4.5. Three ways to analyse qualitative data
4.5.1 An analysis with (predefined) themes: a deductive approach
Adapted from Paillé and Muchielli , 2011.
The thematic analysis is a process to reduce data. It is not a deep analysis, but rather to describe the topic(s) appearing in the corpus. “Thematization” is a preliminary step in all types of analysis of qualitative data. It consists of transposing the corpus into a number of themes issued from the analyzed content and according to the problematic.
A first step is the location, i.e. the listing of all the themes pertinent for the research question. The second step is to document it: identify the importance of specific themes, repetitions, crosschecks, what goes together, what goes opposite…
What is a theme?
Adapted from Paillé and Muchielli , 2011.
In a thematic analysis, the analyst will search to identify and organize themes in the corpus. We will call this process the ‘Thematization’ of the corpus. This is a set of words aiming to identify what is covered in the corresponding extract of the corpus text, while providing guidance on the substance of what is said. The extract of the text is called ‘a unit of signification’, i.e. sentence(s) linked to a similar idea, topic or theme. Inference is the transformation of the unit of signification to themes.
How to define and assign pertinent themes?
Adapted from Paillé and Muchielli , 2011.
The definition of the themes depends on the framework of the research and the expected level of generality or inference.
Indeed, the analysis will be carried out in a specific framework, i.e. the aim of the research, and with a certain orientation and some presuppositions. These are directly linked to the data collection and the position of the analyst.
The definition of the themes will depend on the data collection:
Once a researcher is ready to launch the Thematization, (s)he has already done many steps: (s)he has defined the problem(s), focused the study, defined objectives, prepared the data collection, written the interview guide, has interacted with participants and perhaps reoriented or redefined new avenues for the research. Many sources have thus already oriented the work and should be highlighted and explained once again before the start of the analysis. For example, Thematization will not be the same if you search for “representations” than if you search for “strategies”, if you analyze psychological responses or social environment, etc.
The definition of the themes will depend on the position of the researcher
Each analyst has some theoretical background, due to his/her training, previous researches, theoretical knowledge, etc. These elements will influence the way they will read, analyze and therefore chose themes to be applied to the corpus. On one hand, (s)he will have a certain level of sensibility that will increase throughout readings, experience of research and reasoning. This level will also improve during the analysis of the corpus itself. On the other hand, s(he) will improve his/her theoretical capacities with new concepts, models, etc.
To process to the analysis, it is important to clearly delimited the theme and label it with a precise formulation. It is easier to begin with a low level of inference, i.e. to be as close as possible of the text or the interview but not to reproduce the verbatim. Interpretation, theorization or making the essence of an experience emerging are not the objectives of a thematic analysis. It is a list and a synthesis of the relevant themes appearing in a corpus.
The risk to end with different themes according to different analyst is not excluded at all and even natural and foreseeable. However it will be limited if everyone adopt the same position with the same goal, i.e. Thematization, and nothing else.
The inference will be done following the next reasoning: because the presence of this or this element or indication in the extract, it is possible to assign it the theme “X”. It is not because a theme appears only once that it is not important.
The thematic tree
The thematic analysis will build a thematic tree.
It is a synthetic and structured representation of the analyzed content. Themes are regrouped in main themes subdivided by subsidiary themes and sub-themes in a schematic way.
Technical aspects in the coding
Adapted from Paillé and Muchielli , 2011.
In order to process a thematic analysis, technical choices should be done:
a) The nature of the support : paper or (specialized) software [see further ADD CROSSREF]
b) The mode of the annotation of the themes (linked to the choice of the software):
Here are the commonly used:
- Annotation in the margin
- Annotation inserted (up to the extract/ color code)
- Annotations on files one per theme where the source (e.g. interview A) and the extract (e.g. line 12-29) are written. There is thus no annotation in the text.
The best choice for the type of annotation is very personnal. One should aim to combine ease of use and efficacy.
c) The type of treatment: continuously or sequential.
- The continuous Thematization:
Themes are given as the reading of the text and the thematic tree is built in parallel progressively, with fusion, regrouping, hierarchical classification…until a final tree at the end of the research. This process offer an accurate and rich analysis. But it is complex and time expensive. It is more adapted for a small corpus and more personnalized Thematization. - The sequential Thematization:
The analysis is more hypotetico-deductive and is done in two steps:
1) Themes are elaborated based on a sample of the corpus and listed. To each theme correspond a clear definition. A hierarchy could already be proposed or not
2) The list is then strictly applied to the whole corpus, with the possibility to add a limited number of new themes.
