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Correlations Between the Physical and Social Sciences

Autor Valentine J. Belfiglio
en Limba Engleză Paperback – 23 noi 2011
This monograph presents four case studies that make correlations between the physical and social sciences. The traditional, empirical, and postmodernist approaches to the study of the social sciences have left many scholars dissatisfied with the results of these methods. The empiricists were on the right track, but they did not go far enough. It is important to anchor statistical data to mathematical formulae or the laws of physics in order to minimize the conscious or unconscious bias of some scholars, who might otherwise manipulate data in support of preconceived notions. Mathematical formulae and the laws of physics can take scholars further in deriving conclusions from sets of assumptions than can inferential statistics. The use of inferential statistics in the social sciences is sufficiently regular that correlations from some mathematical formulae and physical laws prove valid.
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Specificații

ISBN-13: 9780761855897
ISBN-10: 0761855890
Pagini: 76
Dimensiuni: 156 x 228 x 5 mm
Greutate: 0.1 kg
Editura: Bloomsbury Publishing
Colecția University Press of America
Locul publicării:New York, United States

Cuprins

Dedication
Acknowledgment
Introduction

Chapter I:
Exogamous and Endogamous Marriages Among Italians and Mexicans in Dallas County, Texas (2000)
Chapter II:
The Mirror Image: A Correlation between the Physical and Social Sciences
Chapter III:
Major American Military conflicts and the Formulae for
Empirical and Subjective Probabilities
Chapter IV:
Radioactive Decay and the Rate of Decline of Empires

Conclusion
Appendix

Recenzii

Correlations Between the Physical and Social Sciences by Valentine J. Belfiglio presents four case studies that make correlations between the physical and social sciences, stressing it is important to anchor statistical data to mathematical formulae or the laws of physics to minimize the conscious and unconscious bias of some scholars who might otherwise manipulate data in support of preconceived notions.