
In his challenging new book Rein Taagepera argues that society needs more from social sciences than they have delivered. One reason for falling short is that social sciences have depended excessively on regression and other statistical approaches, neglecting logical model building. Science is not only about the empirical 'What is?' but also very much about the conceptual 'How should it be on logical grounds?' Statistical approaches are essentially descriptive, while quantitatively formulated logical models are predictive in an explanatory way. Why Social Sciences Are Not Scientific Enough contrasts the predominance of statistics in today's social sciences and predominance of quantitatively predictive logical models in physics. It shows how to construct predictive models and gives social science examples. Why Social Sciences Are Not Scientific Enough is useful to students who wish to learn the basics of the scientific method and to all those researchers who look for ways to do better social science.
The book investigates why the social sciences have failed to achieve the predictive power of the natural sciences and argues for a shift from purely descriptive statistical methods to the construction of quantitatively formulated logical models. Rein Taagepera, a political scientist known for his work in quantitative political science, draws on his extensive experience in modeling to critique the over-reliance on regression analysis. He posits that true scientific progress requires moving beyond empirical observation to develop models that explain the underlying logic of social phenomena, much like the predictive frameworks found in physics.
What You Will Find
Scope Limits
Experts and researchers often cite this work as a provocative critique of contemporary social science methodology. Readers frequently note that the prose is accessible to students while offering a challenging perspective for established academics seeking to improve the explanatory power of their research.
Page Count:
232
Publication Date:
2008-01-01
Publisher:
Oxford University Press
ISBN-10:
0191560030
ISBN-13:
9780191560033
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