Drawing on recent 'event history' analytical methods from biostatistics, engineering, and sociology, this book explains how longitudinal data can be used to study the causes of deaths, crimes, wars, and many other 'people' events. The author provides... Zobraziť viac
The procedures, collectively known as discriminant analysis, allow a researcher to study the difference between two or more groups of objects with respect to several variables simultaneously, determining whether meaningful differences exist between the... Zobraziť viac
Many problems in the social sciences are amenable to analysis using the analytical tools of logit and probit models. Within this genre an important class of models are those of ordered and of multinomial models. This book explains what ordered and... Zobraziť viac
If you need hints on how to collect, describe, compare and analyze data, you will find them in this handy guide. The author addresses: specification; elaboration; sampling of the `domain' or what is to be sorted. There is also help on: setting the... Zobraziť viac
Differential Item Functioning, Second Edition is a revision of the 1983 title Test Item Bias. In the past 23 years, differential item performance has assumed a level of attention unimagined in the early 1980s. Then, only a few tests and assessment... Zobraziť viac
Aimed at aiding researchers to improve their data's quality, Computer-Assisted Interviewing helps readers identify the possibilities and difficulties which arise in computer-assisted interviewing. The author annotates samples of actual research... Zobraziť viac
Latent class analysis is a powerful tool for analysing 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... Zobraziť viac
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 of fundamental statistical modeling concepts in a multiple regression framework, the authors extend... Zobraziť viac
This volume provides readers with a simple and nontechnical introduction to correspondence analysis (CA), a technique for summarily describing the relationships among categorical variables in large tables. It begins with the history and logic of CA.... Zobraziť viac
Although clustering -- the classifying of objects into meaningful sets -- is an important procedure, cluster analysis as a multivariate statistical procedure is poorly understood. This volume is an introduction to cluster analysis for professionals, as... Zobraziť viac
In recent years the loglinear model has become the dominant form of categorical data analysis as researchers have expanded it into new directions. This book shows researchers the applications of one of these new developments - how uniting ordinary... Zobraziť viac
What log-linear models can social scientists use to examine categorical variables whose attributes may be logically rank-ordered? In this book, the author presents a technique that is often overlooked but highly advantageous when dealing with such... Zobraziť viac
