Making social sciences more scientific : the need for predictive models / Rein Taagepera.
| Author/creator | Taagepera, Rein |
| Format | Book |
| Publication Info | Oxford ; New York : Oxford University Press, 2008. |
| Description | xv, 254 pages : illustrations ; 25 cm |
| Subjects |
| Contents | 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. |
| Bibliography note | Includes bibliographical references (p. [241]-247) and index. |
| LCCN | 2008015441 |
| ISBN | 9780199534661 |
| ISBN | 0199534667 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Joyner | General Stacks | H 62 .T22 2008 | ✔ Available | Place Hold |