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Abstract/Sommario: Strategies of data production - Measurement error in regression and path analysis - Path and process models - Association and prediction of variables.

Abstract/Sommario: The revival of growth theory: post-keynesian models - The rise of "neoclassical" models: Solow and Swan - The principal critics of the neoclassical models: the modern Cambridge school - Extensions of the neoclassical models: aggregation and disaggregation - Extensions of the neoclassical models: vintage capital goods - Extensions of the neoclassical models: saving behavior - Endogenous technical progress - Extensions of the neoclassical model: the inclusion of monetary growth - Optimal ...; [Leggi tutto...] The revival of growth theory: post-keynesian models - The rise of "neoclassical" models: Solow and Swan - The principal critics of the neoclassical models: the modern Cambridge school - Extensions of the neoclassical models: aggregation and disaggregation - Extensions of the neoclassical models: vintage capital goods - Extensions of the neoclassical models: saving behavior - Endogenous technical progress - Extensions of the neoclassical model: the inclusion of monetary growth - Optimal growth and intertemporal efficiency - Consumption-oriented optimal growth models - Accumulation-oriented optimal growth models - Appendix: a mathematical review.

Abstract/Sommario: The question of what to do and how to do it in sociological investigation and analysis is as open to innovation and change today as it ever was. In a field that studies a subject about which it can never be said, “This is final,” styles and trends develop as rapidly as new informaticon is discovered. Sociological Methodology 1970 is the second yearbook in a series that endeavors to keep the social scientist abreast of the methodological changes in his field. The series is sponsored by ...; [Leggi tutto...] The question of what to do and how to do it in sociological investigation and analysis is as open to innovation and change today as it ever was. In a field that studies a subject about which it can never be said, “This is final,” styles and trends develop as rapidly as new informaticon is discovered. Sociological Methodology 1970 is the second yearbook in a series that endeavors to keep the social scientist abreast of the methodological changes in his field. The series is sponsored by thè American Sociological Association for the purpose of advancing the development of methodology in sociology. Edgar F. Borgatta and George W. Bohrnstedt have put together a collection of originai essays that touch upon the most current topics in the field and give a rapresentative sampling of the thinking of leading spokesmen. No one methodological area dominates the 1970 yearbook, but several aspects of the book deserve special mention. Part One continues the concern of the 1969 volume with models for causal analysis, which has become an important tool in the development of methodology itself as well as in data analysis per se. Part Two is also of special interest, for, although nontechnical presentations of the measurement problem have occurred in sociology, relatively explicit technical papers have for the most part been absent from the literature. Pare Three deals with several statistical techniques which may prove useful to sociologists and provides introductions to two important branches which sociologists have largely ignored—Bayesian statistics and uncertainty analysis. The 1970 yearbook concludes with three chapters on mathematical sociology. Suitable for profcssionals, graduate students, and serious undergraduates in sociology and related social sciences, "Sociological Methodology" 1970 contains the most important current methodological developments. Ultimately, however, the tools discussed in this book are only as good as the scientific intuition and imagination of the social scientist who uses them.

Abstract/Sommario: The recent surge of interest among sociologists in longitudinal and historical studies is bound to increase our understanding of social dynamics. But because longitudinal analysis raises new problems not relevant to traditional static methodologies, research problems need to be even more carefully formulated than they have been in traditional cross-sectional research, and elaborate, sophisticated statistical models for the analysis of data are required. Sociological Methodology 1977 co ...; [Leggi tutto...] The recent surge of interest among sociologists in longitudinal and historical studies is bound to increase our understanding of social dynamics. But because longitudinal analysis raises new problems not relevant to traditional static methodologies, research problems need to be even more carefully formulated than they have been in traditional cross-sectional research, and elaborate, sophisticated statistical models for the analysis of data are required. Sociological Methodology 1977 concentrates on these problems and opportunities. In this new book, longitudinal data analysis is approached predominantly as a source of information about dynamic processes, not merely as a technique for dealing with the characteristic problems of cross-sectional research, such as defining causai directions. David Heise and his contributors examine a range of topics—how the paradigm can guide research on the cultural basis of everyday behavior; pooling cross-sections and time series in estimation in panel models; using improved procedures for estimating reliability and stability from panel data; evaluating thè Box-Jenkins and econometrie methods of analyzing policy impact problems; conducting estimates for differential equation models of social phe- nomena; avoiding bias in estimates of rates from retrospective questions; developing estimates of network time series from archival records; blocking sociometric data with CONCOR and related methods; and using statistical inference and statistical power in applications of the generai linear model. "Sociological Methodology" 1977, eighth in a series sponsored by the American Sociologica! Association, offers researchers Solutions to a variety of problems encountered in longitudinal data analysis and promotes more productive use of overtime data. It marks a significant shift in the orientation of sociological methodologists toward longitudinal data.

