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Since Charles Spearman published his seminal paper on factor analysis in 1904 and Karl Joresk ̈ og replaced the observed variables in an econometric structural equation model by latent factors in 1970, causal modelling by means of latent variables has become the standard in the social and behavioural sciences. Indeed, the central va- ables that social and behavioural theories deal with, can hardly ever be identi?ed as observed variables. Statistical modelling has to take account of measurement - rors and invalidities in the observed variables and so address the underlying latent variables. Moreover, during the past decades it has been widely agreed on that serious causal modelling should be based on longitudinal data. It is especially in the ?eld of longitudinal research and analysis, including panel research, that progress has been made in recent years. Many comprehensive panel data sets as, for example, on human development and voting behaviour have become available for analysis. The number of publications based on longitudinal data has increased immensely. Papers with causal claims based on cross-sectional data only experience rejection just for that reason.
After Karl Jöreskog's first presentation in 1970, Structural Equation Modelling or SEM has become a main statistical tool in many fields of science. It is the standard approach of factor analytic and causal modelling in such diverse fields as sociology, education, psychology, economics, management and medical sciences. In addition to an extension of its application area, Structural Equation Modelling also features a continual renewal and extension of its theoretical background. The sixteen contributions to this book, written by experts from many countries, present important new developments and interesting applications in Structural Equation Modelling. The book addresses methodologists and ...
Knowledge has in recent years become a key driver for growth of regions and nations. This volume empirically investigates the emergence of the knowledge economy in the late 20th century from a regional point of view. It first deals with the theoretical background for understanding the knowledge economy, with knowledge spillovers and development externalities. It then examines aspects of the relationship between knowledge inputs and innovative outputs in the information, computer and telecommunications sector (ICT) of the economy at the regional level. Case studies focusing on a wide variety of sectors, countries and regions finally illustrate important regional innovation issues.
Throughout the entire lifespan, individuals are required to adapt to the demands of changing developmental contexts and dynamic social environments. The potential modifiability of a person's cognitive and neural processes has been referred to as plasticity. One way to assess cognitive and neural plasticity is to apply training interventions and to measure the related changes in trained and untrained situations. Over the last decade, the literature on the effects of cognitive interventions has been growing rapidly, oftentimes focusing on the magnitude, scope, and maintenance of training-related benefits and their transferability to untrained tasks and abilities. Recent studies show that plast...
This report draws on case studies to explore the relationship between environmentally-related taxation and innovation to see whether taxation can spur innovation and if so, what types.
Renowned for its international coverage and rigorous selection procedures, this series provides the most comprehensive and scholarly bibliographic service available in the social sciences. Arranged by topic and indexed by author, subject and place-name, each bibliography lists and annotates the most important works published in its field during the year of 1997, including hard-to-locate journal articles. Each volume also includes a complete list of the periodicals consulted.
This volume concerns various aspects of the theory and application of language conflict phenomena seen from an interdisciplinary perspective. The focus is on linguistic, social, psychological and educational issues (conditions, constraints and consequences) involved in the status and use of languages in multilingual settings. The book is divided into four sections, which deal with: theoretical issues - such as the nature of the concepts of language maintenance; language policy and language planning; attitudes towards languages; and codeswitching and language choice.
'the editors have done an excellent job in bringing together a comprehensive collection of cutting edge research findings on network theory. . .' - Sierdjan Koster, European Spatial Research and Policy
A theoretical critique of the patent and innovation policy funnelled by intellectual property instruments towards developing countries.
This volume reviews longitudinal models and analysis procedures for use in the behavioral and social sciences. Written by distinguished experts in the field, the book presents the most current approaches and theories, and the technical problems that may be encountered along the way. Readers will find new ideas about the use of longitudinal analysis in solving problems that arise due to the specific nature of the research design and the data available. Longitudinal Models in the Behavioral and Related Sciences opens with the latest theoretical developments. In particular, the book addresses situations that arise due to the categorical nature of the data, issues related to state space modeling...