Interaction Effects in Factorial Analysis of Variance

Author: James Jaccard,Jim Jaccard

Publisher: SAGE

ISBN: 9780761912217

Category: Mathematics

Page: 103

View: 3620

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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.
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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: 8293

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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.
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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: 8759

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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.
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Fractal Analysis

Author: Clifford Brown,Larry Liebovitch

Publisher: SAGE

ISBN: 1412971659

Category: Mathematics

Page: 90

View: 4795

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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.
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Assessing Inequality

Author: Lingxin Hao,Daniel Q. Naiman

Publisher: SAGE Publications

ISBN: 1483342638

Category: Social Science

Page: 160

View: 3773

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Providing basic foundations for measuring inequality from the perspective of distributional properties This monograpg reviews a set of widely used summary inequality measures, and the lesser known relative distribution method provides the basic rationale behind each measure and discusses their interconnections. It also introduces model-based decomposition of inequality over time using quantile regression. This approach enables researchers to estimate two different contributions to changes in inequality between two time points. Key Features Clear statistical explanations provide fundamental statistical basis for understanding the new modeling framework Straightforward empirical examples reinforce statistical knowledge and ready-to-use procedures Multiple approaches to assessing inequality are introduced by starting with the basic distributional property and providing connections among approaches This supplementary text is appropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as individual researchers. Learn more about "The Little Green Book" - QASS Series! Click Here
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Multivariate Analysis of Variance

Author: James H. Bray,Scott E. Maxwell,Scott E.. Maxwell

Publisher: SAGE

ISBN: 9780803923102

Category: Social Science

Page: 80

View: 8839

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Bray's monograph considers the multivariate form of analysis of variance (MANOVA). The primary emphasis of the book is on methods for interpreting MANOVA statistical analyses. These are illustrated through the use of two numerical examples: one involves a small, hypothetical data set, which can be analyzed by the reader with minimal effort; the other involves real data and shows how MANOVA can be used in actual research. MANOVA represents a logical extension of Analysis of Variance by Iversen and Norpoth (QASS 1).
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Experimental Design and Analysis

Author: Steven R. Brown,Lawrence E. Melamed

Publisher: SAGE

ISBN: 9780803938540

Category: Social Science

Page: 86

View: 9331

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This volume introduces the reader to one of the most fundamental topics in social science statistics: experimental design. The authors clearly show how to select an experimental design based on the number of independent variables and the number of subjects. Other topics addressed include variability, hypothesis testing, how ANOVA can be extended to the multi-group situation, the logic of the t test and completely randomized designs.
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Analysis of Variance

Author: Gudmund R. Iversen,Albert R. Wildt,Helmut Norpoth,Helmut P. Norpoth

Publisher: SAGE

ISBN: 9780803930018

Category: Mathematics

Page: 94

View: 5935

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The second edition of this book provides a conceptual understanding of analysis of variance. It outlines methods for analysing variance that are used to study the effect of one or more nominal variables on a dependent, interval level variable. The book presumes only elementary background in significance testing and data analysis.
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Quantile Regression

Author: Lingxin Hao,Daniel Q. Naiman

Publisher: SAGE Publications

ISBN: 1483316904

Category: Social Science

Page: 136

View: 2538

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Quantile Regression, the first book of Hao and Naiman's two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literature exists for each subject, the authors seek to explore the natural connections between this increasingly sought-after tool and research topics in the social sciences. Quantile regression as a method does not rely on assumptions as restrictive as those for the classical linear regression; though more traditional models such as least squares linear regression are more widely utilized, Hao and Naiman show, in their application of quantile regression to empirical research, how this model yields a more complete understanding of inequality. Inequality is a perennial concern in the social sciences, and recently there has been much research in health inequality as well. Major software packages have also gradually implemented quantile regression. Quantile Regression will be of interest not only to the traditional social science market but other markets such as the health and public health related disciplines. Key Features: Establishes a natural link between quantile regression and inequality studies in the social sciences Contains clearly defined terms, simplified empirical equations, illustrative graphs, empirical tables and graphs from examples Includes computational codes using statistical software popular among social scientists Oriented to empirical research
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