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  1. Home
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  3. Maximum Likelihood for Social Science
  • Cited by 44
Publisher:
Cambridge University Press
Online publication date:
November 2018
Print publication year:
2018
Online ISBN:
9781316888544
DOI:
https://doi.org/10.1017/9781316888544
Subjects:
Research Methods in Politics, Politics: General Interest, Research Methods in Sociology and Criminology, Research Methods In Sociology and Criminology, Politics and International Relations, Research Methods In Politics, Sociology
Series:
Analytical Methods for Social Research
Information

Book description

This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist focus on applied computation in R and use real social science data from actual, published research. Unique among books at this level, it develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical data as well as counts, duration data, and strategies for dealing with data missingness. By working through examples, math, and code, the authors build an understanding about the contexts in which maximum likelihood methods are useful and develop skills in translating mathematical statements into executable computer code. Readers will not only be taught to use likelihood-based tools and generate meaningful interpretations, but they will also acquire a solid foundation for continued study of more advanced statistical techniques.

Reviews

'… offer[s] an excellent text with the goal to introduce social scientists to the maximum likelihood principle in a practical way.'

M. Oromaner Source: Choice

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