6 edition of Handbook of Statistical Modeling for the Social and Behavioral Sciences found in the catalog.
November 30, 1994
Written in English
|Contributions||G. Arminger (Editor), Clifford C. Clogg (Editor), M.E. Sobel (Editor)|
|The Physical Object|
|Number of Pages||614|
Multilevel Modeling Using R (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) 2nd Edition by W. Holmes Finch (Author)5/5(1). The book also describes models for categorical dependent variables in both single level and multilevel data. The book concludes with Bayesian fitting of multilevel models. For those new to R, the appendix provides an introduction to this system that covers basic R knowledge necessary to Cited by:
(source: Nielsen Book Data) Summary This is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are increasingly used in the social and behavioral sciences. Both basic and advanced designs are covered. Multilevel models were developed and adopted very quickly in the social sciences during the s and s. Two factors seem to have caused this rapid change. First, social scientists generally knew that .
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Following a common format, each chapter introduces a model, illustrates the types of problems and data for which the model is best used, provides numerous examples that draw upon familiar models or procedures, and includes material on software that can be used to estimate the models studied.
This handbook will aid researchers, methodologists, graduate students, and statisticians to understand and resolve common modeling : G. Arminger. Following a common format, each chapter introduces a model, illustrates the types of problems and data for which the model is best used, provides numerous examples that draw upon familiar models or procedures, and includes material on software that can be used to estimate the models studied.
This handbook will aid researchers, methodologists, graduate students, and statisticians to understand and resolve common modeling problems. Handbook of Statistical Modeling for the Social and Behavioral Sciences: 1st (First) Edition Hardcover – Novem by M.E.
Sobel (Editor) G. Arminger (Editor), Clifford C. Clogg (Editor) (Author)Author: M.E. Sobel (Editor) G. Arminger (Editor), Clifford C. Clogg (Editor). Handbook of Statistical Modeling for the Social and Behavioral Sciences Edited by Gerhard Arminger Bergische Universität Wuppertal Wuppertal, Germany Clifford С.
Clogg Late of Pennsylvania State University University Park, Pennsylvania and Michael E. Sobel University of Arizona Tucson, Arizona PLENUM PRESS • NEW YORK AND LONDON.
: Handbook of Item Response Theory: Volume 1: Models (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) (): van der Linden, Wim J.: BooksBrand: Chapman and Hall/CRC. This series aims to capture new developments in statistical methodology with particular relevance to applications in the social and behavioral sciences.
It seeks to promote appropriate use of statistical, econometric and psychometric methods in these applied sciences by publishing a broad range of reference works, textbooks and handbooks.
View our complete catalog of authoritative Statistics for the Social and Behavioral Sciences related book titles and textbooks published by Routledge and CRC Press.
Statistics for the Social and Behavioral Sciences Handbook of Mixed Membership Models. Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in the framework of ultramodern spatial microsimulation modeling while providing the novel approach of creating synthetic spatial microdata.
psychology, sociology, psychiatry, and other behavioral sciences, contain-ing as it does an extensive range of both univariate and multivariate procedures much used in these disciplines.
Our aim in this handbook is to give brief and straightforward descriptions of how to conduct a range of statistical analyses using the latest version of SPSS, SPSS Statistical methodology is often conceived by social scientists in a technical manner; they use it for support rather than for illumination.
This two-volume set attempts to provide some partial remedy to the problems that have led to this state of by: 5. Statistical Analysis Handbook A Comprehensive Handbook of Statistical Concepts, Techniques and Software Tools electronic book and web-accessible formats only.
Disclaimer: This publication is designed to offer accurate and authoritative information in regard to Statistical modeling Computational statistics Inference File Size: 1MB. Sobel M.E. () Causal Inference in the Social and Behavioral Sciences. In: Arminger G., Clogg C.C., Sobel M.E.
(eds) Handbook of Statistical Modeling for the Social and Behavioral Sciences. Springer, Boston, MACited by: ISBN: X OCLC Number: Description: xxi, pages: illustrations ; 26 cm: Contents: Causal inference in the social and behavioral sciences / Michael E. Sobel --Missing data / Roderick J.A.
Little and Nathaniel Schenker --Specification and estimation of mean structures: regression models / Gerhard Arminger --Specification and estimation of mean- and covariance.
ISBN: X OCLC Number: Description: xxi, pages: Contents: Casual Inference in the Social and Behavioral Sciences. Missing Data. 5For a more detailed discussion of modeling in the social sciences, see ch. 29 (\Local models versus global theories, and their assessment") of this handbook.
For a general review of models in science, see Frigg and Hartmann (). 6See ch. 15 (\Rational choice and its alternatives") of this handbook. 7See ch. 16 (\Game theory") of this handbook. Russell T. Warne makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences.
Students who use this book will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting and practice of statistics Cited by: 2.
Get this from a library. Handbook of statistical modeling for the social and behavioral sciences. [Gerhard Arminger;]. Rost, eds., Latent Trait and Latent Class Models, New York: Plenum. (), “The Impact of Sociological Methodology on Statistical Methodology” (with discussion), Statistical Science, 7, – Google ScholarCited by: Multistate Models for the Analysis of Life History Data 1st Edition.
Richard J Cook, Jerald F. Lawless Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data.
MODERN STATISTICS FOR THE SOCIAL AND BEHAVIORAL SCIENCES: A PRACTICAL INTRODUCTION. Chapman & Hall/ CRC Press, 1 INTRODUCTION. Summary Drawing on the authors’ varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social updates in every chapter, this edition expands its topics to include regression analysis, confirmatory factor analysis, structural equation models, and.That features accessible writing and correctly-constructed-in evaluation examples, Fundamental Statistics for the Social and Behavioral Sciences by Howard T.
Tokunaga is designed to help readers develop an appreciation of how statistics are utilized to topics and questions of curiosity, obtain an appreciation of factors related to the use of.and interpretation of statistical data in the social sciences was Peter Winch.
In his book, The Idea of a Social Science and Its Relation to Philosophy (published in and still in press), Winch exploited Wittgenstein’s revolutionary re-thinking of the concept of ‘grammar’ and sought to apply it to topics central to social -scientific File Size: 1MB.