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.