http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
1 online resource (xv, 254 pages) : illustrations
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 quantitativelyformulated logical models are predictive in an explanatory way. Why Social Sciences Are Not Scientific Enough contr.
Why social sciences are not scientific enough -- Can social science approaches find the law of gravitation? -- How to construct predictive models: simplicity and nonabsurdity -- Example of model building: electoral volatility -- Physicists multiply, social scientists add---even when it does not add up -- All hypotheses are not created equal -- Why most numbers published in social sciences are dead on arrival -- Forbidden areas and anchor points -- Geometric means and lognormal distributions -- Example of interlocking models : party sizes and cabinet duration -- Beyond constraint-based models : communication channels and growth rates -- Why we should shift to symmetric regression -- All indices are not created equal -- From descriptive to predictive approaches -- Recommendations for better regression -- Converting from descriptive analysis to predictive models -- Are electoral studies a rosetta stone for parts of social sciences? -- Beyond regression : the need for predictive models.
Includes bibliographical references (pages 241-247) and index.
Oxford ; New York : Oxford University Press, 2008