Abstract/Sommario: Local structure in social networks - Comparing causal models - The relationship between modified - Analyzing contingency tables with linear flow graphs: D systems - A prediction-logic approach to causal models of qualitative variates - Effects of grouping on measures of ordinal association - Can we find a genuine ordinal slope analogue? - Using assumptions of linearity to establish a metric - Monotonic regression analysis for ordinal variables - Causal models with nominal and ordinal d ...; [Leggi tutto...] Local structure in social networks - Comparing causal models - The relationship between modified - Analyzing contingency tables with linear flow graphs: D systems - A prediction-logic approach to causal models of qualitative variates - Effects of grouping on measures of ordinal association - Can we find a genuine ordinal slope analogue? - Using assumptions of linearity to establish a metric - Monotonic regression analysis for ordinal variables - Causal models with nominal and ordinal data: retrospective - Rank-sum comparisons between groups.

Abstract/Sommario: Some issues in sociological measurement - Theta reliability and factor scaling - Construction of composite measures by the canonical-factor-regression method - Approaches to the interpretation of relationships in the multitrait-multimethod matrix - Inferring validity from the multitrait-multimethod matrix: another assessment - Correlation of ratios or difference scores having common terms - Alternative approaches to analysis-of-variance tables - Hierarchical models for significance tes ...; [Leggi tutto...] Some issues in sociological measurement - Theta reliability and factor scaling - Construction of composite measures by the canonical-factor-regression method - Approaches to the interpretation of relationships in the multitrait-multimethod matrix - Inferring validity from the multitrait-multimethod matrix: another assessment - Correlation of ratios or difference scores having common terms - Alternative approaches to analysis-of-variance tables - Hierarchical models for significance tests in multivariate contingency tables: an exegesis of Goodman's recent papers - Questions about attitude survet questions - Problems of statistical estimation and causal inference in time-series regression models - Spectral analysis and the study of social change - Social mobility models for heterogeneous populations.

Abstract/Sommario: Toward the integration of content analysis and general methodology - Cluster analysis - Scaling replicated conditional rank-order data - Method for classifying interval-scale and ordinal-scale data - Multiple indicators and the relationship between abstract variables.

Abstract/Sommario: Strategies for meaningful comparison - Unmeasured variables in linear models for panel analysis - Polythetic reduction of monothetic property space - The generation of confidence: evaluating research findings by random subsample replication - Technique for analyzing overlapping memberships - Retest of a measurement model - Using monotone regression to estimate a correlation coefficient.

Abstract/Sommario: Classical and neoclassical approaches - J. E. Meade: an eclectic approach to neoclassical growth - J. Tobin: marginal productivity, money and growth - R. M. Solow: rate of profit and return on investment - Samuelson and Modigliani: the unseemly paradox - Keynes and Kalecki: the forerunners - R. F. Harrod: methodology and dynamic growth - N. Kaldor: growth and technical progress - L. L. Pasinetti: when workers save - Joan Robinson: the rate of profit, distribution and accumulation - Key ...; [Leggi tutto...] Classical and neoclassical approaches - J. E. Meade: an eclectic approach to neoclassical growth - J. Tobin: marginal productivity, money and growth - R. M. Solow: rate of profit and return on investment - Samuelson and Modigliani: the unseemly paradox - Keynes and Kalecki: the forerunners - R. F. Harrod: methodology and dynamic growth - N. Kaldor: growth and technical progress - L. L. Pasinetti: when workers save - Joan Robinson: the rate of profit, distribution and accumulation - Keynesian models: the generality of the assumptions - Appendices.

Abstract/Sommario: Prologue: the current status of methodology in sociology - Path analysis, causal inferences, and the measurement of change - General papers - Shorter papers and notes.