Workers' and Neighborhood Movements in the Portuguese Revolution
Portugal's 1974 military coup brought down the longest established fascist regime in the history of the world at that time. This book describes the days of workplace and community takeovers, of how people worked for and embodied a new model of revolution based on popular power.
A New York roofer requests payment in cash. A Bogota car mechanic sets up 'shop' on a quiet side street. Four Mexican immigrants assemble semiconductors in a San Diego home. A Leningrad doctor sells needed medicine to a desperate patient. All are part of a growing worldwide phenomenon that is widely known but little understood. The informal or ......
Systematic, Comprehensive, and Effective Psychotherapy
This book offers a practical, step-by-step guide to every phase of assessment and therapy, from the initial interview to follow-up treatments aimed at preventing relapse once formal treatment is over.
Is knowledge possible? If so, what can we know and how do we come to know it? What degree of certainty does our knowledge enjoy? This work outlines the seventeenth-century philosopher Descartes' philosophical method and then counters the sceptics of his time by insisting that certain knowledge can be had.
In the genre of Christian philosophers, Spinoza presents a geometric argument for the necessary existence of God as the one absolute substance underlying all other substance. From the necessity of God's existance, he derives the laws of existence, those of nature, and the ethical principles animating human conduct. In this sweeping volume that ......
The author expounds the application of this multivariate analysis technique to the social sciences. He demonstrates what it can offer the researcher in analyzing particular sets of multidimensional data. He shows how it can be used to determine the number of factors to be retained in a factor analysis; for extracting the initial factors in a factor analysis; in selecting a subset of variables to represent a much larger set; and in coping with multicolinearity in regression analysis, a persistent problem in behavioural and social science data sets.
For social science researchers who find themselves with data available from both temporal observations at regular intervals (time series) and from observations at single points of time (cross-sections), pooled time series can improve the statistical efficiency of the estimates. By "pooling" time series and cross-sectional data, the researcher can increase the sample size and do a more effective analysis. The text covers a variety of pooled time series models including the "constant coefficients" model in which the parameters are constant across space and time, the "least squares dummy variable" model which permits the intercept to vary by time and by cross-section, the "error components" model which takes explicit account of cross-sectional and time series disturbances, and the "strucural equation model", which goes beyond the error components model.
