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The updated second edition offers expanded discussions of the chi square test of significance and the potential measures of association available for ...Savoir plus
This handy guide gives the novice researcher a clear description of the standard tools of the trade. Unlike some texts which focus on either design or...Savoir plus
The techniques of analytic mapping and of geographic information systems (GIS) have become increasingly important tools for analyzing census, crime, e...Savoir plus
A unique, practical manual for identifying and analyzing item bias in standardized tests. Osterlind discusses five strategies for detecting bias: anal...Savoir plus
This book discusses the estimation, simulation, and interpretation of models with multiple outcomes, when these outcomes are either ordered or unorder...Savoir plus
All kinds of human behavior are observed, written about, or documented. Ethnographers can be seen as "documentary accountants" -- they observe and pro...Savoir plus
A substantially revised and updated edition of an earlier volume in the series. Asher presents a number of techniques of causal modelling, beginning w...Savoir plus
Measurement models developed by Georg Rasch are renowned in the social sciences. In this introduction, the focus is on the simple logistic model, whic...Savoir plus
A concise, introductory text on propensity score methods that is easy to comprehend by those who have a limited background in statistics, and is pract...Savoir plus
Updates to this new edition include: more coverage of regression assumptions and model fit; additional material on residual analysis; more examples of...Savoir plus
Demonstrating the use of spatial analysis in the social sciences within a regression framework, the second edition of this text employs examples based...Savoir plus
In this volume the underlying logic and practice of maximum likelihood (ML) estimation is made clear by providing a general modeling framework that ut...Savoir plus
Although clustering--the classifying of objects into meaningful sets--is an important procedure, cluster analysis as a multivariate statistical proced...Savoir plus
Recent advances in statistical methodology and computer automation are making canonical correlation analysis available to more and more researchers. T...Savoir plus
What techniques can social scientists use when an outcome variable for a sample is not representative of the population for whom they would like to ge...Savoir plus
Explaining the techniques and applications of exponential random graph modeling (ERGM) for social scientists, this is a uniquely sophisticated volume ...Savoir plus
A book which summarizes many of the recent advances in the theory and practice of achievement testing, in the light of technological developments, and...Savoir plus
Do you have data that is not normally distributed and don′t know how to analyze it using generalized linear models (GLM)? Beginning with a discussion ...Savoir plus
This second edition of Basic Content Analysis is completely updated and offers a concise introduction to content analysis methods from a social scienc...Savoir plus
Logit Modeling represents a breakthrough for researchers because it offers ways for more efficient estimation of models with multiple categorical vari...Savoir plus
The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. ...Savoir plus
This short monograph lays out the theory behind, and techniques for, using dynamic modelling, taking the reader through a series of increasingly compl...Savoir plus
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...Savoir plus
An introduction to a variety of techniques that may be used in the analysis of data from a panel study -- information obtained from a large number of ...Savoir plus