Leseprobe
* Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.
Trust in Numbers
Theodore M. Porter
* Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.
Naturwissenschaften, Medizin, Informatik, Technik / Naturwissenschaften allgemein
Beschreibung
A foundational work on historical and social studies of quantification
What accounts for the prestige of quantitative methods? The usual answer is that quantification is desirable in social investigation as a result of its successes in science. Trust in Numbers questions whether such success in the study of stars, molecules, or cells should be an attractive model for research on human societies, and examines why the natural sciences are highly quantitative in the first place. Theodore Porter argues that a better understanding of the attractions of quantification in business, government, and social research brings a fresh perspective to its role in psychology, physics, and medicine. Quantitative rigor is not inherent in science but arises from political and social pressures, and objectivity derives its impetus from cultural contexts. In a new preface, the author sheds light on the current infatuation with quantitative methods, particularly at the intersection of science and bureaucracy.
Kundenbewertungen
Natural science, Career, Salary, Archives nationales (France), Positivism, Disadvantage, Pure mathematics, Scientific method, Writing, Bureaucrat, Distrust, Physicist, Scientist, Explanation, Institution, Science, Public utility, Subjectivity, Accounting, Engineering, Inference, Rhetoric, Political science, Theory, Calculation, Statistic, Elitism, Physician, Accountant, Life insurance, Psychology, Institute of Actuaries, Textbook, Philosopher, Experiment, Quantitative research, Measurement, Technology, Neoclassical economics, Uncertainty, Quantification (science), Quantity, Economist, Politics, Negotiation, Reason, Public Knowledge, Political economy, Actuary, Cost–benefit analysis, Employment, Consideration, Ideology, Credibility, Publication, Tax, Insider, Insurance, Statistics, Criticism, Political culture, Statistician, Prediction, Result, Phenomenon, Legislation, Mathematics, Economics, Probability, Social science