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The SAGE Handbook of Qualitative Data Analysis Uwe Flick 00-Flick-Prelims.indd 5 29-Oct-13 2:00:39 PM 1 Mapping the Field Uwe Flick Data analysis is the central step in qualitative for analysing qualitative data before we research. Whatever the data are, it is their consider the expansion of the phenomena analysis that, in a decisive way, forms the and data available for analysis. The dimen- outcomes of the research. Sometimes, data sions demarcating the proliferation of quali- collection is limited to recording and docu- tative research and, especially, qualitative menting naturally occurring phenomena, for data analysis will be discussed here and example by recording interactions. Then unfolded in more detail in the individual chap- qualitative research is concentrated on ana- ters. After a definition of qualitative data anal- lysing such recordings. Given the centrality ysis the major aims of qualitative data analysis of the analysis in qualitative research, in will be outlined – such as reducing big data general, a kind of stocktaking of the various sets to core elements or expanding small approaches to qualitative analysis and of the pieces of data by adding extensive interpreta- challenges it faces seems necessary. Anyone tions. Discussing some theoretical back- interested in the current state and develop- grounds and basic methodological approaches ment of qualitative data analysis will find a will complement this sketch of the field. field which is constantly growing and becom- As the first axis, a historical line will be ing less structured. There are many changes drawn, which intersects a second axis con- which have evolved in parallel, making the cerning geographical diversity, which is field even more complex than it used to be. sometimes ignored. In the next step, we will This introductory chapter aims to map the look at the role of data analysis in the research field of qualitative data analysis by discuss- process. Another axis is linked to the differ- ing its extension and by drawing a number of ence between producing new data and taking axes through the field that the handbook will existing, naturally occurring data for a research cover in its chapters. We will look at the cur- project. A further distinction is related to the rent variety of traditional and new methods major approaches to analysing data – either 01-Flick_Ch-01 Part I.indd 3 29-Oct-13 2:00:43 PM 4 MAPPING THE FIELD to reduce the volume or the complexity of the These developments have led to an inter- data, or to expand the existing material by esting gap, which forms a second level of writing new texts consisting of interpreta- proliferation: a variety of methods and tions about it. The rather simple relation of approaches for data analysis have been one kind of data to be analysed with one developed and spelled out in the methodol- methodological approach has become more ogy literature mainly in the original disci- complex at both ends when triangulation is plines. The range stretches from content part of the methodology of a project. What analysis to conversation analysis, from are the consequences for the analysis if mul- grounded theory to phenomenological analy- tiple types of data are employed? What sis, from narrative to film analysis, from becomes ‘visible’ if several forms of analysis visual data analysis to electronic data analy- are applied to the same set of data? Another sis, etc. (see the respective chapters in this axis through the field is linked to the tension volume). However, experience with review- between formalization and intuition in the ing articles and PhD and other theses from analysis. At the end of this chapter, some different disciplines shows how often the new trends and developments in the field will analysis of qualitative data is done in more or be outlined. Here, new types of data, a trend less a ‘hands-on’ way in both the original and to visualization and developments on the the other disciplines. Researchers sometimes level of technological support for doing the ‘just do it’ (to use a phrase of Barney Glaser, analysis will be discussed. Qualitative 1998) or they look for certain topics in their research is more and more confronted with materials and construct an account of their some new challenges – how to make data findings by illustrating these topics with available for re- and meta-analysis; what do ‘interesting’ quotations from interviews, for the calls for relevance and implementation example. These quotes are often not really mean in this context; and what are the ethical analysed in the article (or PhD dissertation) issues around qualitative data analysis? After but treated as illustrations. Another way of briefly discussing these issues, an overview describing (and doing) qualitative data anal- of the handbook and its parts and chapters ysis is to mix up tools with methods. Articles will complete this introduction. in which the method of data analysis is described by only referring to the Qualitative Data Analysis (QDA) program (see Gibbs, PROLIFERATION OF QUALITATIVE Chapter 19, this volume) that was applied are RESEARCH still quite common. All in all, this means that there is a gap between methodological devel- Over the past few decades, qualitative opments on one side and research practice on research has undergone a proliferation on at the other. This gap results from the lack of a least three levels. First, it has established systematic and comparative overview and itself in a wide range of disciplines beyond stocktaking of the variety of analytic proce- such disciplines as sociology, anthropology dures that are available for doing qualitative and education. We find qualitative research data analysis. This handbook intends to now in such varied fields as nursing, medi- bridge this gap by giving an overview of cine, social work, psychology, information methodological approaches with a strong science, political science, and the like. focus on research practice in applying them Even if in many of these disciplines quali- to data and emphasizes the practical applica- tative research is not in the mainstream of tion of methods rather than their conceptual research and not at the core of methods development. training or teaching in general, ongoing Qualitative research has undergone a research increasingly includes qualitative third major proliferation over the past few studies. decades, which concerns the types of 01-Flick_Ch-01 Part I.indd 4 29-Oct-13 2:00:43 PM Mapping the Field 5 data that are used. Interviews, focus group project. The handbook intends to cover the transcripts and observation protocols are variety of approaches starting from the traditional types of data, which are now diversity of types of data that are used in complemented with visual, virtual, textual, qualitative research. acoustic and other data. These forms of data represent the diversification of ways of WHAT IS QUALITATIVE DATA communication and documentation of indi- vidual and social experiences. At the same ANALYSIS? time, methods for producing these data have proliferated as well and new devices The central focus of this book is the variety for recording activities and processes in and diversity of the ways of doing qualitative their complexity have been developed. data analysis. Therefore it might be helpful Video taping, acoustic recording devices, first to outline the common core of this prac- Internet formats like Facebook, etc., are tice by (1) giving a working definition, adopted to catch relevant aspects of the life followed by (2) discussing the aims of quali- worlds in the twenty-first century. How- tative data analysis and finally by (3) looking ever, this proliferation of issues to be ana- at theoretical backgrounds and basic meth- lysed and of data produced and available odological approaches. has not always been accompanied by a systematic and adequate proliferation of Definition approaches for analysing such qualitative data. The methods that are used are often In Box 1.1 a rather general definition of traditional ones (e.g. grounded theory, qualitative data analysis is outlined which coding, content analysis) or are developed emphasizes the move from data to meanings but mostly applied hands-on for the single or representations. Box 1.1 What Is Qualitative Data Analysis? Qualitative data analysis is the classification and interpretation of linguistic (or visual) material to make statements about implicit and explicit dimensions and structures of meaning-making in the material and what is represented in it. Meaning-making can refer to subjective or social meanings. Qualitative data analysis also is applied to discover and describe issues in the field or structures and processes in routines and practices. Often, qualitative data analysis combines approaches of a rough analysis of the material (overviews, condensation, summaries) with approaches of a detailed analysis (elaboration of categories, hermeneutic interpretations or identified structures). The final aim is often to arrive at generalizable statements by comparing various materials or various texts or several cases. Aims of Qualitative Data Analysis diagnosis). This can focus on the case (indi- vidual or group) and its special features and The analysis of qualitative data can have the links between them. The analysis can also several aims. The first aim may be to describe focus on comparing several cases (individu- a phenomenon in some or greater detail. The als or groups) and on what they have in com- phenomenon can be the subjective experi- mon or on the differences between them. The ences of a specific individual or group (e.g. second aim may be to identify the conditions the way people continue to live after a fatal on which such differences are based. This 01-Flick_Ch-01 Part I.indd 5 29-Oct-13 2:00:44 PM
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