternative analytic frameworks that focus on effect size methodology and interval estimation.
Category: Mathematics

Communication Research Statistics

Author : John C. Reinard
ISBN : 0761929878
Genre : Language Arts & Disciplines
File Size : 57.31 MB
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Written in an accessible style using simple and direct language this guide takes students through the statistics actually used in most empirical research in communication and the social sciences. The text also includes a full set of data analysis instructions based on SPSS 12 and Excel.
Category: Language Arts & Disciplines

Regression Modeling Strategies

Author : Frank E. Harrell
ISBN : 9781475734621
Genre : Mathematics
File Size : 49.6 MB
Format : PDF
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Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".
Category: Mathematics

An Spss Companion To Political Analysis 4th Edition

Author : Philip H Pollock III
ISBN : 9781608716876
Genre : Political Science
File Size : 30.67 MB
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In this much-anticipated revision of the popular SPSS workbook, students dive headfirst into actual political data and work with a software tool that prepares them for future political-science research. Students learn by doing with guided examples, more than 120 screenshots, and step-bystep instructions. Compatible with all releases of SPSS (12.0 through 19.0, as well as the student version), the new Fourth Edition includes brand-new or completely revised exercises. Two new data sets (2008 NES and 2008 GSS) and two revised data sets (on the 50 states and on 191 countries of the world) feature an expanded number of variables to provide greater latitude for performing original analysis.
Category: Political Science

Data Analysis

Author : Michael Lewis-Beck
ISBN : 0803957726
Genre : Medical
File Size : 66.78 MB
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This accessible introduction to data analysis focuses on the interpretation of statistical results, in particular those which come from nonexperimental social research. It will provide social science researchers with the tools necessary to select and evaluate statistical tests appropriate for their research question. Using a consistent data-set throughout the book to illustrate the various analytic techniques, Michael Lewis-Beck covers topics such as univariate statistics, measures of association, the statistical significance of the relationship between two variables, simple regression in which the dependent variable is influenced by a single independent variable, and multiple regression.
Category: Medical

Internet Data Collection

Author : Samuel J. Best
ISBN : 0761927107
Genre : Computers
File Size : 32.37 MB
Format : PDF
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Designed for researchers and students alike, the volume describes how to perform each stage of the data collection process on the Internet, including sampling, instrument design, and administration. Through the use of non-technical prose and illustrations, it details the options available, describes potential dangers in choosing them, and provides guidelines for sidestepping them. In doing so, though, it does not simply reiterate the practices of traditional communication modes, but approaches the Internet as a unique medium that necessitates its own conventions.
Category: Computers

Processing Data

Author : Linda B. Bourque
ISBN : 0803947410
Genre : Social Science
File Size : 66.69 MB
Format : PDF, Kindle
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This volume highlights the theory that decisions made during the design of a data collection instrument influence the kind of data and the format of the data that are available for analysis. Opening with a discussion on the selection of the data collection technique(s) and how this impacts on data processing and the data for later analysis, the book covers key issues such as: should you create your own instrument for a questionnaire? how do you test a questionnaire? what are the characteristics of good data processing? how to deal with missing data? how to scale an evaluation and create subfiles for analysis? In addition, each major section concludes with examples and when appropriate, directs the reader to commonly available computer software that can aid in data processing.
Category: Social Science

Monte Carlo Simulation

Author : Christopher Z. Mooney
ISBN : 0803959435
Genre : Education
File Size : 84.82 MB
Format : PDF
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The author explains the logic behind the method and demonstrates its uses for social and behavioral research in: conducting inference using statistics with only weak mathematical theory; testing null hypotheses under a variety of plausible conditions; assessing the robustness of parametric inference to violations of its assumptions; assessing the quality of inferential methods; and comparing the properties of two or more estimators. In addition, Christopher Z Mooney carefully demonstrates how to prepare computer algorithms using GAUSS code and uses several research examples to demonstrate these principles. This volume will enable researchers to execute Monte Carlo Simulation effectively and to interpret the estimated sampling distribution generated from its use.
Category: Education

Measures Of Association

Author : Albert M. Liebetrau
ISBN : 0803919743
Genre : Social Science
File Size : 46.42 MB
Format : PDF
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Clearly reviews the properties of important contemporary measures of association and correlation. Liebetrau devotes full chapters to measures for nominal, ordinal, and continuous (interval) data, paying special attention to the sampling distributions needed to determine levels of significance and confidence intervals. Valuable discussions also focus on the relationships between various measures, the sampling properties of their estimators and the comparative advantages and disadvantages of different approaches.
Category: Social Science

A Stata Companion To Political Analysis

Author : Philip H. Pollock III
ISBN : 9781483370637
Genre : Political Science
File Size : 65.87 MB
Format : PDF, ePub
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With Philip Pollock's Third Edition of A Stata Companion to Political Analysis, students quickly learn Stata via step-by-step instruction, more than 50 exercises, customized datasets, annotated screen shots, boxes that highlight Stata's special capabilities, and guidance on using Stata to read raw data. This attractive and value-priced workbook, an ideal complement to Pollock’s Essentials of Political Analysis, is a must-have for any political science student working with Stata.
Category: Political Science