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Methodological Practices in Social Movements Research

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ema<strong>in</strong> to be solved.<br />

Chapter 12. Protest events analysis and its off-spr<strong>in</strong>gs, by Swen Hutter (Cosmos and EUI)<br />

Protest event analysis (PEA), as a form of quantitative content analysis, has become a key<br />

method of social movement research dur<strong>in</strong>g the last decades. In contrast to most other<br />

methods presented <strong>in</strong> this volume, PEA is a key methodological <strong>in</strong>novation that emerged<br />

with<strong>in</strong> the social movement field and has more recently been adapted and ref<strong>in</strong>ed to study<br />

other research topics. This chapter starts by briefly summariz<strong>in</strong>g four generations of PEA<br />

research: the history ranges from the <strong>in</strong>itiators <strong>in</strong> the 1960s to the latest generation that has<br />

shifted from protest events to alternative cod<strong>in</strong>g units by either cover<strong>in</strong>g a broader set of units<br />

(e.g., political claims) or by disentangl<strong>in</strong>g s<strong>in</strong>gle events. While this part highlights the wide<br />

range of questions that can be addressed by PEA and its offspr<strong>in</strong>g, the ma<strong>in</strong> part of the<br />

chapter is devoted to the ‘how to do’ questions: mov<strong>in</strong>g from data collection to data analysis.<br />

Amongst others, it discusses the ma<strong>in</strong> questions faced by any scholar who wants to conduct a<br />

PEA when it comes to the cod<strong>in</strong>g unit, the sampl<strong>in</strong>g unit, and the cod<strong>in</strong>g process. Overall, the<br />

chapter underscores that PEA is (still) a very powerful and flexible tool for social research.<br />

However, every scholar needs to make fundamental decisions that are based on both research<br />

<strong>in</strong>terests and more pragmatic considerations.<br />

Chapter 13. <strong>Social</strong> Network Analysis, by Manuela Caiani (Cosmos and Universidad Carlo III,<br />

Madrid)<br />

<strong>Social</strong> network analysis has been considered as particularly <strong>in</strong>terest<strong>in</strong>g for the study of social<br />

movements, which are networks whose formal characteristics have been referred to <strong>in</strong> the<br />

development of theories of collective behavior. Indeed, network analysis enables the<br />

researcher to emphasize the meso level of social analysis, fill<strong>in</strong>g the gap between structure<br />

and agency, and connect<strong>in</strong>g the micro and macro dimensions of social movements. This<br />

chapter aims at illustrat<strong>in</strong>g this method and offer<strong>in</strong>g empirical examples on how to apply<br />

social network analysis <strong>in</strong> social movement research. In the <strong>in</strong>troduction it will give an<br />

overview of the theoretical background of SNA, discuss<strong>in</strong>g the ma<strong>in</strong> characteristics, as well<br />

as the advantages and challenges of this approach. In the second section, the issues of the<br />

research design and conceptualization when adopt<strong>in</strong>g SNA will be discussed alongside the<br />

differences between social network data and the ‘conventional’ sociological data. In the third<br />

section the ma<strong>in</strong> dilemmas <strong>in</strong> the sampl<strong>in</strong>g and data collection will be addressed. F<strong>in</strong>ally,

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