"In the Interest of Others" develops a new theory of organizational leadership and governance to explain why some organizations expand their scope of action in ways that do not benefit their members directly. John Ahlquist and Margaret Levi document eighty years of such activism by the International Longshore and Warehouse Union in the United States and the Waterside Workers Federation in Australia. They systematically compare the ILWU and WWF to the Teamsters and the International Longshoremen's Association, two American transport industry labor unions that actively discouraged the pursuit of political causes unrelated to their own economic interests.

Drawing on a wealth of original data, Ahlquist and Levi show how activist organizations can profoundly transform the views of members about their political efficacy and the collective actions they are willing to contemplate. They find that leaders who ask for support of projects without obvious material benefits must first demonstrate their ability to deliver the goods and services members expect. These leaders must also build governance institutions that coordinate expectations about their objectives and the behavior of members.

"In the Interest of Others" reveals how activist labor unions expand the community of fate and provoke preferences that transcend the private interests of individual members. Ahlquist and Levi then extend this logic to other membership organizations, including religious groups, political parties, and the state itself.

"In the Interest of Others" develops a new theory of organizational leadership and governance to explain why some organizations expand their scope of action in ways that do not benefit their members directly. John Ahlquist and Margaret Levi document eighty years of such activism by the International Longshore and Warehouse Union in the United States and the Waterside Workers Federation in Australia. They systematically compare the ILWU and WWF to the Teamsters and the International Longshoremen's Association, two American transport industry labor unions that actively discouraged the pursuit of political causes unrelated to their own economic interests.

Drawing on a wealth of original data, Ahlquist and Levi show how activist organizations can profoundly transform the views of members about their political efficacy and the collective actions they are willing to contemplate. They find that leaders who ask for support of projects without obvious material benefits must first demonstrate their ability to deliver the goods and services members expect. These leaders must also build governance institutions that coordinate expectations about their objectives and the behavior of members.

"In the Interest of Others" reveals how activist labor unions expand the community of fate and provoke preferences that transcend the private interests of individual members. Ahlquist and Levi then extend this logic to other membership organizations, including religious groups, political parties, and the state itself.

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.

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.