Buch, Englisch, 224 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 377 g
The Mathematization of the Human Sciences
Buch, Englisch, 224 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 377 g
ISBN: 978-0-7619-0922-4
Verlag: Sage Publications
Undeniably, the amount of "human information" in our culture has increased by leaps and bounds. How that information is used has profound implications on the way we live as a society. At the same time, the discussion of values, norms, and purpose is often missing from the discourse of social research especially by those who work within the positivist framework. Authors James Bradley and Kurt Schaefer develop principles to guide the use of data and models in the human sciences. Writing as scholars who are at home with empirical and mathematical social science, yet taking seriously the critiques of this heritage, the authors propose ways of developing norms without becoming radically subjective. The Uses and Misuses of Data and Models argues eloquently that norms, values, and purpose need to become part of the common discourse of researchers, with more ethical and socially responsible research the result. The Uses and Misuses of Data and Models is an intriguing and thought-provoking book that will be of great interest to anyone involved in the enterprise of social research.
Autoren/Hrsg.
Fachgebiete
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Demographie, Demoskopie
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
Weitere Infos & Material
PART ONE: FOUNDATIONS Oracles, Norms and Science Modeling Dreams and Disappointments PART TWO: THE INFORMATION CYCLE A Priori Influences on the Information Cycle Measurement of Human Information Limitations of Measurement in the Social Sciences Information for Inferences What Are Social Science Data? Causality Models and Policy Making
