Interaction Effects in Multiple Regression


Author: James Jaccard,Jim Jaccard,Robert Turrisi
Publisher: SAGE
ISBN: 9780761927426
Category: Mathematics
Page: 92
View: 3146

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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

Interaction Effects in Linear and Generalized Linear Models

Examples and Applications Using Stata
Author: Robert L. Kaufman
Publisher: SAGE Publications
ISBN: 1506365396
Category: Social Science
Page: 608
View: 5733

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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.

Interaction Effects in Logistic Regression


Author: James Jaccard,Jim Jaccard
Publisher: SAGE
ISBN: 9780761922070
Category: Mathematics
Page: 70
View: 6336

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This book provides an introduction to the analysis of interaction effects in logistic regression by focusing on the interpretation of the coefficients of interactive logistic models for a wide range of situations encountered in the research literature. The volume is oriented toward the applied researcher with a rudimentary background in multiple regression and logistic regression and does not include complex formulas that could be intimidating to the applied researcher.

Applied Statistics: From Bivariate Through Multivariate Techniques

From Bivariate Through Multivariate Techniques
Author: Rebecca M. Warner
Publisher: SAGE
ISBN: 141299134X
Category: Mathematics
Page: 1172
View: 1676

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Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.

LISREL Approaches to Interaction Effects in Multiple Regression


Author: James Jaccard,Choi K Wan,Jim Jaccard
Publisher: SAGE
ISBN: 9780803971790
Category: Social Science
Page: 98
View: 4088

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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.

The SAGE Encyclopedia of Social Science Research Methods


Author: Michael Lewis-Beck,Alan E Bryman,Tim Futing Liao
Publisher: SAGE
ISBN: 9780761923633
Category: Social Science
Page: 1305
View: 2948

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"The first encyclopedia to cover inclusively both quantitative and qualitative research approaches, this set provides clear explanations of 1,000 methodologies, avoiding mathematical equations when possible with liberal cross-referencing and bibliographies. Each volume includes a list of works cited, and the third contains a comprehensive index and lists of person names, organizations, books, tests, software, major concepts, surveys, and methodologies."--"Reference that rocks," American Libraries, May 2005.

Argumente, Bildung und Moral

Eine empirische Untersuchung zu Kohlbergs Theorie des moralischen Urteils
Author: Hermann Dülmer
Publisher: VS Verlag für Sozialwissenschaften
ISBN: N.A
Category: Social Science
Page: 295
View: 9131

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Vor dem Hintergrund von Kohlbergs Theorie des moralischen Urteils wird anhand zweier exemplarisch ausgewählter Konfliktbereiche empirisch untersucht, welchen Einfluss Argumente auf das moralische Urteil ausüben und ob dieser Einfluss vom erreichten Bildungsniveau abhängt.

Data Analysis

An Introduction
Author: Michael S. Lewis-Beck
Publisher: SAGE Publications, Incorporated
ISBN: N.A
Category: Medical
Page: 77
View: 6050

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"Written at a level appropriate for the advanced undergraduate course on data analysis, this accessible volume introduces the reader to the "art" of data analysis from data-gathering to multiple regression in which a dependent variable is influenced by several independent variables. The book focuses on the interpretation of a statistical result, in particular those that come from nonexperimental social research. Using a consistent data set throughout the book in order to illustrate the various analytic techniques, the author covers such topics as univariate statistics, measures of association, the statistical significance of the relationship between two variables, and simple regression where the dependent variable is influenced by a single independent variable. The last chapter offers analysis recommendations. Data Analysis will provide social science researchers with the tools to select and evaluate statistical tests appropriate for their particular research question."--pub. desc.

Regression with Dummy Variables


Author: Melissa A. Hardy
Publisher: SAGE
ISBN: 9780803951280
Category: Social Science
Page: 90
View: 8669

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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.

Logistic Regression Models for Ordinal Response Variables


Author: Ann A. O'Connell
Publisher: SAGE
ISBN: 9780761929895
Category: Mathematics
Page: 107
View: 9795

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Logistic Regression Models for Ordinal Response Variables provides applied researchers in the social, educational, and behavioral sciences with an accessible and comprehensive coverage of analyses for ordinal outcomes. The content builds on a review of logistic regression, and extends to details of the cumulative (proportional) odds, continuation ratio, and adjacent category models for ordinal data. Description and examples of partial proportional odds models are also provided. This book is highly readable, with lots of examples and in-depth explanations and interpretations of model characteristics.

Multi-Level Europeans

The Influence of Territorial Attachments on Political Trust and Welfare Attitudes
Author: Linda Berg
Publisher: Department of Political Science Goteborg University
ISBN: N.A
Category: Europe
Page: 207
View: 7183

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The Association Graph and the Multigraph for Loglinear Models


Author: Harry J. Khamis
Publisher: SAGE
ISBN: 1452238952
Category: Mathematics
Page: 136
View: 3118

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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.

Interaction Effects in Factorial Analysis of Variance


Author: James Jaccard,Jim Jaccard
Publisher: SAGE
ISBN: 9780761912217
Category: Mathematics
Page: 103
View: 2005

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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.

Applied logistic regression analysis


Author: Scott W. Menard
Publisher: Sage Publications, Inc
ISBN: N.A
Category: Mathematics
Page: 98
View: 6017

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Emphasizing the parallels between linear and logistic regression, Scott Menard explores logistic regression analysis and demonstrates its usefulness in analyzing dichotomous, polytomous nominal, and polytomous ordinal dependent variables. The book is aimed at readers with a background in bivariate and multiple linear regression.

Multivariate General Linear Models


Author: Richard F. Haase
Publisher: SAGE Publications
ISBN: 1483342115
Category: Mathematics
Page: 224
View: 6491

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Multivariate General Linear Models is an integrated introduction to multivariate multiple regression analysis (MMR) and multivariate analysis of variance (MANOVA). Beginning with an overview of the univariate general linear model, this volume defines the key steps in analyzing linear model data, and introduces multivariate linear model analysis as a generalization of the univariate model. The author focuses on multivariate measures of association for four common multivariate test statistics, presents a flexible method for testing hypotheses on models, and emphasizes the multivariate procedures attributable to Wilks, Pillai, Hotelling, and Roy. The volume concludes with a discussion of canonical correlation analysis that is shown to subsume all the multivariate procedures discussed in previous chapters. The analyses are illustrated throughout the text with three running examples drawing from several disciples, including personnel psychology, anthropology, environmental epidemiology, and neuropsychology.

Internet Data Collection


Author: Samuel J. Best,Brian S. Krueger
Publisher: SAGE
ISBN: 9780761927105
Category: Computers
Page: 91
View: 3663

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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.

Nonrecursive Models

Endogeneity, Reciprocal Relationships, and Feedback Loops
Author: Pamela Paxton,John R. Hipp,Sandra Marquart-Pyatt,Sandra T. Marquart-Pyatt
Publisher: SAGE Publications
ISBN: 1412974445
Category: Social Science
Page: 128
View: 2472

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Nonrecursive Models provides explicit guidance to researchers on the estimation and assessment of nonrecursive simultaneous equation models in a clear, condensed and precise form. It guides readers through the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to correctly interpret results.

Fractal Analysis


Author: Clifford Brown,Larry Liebovitch
Publisher: SAGE
ISBN: 1412971659
Category: Mathematics
Page: 90
View: 7329

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As one of the only texts introducing fractal analysis and the social processes involved to social science readers, this is a must-have book for those looking to gain an understanding of this area of analysis.