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First published in 1982. This is Volume X of Mannheim's collected works. The texts to be presented in this edition had been in the possession of the late Dr Paul Kecskemeti, who was a close associate of Karl Mannheim and a distinguished social scientist in his own right. The published version rests upon a photocopy of the typescripts, which Dr Kecskemeti allowed to be made some years ago.
First published in 1982. This is Volume X of Mannheim's collected works. The texts to be presented in this edition had been in the possession of the late Dr Paul Kecskemeti, who was a close associate of Karl Mannheim and a distinguished social scientist in his own right. The published version rests upon a photocopy of the typescripts, which Dr Kecskemeti allowed to be made some years ago.
Structural Equation Modeling (SEM) is a statistical approach to testing hypothesis about the relationships among observed and latent variables. The use of SEM in research has increased in psychology, sociology, and economics in recent years. In particular educational researchers try to obtain the complete image of the process of education through the measurement of personality differences, learning environment, motivation levels and host of other variables that affect the teaching and learning process. With the use of survey instruments and interviews with students, teachers and other stakeholders as a lens, educators can assess and gain valuable information about the social ecology of the classrooms that could help in improving the instructional approach, classroom management and the learning organizations. A considerable number of research have been conducted to identify the factors and interactions between students’ characteristics, personal preferences, affective traits, study skills, and various other factors that could help in better educational performance. In recent years, educational researchers use Structural Equation Modeling (SEM) as a statistical technique to explore the complex and dynamic nature of interactions in educational research and practice. SEM is becoming a powerful analytical tool and making methodological advances in multivariate analysis. This book presents the collective works on concepts, methodologies and applications of SEM in educational research and practice. The anthology of current research described in this book will be a valuable resource for the next generation educational practitioners.
During the last two decades, structural equation modeling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Although its roots can be traced back to the first half of this century, when Spearman (1904) developed factor analysis and Wright (1934) introduced path analysis, it was not until the 1970s that the works by Karl Joreskog and his associates (e. g. , Joreskog, 1977; Joreskog and Van Thillo, 1973) began to make general SEM techniques accessible to the social and behavioral science research communities. Today, with the development and increasing avail ability of SEM computer programs, SEM has become a well-established and respected data analysis method, incorporating many of the traditional analysis techniques as special cases. State-of-the-art SEM software packages such as LISREL (Joreskog and Sorbom, 1993a,b) and EQS (Bentler, 1993; Bentler and Wu, 1993) handle a variety of ordinary least squares regression designs as well as complex structural equation models involving variables with arbitrary distributions. Unfortunately, many students and researchers hesitate to use SEM methods, perhaps due to the somewhat complex underlying statistical repre sentation and theory. In my opinion, social science students and researchers can benefit greatly from acquiring knowledge and skills in SEM since the methods-applied appropriately-can provide a bridge between the theo retical and empirical aspects of behavioral research.
The Dictionary of Modern American Philosophers includes both academic and non-academic philosophers, and a large number of female and minority thinkers whose work has been neglected. It includes those intellectuals involved in the development of psychology, pedagogy, sociology, anthropology, education, theology, political science, and several other fields, before these disciplines came to be considered distinct from philosophy in the late nineteenth century. Each entry contains a short biography of the writer, an exposition and analysis of his or her doctrines and ideas, a bibliography of writings, and suggestions for further reading. While all the major post-Civil War philosophers are present, the most valuable feature of this dictionary is its coverage of a huge range of less well-known writers, including hundreds of presently obscure thinkers. In many cases, the Dictionary of Modern American Philosophers offers the first scholarly treatment of the life and work of certain writers. This book will be an indispensable reference work for scholars working on almost any aspect of modern American thought.
This is a pioneering study of virtuality through human history: ancient-to-modern evolution and recent expansion; expression in many fields (chapters on Religion; Philosophy, Math, Physics; Literature and the Arts; Economics; Nationhood, Government and War; Communication); psychological and social reasons for its universality; inter-relationship with "reality." The book's thesis: virtuality was always an integral part of humanity in many areas of life, generally expanding over the ages. The reasons: 1- brain psychology; 2- virtuality's six functions — escape from boredom to relieving existential dread. Other questions addressed: How will future neuroscience, biotech and "compunications" affect virtuality? Can/should there be limits to human virtualizing?
Helps learners acquire the skills they need to succeed on the Test of English as a Foreign Language.
First published in 1982. Routledge is an imprint of Taylor & Francis, an informa company.