This book demonstrates, via formal statements and empirical illustrations, that nonlinearities in social processes can be modeled systematically to create solutions with practical applications in the institutional forms of paid employment, schooling, and familial relations including marital and kinship ties and the rearing of children. It shows how social processes can be modeled accurately through analyzing time series data—specifically, a temporal sequence of process outcomes that is dense enough in observation time to support appropriate techniques of modeling the outcome sequence. The book illustrates techniques using minimal mathematical formalism which is explained also in careful narrative descriptions of the model logic.
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This book demonstrates, via formal statements and empirical illustrations, that nonlinearities in social processes can be modeled systematically to create solutions with practical applications in the institutional forms of paid employment, schooling, and familial relations including marital and kinship ties and the rearing of children.
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Introduction: Intentions, Actions, Institutions.- On the Arts of Modeling.- Modeling Aggregation Processes.- Applications to Work as Paid Employment.- Supplements and Bridges in the Meter of Time.
This book demonstrates, via formal statements and empirical illustrations, that nonlinearities in social processes can be modeled systematically to create solutions with practical applications in the institutional forms of paid employment, schooling, and familial relations including marital and kinship ties and the rearing of children. It shows how social processes can be modeled accurately through analyzing time series data—specifically, a temporal sequence of process outcomes that is dense enough in observation time to support appropriate techniques of modeling the outcome sequence. The book illustrates techniques using minimal mathematical formalism which is explained also in careful narrative descriptions of the model logic.
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Demonstrates empirically tested modeling methods for predicting and analyzing social processes Uses time series data to include social nonlinearities into models instead of dismissing them as 'noise' Creates solutions with practical applications in different social institutions
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Produktdetaljer

ISBN
9783031847776
Publisert
2025-04-30
Utgiver
Vendor
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet

Forfatter

Om bidragsyterne

Lawrence Hazelrigg is Professor Emeritus of Sociology at Florida State University, Tallahassee, Florida. His primary areas of specialization and interest are social theory and philosophy of social science.  He has had a long history of publishing books, chapters and articles from the 1960s. He published Prison within Society (1968) and, as co-author, Class, Conflict and Mobility (1972, 2005), Ending a Career in the Auto Industry (1996), and Pension Puzzles (2007). He has contributed to reference books such as the Encyclopedia of Sociology (on individualism) and Handbook of Data Analysis (on inference). He is best known for his trilogy, Social Science and the Challenge of Relativism, published by the University Press of Florida.  He also is an Associate Editor of Current Perspectives in Social Theory, and has co-edited two volumes that form a set (with Harry F. Dahms), Theorizing the Dynamics of Social Processes (vol. 27) and Theorizing Modern Society as a Dynamic Process (vol. 30).