INTERACTION EFFECTS IN MULTIPLE REGRESSION

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Interaction Effects In Multiple Regression

Author : James Jaccard
ISBN : 0761927425
Genre : Mathematics
File Size : 38.71 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 : Business & Economics
File Size : 30.83 MB
Format : PDF, ePub
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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: Business & Economics

Lisrel Approaches To Interaction Effects In Multiple Regression

Author : James Jaccard
ISBN : 0803971796
Genre : Social Science
File Size : 47.56 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 Linear And Generalized Linear Models

Author : Robert L. Kaufman
ISBN : 9781506365398
Genre : Social Science
File Size : 44.79 MB
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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

Interaction Effects In Logistic Regression

Author : James Jaccard
ISBN : 9781544332598
Genre : Social Science
File Size : 38.63 MB
Format : PDF
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Oriented toward the applied researcher with a basic background in multiple regression and logistic regression, this book shows readers the 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. Using completely worked-out examples, the author focuses on the interpretation of the coefficients of interactive logistic models for a wide range of scenarios encountered in the research literature. In addition, the author avoids complex formulas in favor of simple computer-based heuristics that permit the simple calculation of parameter estimates and estimated standard errors that will typically be of interest to applied researchers.
Category: Social Science

Multilevel Analysis

Author : J. J. Hox
ISBN : 9780805832181
Genre : Mathematics
File Size : 27.78 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

Statistics In Plain English

Author : Timothy C. Urdan
ISBN : 9780805852417
Genre : Mathematics
File Size : 38.95 MB
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This book is meant to be a supplement to a more detailed statistics textbook, such as that recommended for a statistics course in the social sciences. Also, as a reference book to refresh your memory about statistical concepts.
Category: Mathematics

The Association Graph And The Multigraph For Loglinear Models

Author : Harry J. Khamis
ISBN : 9781452238951
Genre : Mathematics
File Size : 24.62 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

Regression With Dummy Variables

Author : Melissa A. Hardy
ISBN : 0803951280
Genre : Social Science
File Size : 73.35 MB
Format : PDF, Kindle
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It is often necessary for social scientists to study differences in groups, such as gender or race differences in attitudes, buying behavior, or socioeconomic characteristics. When the researcher seeks to estimate group differences through the use of independent variables that are qualitative, dummy variables allow the researcher to represent information about group membership in quantitative terms without imposing unrealistic measurement assumptions on the categorical variables. Beginning with the simplest model, Hardy probes the use of dummy variable regression in increasingly complex specifications, exploring issues such as: interaction, heteroscedasticity, multiple comparisons and significance testing, the use of effects or contrast coding, testing for curvilinearity, and estimating a piecewise linear regression.
Category: Social Science

Communication Research Statistics

Author : John C. Reinard
ISBN : 0761929878
Genre : Language Arts & Disciplines
File Size : 28.64 MB
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Written in an accessible style using simple and direct language, Communication Research Statisticsguides students through the statistics actually used in most empirical research in communication and the social sciences. This book is the only work in communication that includes details on statistical analysis of data with a full set of data analysis instructions based on SPSS 12 and Excel.
Category: Language Arts & Disciplines