Clifford C. Clogg – författare

Categorical Variables in Developmental Research provides developmental researchers with the basic tools for understanding how to utilize categorical variables in their data analysis. Covering the measurement of individual differences in growth rates, the measurement of stage transitions, latent class and log-linear models, chi-square, and more, the book provides a means for developmental researchers to make use of categorical data.- Measurement and repeated observations of categorical data- Catastrophe theory- Latent class and log-linear models- Applications

Contributors thoroughly survey the most important statistical models used in empirical reserch in the social and behavioral sciences. 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.

With the passing of Clifford Collier Clogg at the age of 45 on May 7th 1995, the world lost a talented sociologist, demographer, and statistician all at once. In addition to being a considerable talent in each of these three disciplines, and perhaps more importantly, Cliff was the type of person who brought to­ gether diverse elements and scholars from all three. Cliff was also a consum­ mate mentor, nurturing ideas and students and always striving to bring out the best in both. Perhaps nothing illustrates the stature, impact, and respect others held for Cliff more than the fact that never before-and never since­ has an individual been honored at the time of his death with ceremonies from the national associations of all three of these disciplines. The purpose of this book is to introduce to a broad constituency of social scientists and their students some of the basic ideas in the study of the labor force that Cliff and his colleagues had grappled with. At the time of Cliff's death, he was perhaps better known for his methodological contributions to sociology and demography than he was for his substantive contributions to the study of social stratification and the labor force. Our goal is to highlight Cliff's substantive contributions to sociology and demography by telling the cumulative story of his research and adding updated analysis that advances the story beyond the early 1980s to the mid-1990s.

Measuring Underemployment: Demographic Indicators for the United States discusses the Labor Utilization Framework of Hauser and Sullivan, which is a measurement scheme that posits the existence of three dimensions, or forms, of underemployment— time, income, and skill-utilization. This book describes the conceptual groundwork, operational measurement, and implications of the Labor Utilization Framework on the way the labor force aggregates. The essential elements of the socio-demographic theory of the labor force with the logical unity provided by both the Labor Utilization Framework and the specific methodologies adopted for its analysis are also elaborated. This text likewise covers the methods for latent structure analysis and cohort analysis, including the theory of frictional underemployment; "class structure governing the distribution of labor market rewards; tempo of social change in the labor force; "productive value of a population; and "true dependency on productive labor. This publication is a good source for students and researchers concerned with different labor force topics that can be plausibly studied from the viewpoint of the Hauser-Sullivan framework.

Contributors thoroughly survey the most important statistical models used in empirical reserch in the social and behavioral sciences. 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.