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Complexity Theory and the Social Sciences

, 2022
This expanded and updated edition of Complexity Theory and the Social Sciences: The State of the Art revisits the use of complexity theory across the social sciences and demonstrates how complexity informs approaches to various contemporary issues in the
D. Byrne
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Text as Data: A New Framework for Machine Learning and the Social Sciences

Contemporary Sociology, 2023
At its most fundamental, ‘‘social science is the process of creating generalizable knowledge that explains or predicts societal patterns’’ (p. 264). Text as Data: A New Framework for Machine Learning and the Social Sciences seeks to provide readers with ...
K. Freeman
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Nonparametric Statistics for the Behavioral Sciences

The SAGE Encyclopedia of Research Design, 2022
diabetes statistics cdc glucagon megaroll.infoCorn oil, but not cocaine, is a more effective reinforcer Data Analysis of Students Marks with Descriptive StatisticsFriedman test WikipediaDownload Free any eBook PDF, Epub, Tuebl and MobiStatistics (STAT)
Donald Bren, E. J. Tchetgen
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The Reviewer’s Guide to Quantitative Methods in the Social Sciences

, 2018
The Reviewer’s Guide to Quantitative Methods in the Social Sciences is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond.
G. Hancock, R. Mueller, Laura M. Stapleton   +2 more
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Measurement Theory and Applications for the Social Sciences

Measurement: Interdisciplinary Research and Perspectives, 2019
Measurement theory and application is becoming increasingly normative across the social sciences. Bandalos (2018) reflects this growth and provides both the new and experienced methodologist with a clear understanding of the important concepts within ...
R. Gagnon
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Quantitative social science

Physica Scripta, 1987
Summary: General concepts for the quantitative description of the dynamics of social processes are introduced. They allow for embedding social science into the conceptual framework of synergetics. Equations of motion for the socioconfiguration are derived on the stochastic and quasideterministic level.
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Computational social science

WIREs Computational Statistics, 2010
AbstractThe social sciences investigate human and social dynamics and organization at all levels of analysis (consilience), including cognition, decision making, behavior, groups, organizations, societies, and the world system. Computational social science is the integrated, interdisciplinary pursuit of social inquiry with emphasis on information ...
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Documentary Research in the Social Sciences

, 2019
From diaries and letters to surveys and interview transcripts, documents are a cornerstone of social science research. This book guides you through the documentary research process, from choosing the best research design, through data collection and ...
Malcolm Tight
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Computational social science ≠ computer science + social data

Communications of the ACM, 2018
The important intersection of computer science and social science.
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Méthodologie des sciences sociales / Social science methodology

Social Science Information, 1975
This bibliography has been prepa red by the Service d'Échange d'In formations Scientifiques of the Maison des Sciences de l'Homme in Paris, under the editorship of Mrs. Marie-France Essyad. It is consecutive to the bibliography published in volume 13 (4/5), Oc tober 1974.
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