This type of analysis is more effective but goes less in depth. It is however more appropriate for an analysis in team.
To go further in the practical aspect of thematic analysis
Paillé P, Mucchielli A. L'analyse qualitative en sciences humaines et sociales. 2ème ed. Paris: Armand Colin; 2011.
4.5.2 Framework analysis
Adapted from Spencer L, Ritchie J, O'connor W, G. M, Ormston R. Analysis in practice. In: Ritchie J, Lewis J, McNaughton Nicholls C, Ormston R, editors. Qualitative research practice. London: Natcen, Sage; 2014. p. 295-345.
In the framework analysis data will be sifted, charted and sorted in accordance with key issues and themes (Srivastava et al. 2009). The analytical journey using this approach could be simply described as:
- Familiarization
- Constructing the initial framework
- Indexing
- Charting
- Abstraction and interpretation
The familiarization is the same as explained previously [add crossref]. In this approach, it is the occasion to identify topics or issues of interest, recurrent across the data and relevant for the research question, taking thus into account the aims of the study and the subjects contained in the topic guide.
The construction of an initial thematic framework can begin once the list of topics has been reviewed. This step aims to organize the data. The analyst will identify underlying ideas or themes related to particular items. (s)He will use these to group and sort the items according to different levels of generality, building a hierarchical arrangement of themes and subthemes. It results in a sort of table of content of what could be found in the corpus. These themes or issues “may have arisen from a priori themes (…) however it is at this stage that the researcher must allow the data to dictate the themes and issues”. “Although the researcher may have a set of a priori issues, it is important to maintain an open mind and not force the data to fit the a priori issues. However since the research was designed around a priori issues it is most likely that these issues will guide the thematic framework. Ritchie and Spencer stress that the thematic framework is only tentative and there are further chances of refining it at subsequent stages of analysis (1994).” (Srivastava et al. 2009, p.76).
The next step consists of indexing the data, i.e. labelling sections of the corpus according to the thematic framework. This could be done by annotation in the margin of the transcript.
The fourth stage consist of charting: the indexed data are arranged in charts of themes. One chart is built for each theme. Subthemes are headings of the columns while each row represent an interview, transcript or unit of analysis. The content of each cell is a summary of the section of the corpus related to the subtheme.
To write useful summaries, “the general principle should be to include enough details and context so that the analyst is not required to go back to the transcribed data to understand the point being made, but not include so much that the matrices become full of undigested material (…)”. (Spencer et al. 2014b, p 309)
Spencer et al identified 3 requirements essential in order to retain the essence of the original material (Spencer et al. 2014b, p 309).
- Key terms phrases or expressions should be taken as much as possible from the participant’s own language;
- Interpretation should be kept to a minimum at this stage;
- Material should not be dismissed as irrelevant just because its inclusion is not immediately clear.
The last step is the mapping and interpretation. Spencer et al. advice to take the time to do this, have a break, read through the management of the data, etc.
In this phase, concept, categories could be developed. Linkage between them could be described and explanations and patterns could be raised. This could even be performed by a theorizing deduction. The category is issued of a theoretical preexisting referent. The categories exist because a former analysis of the problematic has already been carried out. (Paillé and Muchielli. 2011). In the framework analysis, the main categorical analysis grid is preexisting. This could be because the research object is already well studied, because of the research is commissioned by an institution or because the research is spread through different teams in different locations (Paillé and Muchielli. 2011).
Nivivo [add cross ref] could be very helpful in the management of the data and creation of the matrix when using the Framework approach.
4.5.3 An analysis with conceptualizing categories: an inductive approach
Adapted from Paillé and Muchielli , 2011.
The analysis by conceptualizing categories allows a more in depth analysis. It is more than only the identification of themes, without a link between the annotation of the corpus and the conceptualizing of the data. It is more than a synthesis of the material. It includes an intention to analyze, to reach the meaning and use then a type of annotation reflecting the comprehension made by the analyst.
What is a category?
Adapted from Paillé and Muchielli , 2011.
