The updated second edition offers expanded discussions of the chi square test of significance and the potential measures of association available for use with categoric data. Reviewing basic techniques in analysis of nominal data, this paper employs survey research data on party identification and ideologies to indicate which measures and tests are most appropriate for particular theoretical concerns. This book serves as an ideal primer for Volume 20, Log-Linear Models.
The updated second edition offers expanded discussions of the chi square test of significance and the potential measures of association available for ...
This short monograph lays out the theory behind, and techniques for, using dynamic modelling, taking the reader through a series of increasingly complex models. At each step, examples are used to explain the process, and also to clarify specific applications of difference equation models in the social sciences.
'It is a good example of classical mathematical model building and I may well use it as a text for the course on that subject in our MSc on Quantitative Methods in the Behavioural Sciences...in general it is to be recommended.' -- Bethlem and Maudsley Gazette, Vol 31 No 2, 1983
This short monograph lays out the theory behind, and techniques for, using dynamic modelling, taking the reader through a series of increasingly compl...
A presentation and critique of the use of multiple measures of theoretical concepts for the assessment of validity (using the multi-trait multi-method matrix) and reliability (using multiple indicators with a path analytic framework).
A presentation and critique of the use of multiple measures of theoretical concepts for the assessment of validity (using the multi-trait multi-method...
Discusses the innovative log-linear model of statistical analysis. This model makes no distinction between independent and dependent variables, but is used to examine relationships among categoric variables by analyzing expected cell frequencies.
Discusses the innovative log-linear model of statistical analysis. This model makes no distinction between independent and dependent variables, but...
John P. McIver John L. Sullivan Edward G. Carmines
Provides an introduction to the fundamentals of scaling theory and construction, focusing on a variety of unidimensional scaling models. The authors present an overview and comparative analysis of such techniques as Thurstone scaling, Likert scaling, Guttman scaling, and unfolding theory, with emphasis on their varying conceptions of dimensionality.
Provides an introduction to the fundamentals of scaling theory and construction, focusing on a variety of unidimensional scaling models. The author...
Interpreting and Using Regression sets out the actual procedures researchers employ, places them in the framework of statistical theory, and shows how good research takes account both of statistical theory and real world demands. Achen builds a working philosophy of regression that goes well beyond the abstract, unrealistic treatment given in previous texts.
Interpreting and Using Regression sets out the actual procedures researchers employ, places them in the framework of statistical theory, and shows ...
A unique, practical manual for identifying and analyzing item bias in standardized tests. Osterlind discusses five strategies for detecting bias: analysis of variance, transformed item difficulties, chi square, item characteristic curve, and distractor response. He covers specific hypotheses under test for each technique, as well as the capabilities and limitations of each strategy.
A unique, practical manual for identifying and analyzing item bias in standardized tests. Osterlind discusses five strategies for detecting bias: anal...
A statistical method that will appeal to two groups in particular - those who are currently using the more traditional technique of exploratory factor analysis and those who are interested in the analysis of covariance structures, commonly known as the LISREL model. The first group will find that this technique may be more appropriate to the analysis of their research problems while the second group will find that confirmatory factor analysis is a useful first step to understanding the LISREL model. This book, and its companion volume, "Covariance Structure Models," are designed to be read...
A statistical method that will appeal to two groups in particular - those who are currently using the more traditional technique of exploratory fac...
Ordinary regression analysis is not appropriate for investigating dichotomous or otherwise "limited" dependent variables, but this volume examines three techniques -- linear probability, probit, and logit models -- which are well-suited for such data. It reviews the linear probability model and discusses alternative specifications of non-linear models. Using detailed examples, Aldrich and Nelson point out the differences among linear, logit, and probit models, and explain the assumptions associated with each.
Ordinary regression analysis is not appropriate for investigating dichotomous or otherwise "limited" dependent variables, but this volume examines ...
Three Way Scaling assumes a working knowledge of multidimensional scaling and Matrix Algebra, which are both introduced in earlier volumes of this series. Arabie, Carroll and DeSarbo begin their discussion with an example of the use of the INDSCAL model, they explain the model and give a second extended example. The authors then present a detailed analysis of SINDSCAL and provide an introduction to three-way scaling models as well as individual differences "clustering "models.
Three Way Scaling assumes a working knowledge of multidimensional scaling and Matrix Algebra, which are both introduced in earlier volumes of this ser...
