Titlebook: ;

準(zhǔn)則

DEBT

Coding the Data,cities of data analysis. Coding is one way of organising dense data and making sense of it, for instance by identifying patterns. Whilst there exist various approaches to coding, this chapter presents a set of strategies to code dense interview, ethnographic and document data. Additionally, we prese

不在灌木叢中

Interpreting the Data,uestions. Interpreting the data is a crucial step in the qualitative research process—it is core to qualitative data analysis. Hence, the volume dedicates a whole chapter to it. This Chapter presents key methodological steps and strategies to interpret the data for the purpose of individual studies

decode

領(lǐng)帶

Set up: The European Parliament,l of informality in the parliamentary work of the European Parliament and highlights the contributions qualitative research makes to a field still largely dominated by quantitative research. The study of everyday dynamics and informal practices reinforces the importance of utilising a qualitative to

bile648

muffler

How Was the Data Gathered? Doing Research Interviews and Ethnography,l dialogues and shared experiences. However, the intense schedule and overlapping meetings made it challenging to secure interviews. Finally, the impact of Covid-19 on how the interviews were conducted and how the European Parliament operated, in general, is also discussed.

acclimate

Coding the Data,h Atlas.ti, and presents an overview of the advantages of some tools, such as creating code families, to make sense of the data. Throughout the chapter, we discuss the collaborative nature of our coding work by reviewing the pros and cons and by examining issues pertaining to intercoder reliability.

發(fā)怨言

Affluence

Conclusions,ive and institutional powers as well as future crises inevitably bringing issues in terms of research topics and access. Finally, we stress the informality of many procedures, practices and mechanisms we witnessed and discuss its meaning for transparency and democracy.