A category is a textual production, under the form of a brief expression and allowing to name a phenomenon through a conceptual reading of the corpus. A category responds to “Given my problematic, what is this phenomenon?”, “how can I name this phenomenon conceptually?”
A category belongs to a set of categories, and makes sense in regarding the other categories. It is a matter of relationships between categories. A category is for the analyst an attempt to comprehend, while for the reader it is an access to the meaning. It encompasses the evocation of what is said but is also conceptually rich. It induces a precise mental image of a dynamic or a sequence of events.
The intellectual process of the categorization
Adapted from Paillé and Muchielli , 2011.
Three types of processes could be implied in the categorization: an analytic description, an interpretative deduction and a theorizing induction. But in practice these distinctions will progressively blur. The analytic description is a first step, closer to the text and is a preliminary descriptive work.
As for the thematic coding, it is important to search for the right level or the right context. Here also it depends on the position of the researcher and the context of the research.
For the technical aspects of the coding, we proposed to read and apply the considerations proposed for the thematic coding.
Data analysis in Grounded Theory
Key to grounded theory is the idea that the researcher builds theories from empirical data. Strauss and Corbin (Strauss and Corbin 1998) define theory as “a set of well-developed concepts related through statements of relationship, which together constitute an integrated framework that can be used to explain or predict phenomena” (p. 51). The aim is to produce general statements based on specific cases (analytic induction). Essential is that the insights emerge from the data. It is a theorizing induction process. Other core features are the cyclic approach and the constant comparison.
The cyclic approach is already apparent during data collection, but also in data analysis. Data collection is followed by preliminary data analysis, which is followed by new data collection etc. After each analytic phase, the topic list is adapted and information is collected in a more directed way. The researcher tries to fill in blind spots in his analysis and the testing of hypotheses. Hence, data analysis is generally expected to be an iterative process. Especially in the grounded theory approach constant comparative analysis is emphasized. This means that overall data collection and data-analysis are not organized in a strict sequential way. Constant comparative analysis is a process whereby data collection and data analysis occur on an ongoing basis. The interview is transcribed and analyzed as soon as possible, preferably before the next interview takes place. Any interesting finding is documented and incorporated into the next interview. The process is repeated with each interview until saturation is reached. As a result it could be possible that the initial interviews in a research project differ a lot from the later interviews as the interview schedule is continuously adapted and revised. For this reason researchers have to clarify and document on how structured or unstructured their data-collection method is and keep memos of the process. Notes and observations made at the time of the interview are re-examined, challenged, amended, and/or confirmed using transcribed audio or video tapes. One expects that all members of the research team participate in a review of the final interpretation, in which data and analysis are again re-examined, analyzed, evaluated, and confirmed. The use of more than one analyst can improve the consistency or reliability of analyses.
Within the analysis the cyclic character is also evident from the constant comparison: the researcher tries to falsify his findings through the integration of new data and see whether the theory holds. Data is broken down in small parts (coding), in order to rebuild by identifying relationships between parts.
The analytic process of breaking down and rebuilding data in grounded theory happens in several steps:
- Open coding
the identification of an initial set of themes or categories (called codes[1]). “The analytic process through which concepts are identified and their properties and dimensions are discovered” (Strauss and Corbin 1998, p. 101). In this stage the data is divided into bits of text, which are given a label. This means the researcher isolates meaningful parts relevant to answer the research question.[see before]
- Axial coding
This is a way of refining the initial codes. “The process of relating categories to their subcategories termed “axial” because coding occurs around the axis of a category, linking categories at the level of properties and dimensions” (Strauss and Corbin 1998, p. 123). Open coding results in a long list of separate codes. During axial coding all these loose ends are connected. This way concepts are identified.
- Selective coding
This is the movement towards “the development of analytical categories by incorporating more abstract and theoretically based elements” (Pope and Mays, p. 71). “The process of integration and refining the theory” (Strauss and Corbin 1998, p. 143). During this third and last step in the analytic process concepts are linked, a theory is built. Often a theory is build around one central concept (category of codes).
During the coding process data has been reduced to meaningful conceptualizing categories. Nvivo (see XXX) offers several (visualization) tools (e.g. circle diagrams, charts, matrixes) to discover relations between categories.
[1] In the literature about Grounded Theory ‘codes’ is mostly used but they correspond to what we called ‘conceptualizing categories ‘ before [Add crossref]