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Böcker i Quantitative Applications in the Social Sciences-serien

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  • av Robert A. Benfer
    556,-

    Introduces the concept of expert systems development as a model for the acquisition, representation and validation of knowledge about relatively limited domains. Case studies derive from the authors' own development experiences in the social sciences.

  • av John Fox
    556,-

    This book builds on John Fox's previous volume in the QASS Series, Non Parametric Simple Regression. In this book, the reader learns how to estimate and plot smooth functions when there are multiple independent variables.

  • av Gudmund R. Iversen
    556,-

    This book offers an overview of the central ideas in calculus and gives examples of how calculus is used to translate many real-world phenomena into mathematical functions. Beginning with an explanation of the two major parts of calculus - differentiation and integration - Gudmund R Iversen illustrates how calculus is used in statistics: to distinguish between the mean and the median; to derive the least squares formulas for regression co-efficients; to find values of parameters from theoretical distributions; and to find a statistical p-value when using one of the continuous test variables such as the t-variable.

  • av Brigitte Le Roux
    520,-

    This book provides a nontechnical introduction to Multiple Correspondence Analysis

  • av Raymond Sin-Kwok Wong
    556,-

    Offers a unified framework to help students and researchers to analyze and understand any social science data that are organized in cross-classified formats.

  • av Lingxin Hao
    556,-

    Through developing a decomposition analysis of the inequality measures and promoting their effective use in research, this book provides readers with a step-by-step understanding of the inequality measures that are currently used.

  • av Allan L. McCutcheon
    546,-

    Latent class analysis is a powerful tool for analyzing the structure of relationships among categorically scored variables. It enables researchers to explore the suitability of combining two or more categorical variables into typologies or scales. It also provides a method for testing hypotheses regarding the latent structure among categorical variables.

  • - Incomplete Information, Repeated Games and N-Player Games
    av Evelyn C. Fink
    556,-

    PLEASE UPDATE SAGE UK AND SAGE INDIA ADDRESSES ON IMPRINT PAGE.

  • av Steven J. Osterlind
    556,-

    This new edition presents an up-to-date description of differential item functioning. It describes varying procedures for addressing this process in practical testing contexts and presents useful examples and studies that readers may employ as a guide in their own work

  • av Paul D. Allison
    546,-

    This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts.

  • av Harry J. Khamis
    556,-

    Looking at the multigraph representations of loglinear models, this is a clear, introductory text on the area of graphical models and is an ideal text for those new to the field.

  • - Detection and Correction
    av Robert L. Kaufman
    556,-

    This text covers the consequences of violating one of the key assumptions of Ordinary Least Squares regression (equal error variances), diagnostic tools to assess the existence of the problem of heteroskedasticity, and statistical techniques to analyse the data correctly.

  • av Bruce F. McKeown
    556,-

    Defines the distinctive set of psychometric and operational principles which, when combined with specialized statistical applications of correlation and factor-analysis techniques, provide researchers with a systematic and rigorously quantitative means for examining human subjectivity.

  • - Practical Applications
    av Alfred DeMaris
    556,-

  • - Endogeneity, Reciprocal Relationships, and Feedback Loops
    av Pamela M. Paxton
    556,-

    This text 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.

  • - Mokken Scale Analysis
    av Wijbrandt H. van Schuur
    556,-

    Part of the 'little green books' QASS series, this text provides a clear introduction to ordinal item response theory.

  • av Clifford T. Brown
    556,-

    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.

  • av Richard F. Haase
    556,-

    With the format of the text mirroring the steps needed to be taken to solve multivariate general linear model problems, this clear and accessible guide introduces readers to this area of statistics.

  • av Valentim R. Alferes
    546,-

    This book provides a conceptual systematization and a practical tool for the randomization of between-subjects and within-subjects experimental designs.

  • av Jenine K. Harris
    556,-

    Explaining the techniques and applications of exponential random graph modeling (ERGM) for social scientists, this is a uniquely sophisticated volume for examining social systems.

  • - An Introductory Guide
    av Larry D. Schroeder
    546,-

    Presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style.

  • - Two-Group Studies
    av E. C. Hedberg
    546,-

    Introduction to Power Analysis: Two-Group Studies provides readers with the background, examples, and explanation they need to read technical papers and materials that include complex power analyses.  This clear and accessible guide explains the components of test statistics and their sampling distributions, and author Eric Hedberg walks the reader through the simple and complex considerations of this research question. Filled with graphics and examples, the reader is taken on a tour of power analyses from covariates to clusters, seeing how the complicated task of comparing two groups, and the power analysis, can be made easy.

  • av Kristian Skrede Gleditsch & Michael D. Ward
    546,-

    Assuming no prior knowledge, this book is geared toward social science readers. It illustrates concepts using well known international, comparative, and national examples of spatial regression analysis. Each example is presented alongside relevant data and code, which is also available on a Web site maintained by the authors.

  • - A Unified Approach
    av Jefferson M. Gill
    546,-

    Explaining the theoretical underpinning of generalized linear models, this text enables researchers to decide how to select the best way to adapt their data for this type of analysis, with examples to illustrate the application of GLM.

  • av Bruno Castanho Silva
    520,-

    Multilevel Structural Equation Modeling by Bruno Castanho Silva, Constantin Manuel Bosancianu, and Levente Littvay serves as a minimally technical overview of multilevel structural equation modeling (MSEM) for applied researchers and advanced graduate students in the social sciences. As the first book of its kind, this title is an accessible, hands-on introduction for beginners of the topic. The authors predict a growth in this area, fueled by both data availability and also the availability of new and improved software to run these models. The applied approach, combined with a graphical presentation style and minimal reliance on complex matrix algebra guarantee that this volume will be useful to social science graduate students wanting to utilize such models.

  • av Michael Smithson
    546,-

    The book brings together material on the analysis of limited and bounded variables that is scattered across the literature in several disciplines, and presents it in a style that is both more accessible and up-to-date. The authors provide worked examples in each chapter using real datasets from a variety of disciplines. The software used for the examples include R, SAS, and Stata. The data, software code, and detailed explanations of the example models are available on an accompanying website.

  • - A Primer
    av Fred C. Pampel
    546,-

    Pampel's book offers readers the first "nuts and bolts" approach to doing logistic regression through the use of careful explanations and worked out examples. This book will enable readers to use and understand logistic regression techniques and will serve as a foundation for more advanced treatments of the topic.

  • - An Introduction
    av Michael S. Lewis-Beck & Colin Lewis-Beck
    546,-

    Updates to this new edition include: more coverage of regression assumptions and model fit; additional material on residual analysis; more examples of transformations; and the inclusion of the measures of tolerance and VIF within the discussion about collinearity.

  • av Alexandria R. Hadd
    546,-

    Correlation matrices (along with their unstandardized counterparts, covariance matrices) underlie the majority the statistical methods that researchers use today. A correlation matrix is more than a matrix filled with correlation coefficients. The value of one correlation in the matrix puts constraints on the values of the others, and the multivariate implications of this statement is a major theme of the volume. Alexandria Hadd and Joseph Lee Rodgers cover many features of correlations matrices including statistical hypothesis tests, their role in factor analysis and structural equation modeling, and graphical approaches. They illustrate the discussion with a wide range of lively examples.

  • av John Fox
    550,-

    The ideal primer for students and researchers across the social sciences who wish to master the necessary maths in order to pursue studies involving advanced statistical methods

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