In this video, we are going to unpack the sometimes slippery topic of narrative analysis. We will explain what it is consider its strengths and weaknesses and look at when and when not to use this analysis method. By the end of the video, you will have a clear overview of narrative analysis so that you can make well-informed decisions for your research project.
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So what exactly is a narrative analysis? Well simply put narrative analysis is a qualitative analysis method focused on interpreting individual human experiences and motivations by looking closely at the stories, the narratives people tell in a particular context. Narrative analysis can draw on various sources including interviews, monologues, written stories or even recordings.
In other words, it can be used on both primary and secondary data to provide evidence from the experiences described. Now that is all quite conceptual so let us look at an example of how narrative analysis could be used in practice. Let us say you are interested in researching the beliefs of a particular author on popular culture.
In that case, you might identify the characters, the plot lines, symbols and motifs used in the stories that they write. You could then use narrative analysis to analyse these factors in combination and against the backdrop of the relevant context. This would allow you to interpret the underlying meanings and implications in their writing and to pick apart what these reveal about the beliefs of the author.
In other words, you would look to understand the views and beliefs of the author by analysing the narratives that run through their work. Generally speaking, there are two approaches that one can take to narrative analysis. Specifically an inductive approach or a deductive approach.
The approach you take inductive or deductive will have a significant impact on how you interpret your data and the conclusions you can draw from it. So it is important that you understand the difference between these two approaches. First up is the inductive approach to narrative analysis.
This approach takes a bottom-up view allowing the data to speak for itself without the influence of any preconceived notions. With the inductive approach, you begin by looking at the data and deriving patterns and themes as opposed to viewing the data through the lens of pre-existing hypotheses, theories or frameworks. In other words, the analysis is led by the data.
For example, with an inductive approach, you might notice patterns or themes in the way an author presents their characters or develops their plot. You would then observe these patterns, develop an interpretation of what they might reveal within the context of the story and draw conclusions in relation to your research aims. Contrasted to this is the deductive approach.
With this approach, you begin by using existing theories or frameworks that a narrative can be tested against. Here the analysis adopts particular theoretical assumptions and or provides hypotheses and then looks for evidence in a story that will either verify or disprove them. For example, your analysis might begin with a theory that wealthy authors only tell stories to garner the sympathy of their readers.
Taking a deductive approach you might then look at the narratives of wealthy authors for evidence that will substantiate or refute your theory. You would then draw conclusions about the accuracy of the theory and suggest explanations for why that might be the case. So to recap a narrative analysis can be undertaken using either an inductive approach where you are letting the data speak for itself and taking a more exploratory view or you can take a deductive approach where you are testing your data against an existing theory and assessing its accuracy.
In other words, you are taking a more confirmatory view. Now that we have covered what narrative analysis is it is important to discuss the strengths and weaknesses of this analysis method so that you can make the right choices in your research project. A primary strength of narrative analysis is the rich insight it can generate by uncovering the underlying meanings and interpretations of individual human experiences.
The focus on an individual’s narrative highlights the nuances and complexities of their personal experience revealing details that might be missed or considered insignificant by other analysis methods. This makes it especially useful for those of you who are researching topics related to psychology, sociology, ideology or cultural studies. Another strength of narrative analysis is the range of topics it can be used for as well as the data formats it can be applied to.
As an analysis method, it can be used on a wide range of data sources including in texts, interviews, monologues and recordings. This ability to apply narrative analysis to both primary and secondary data makes it a very flexible analysis method. All that said just like all analysis methods narrative analysis has its weaknesses and it is important to understand these so that you can make informed decisions for your research project.
The first drawback of narrative analysis is the problem of subjectivity and interpretation. In other words, a disadvantage of the focus on stories and their details is that they are open to being understood differently depending on who is reading them. This means that a strong understanding of the author’s cultural context is crucial to developing your interpretation of the data.
At the same time, it is important that you remain open-minded in how you interpret your data and avoid making any assumptions. It is a tricky balance I know. A second weakness of narrative analysis is the issue of reliability and generalisation.
Since narrative analysis depends almost entirely on a subjective narrative and your interpretation the findings and conclusions cannot usually be generalised or empirically verified. Although some conclusions can be drawn about the cultural context they are still based on what will almost always be anecdotal data and therefore would not necessarily be suitable for the basis of a theory, for example. Last but not least the focus on long-form data means that narrative analysis can be very time-consuming not only will you need to invest a significant amount of time to become well-versed with the data itself but you will also need to be well-informed regarding the author’s cultural context.
Ideally, you should also familiarise yourself with other interpretations of the narrative to ensure that you have a holistic view. So if you are going to undertake narrative analysis make sure that you allocate a generous amount of time to work through the data. If you are enjoying this video so far please help us out by hitting that like button.
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Okay so now that we have unpacked the basics of narrative analysis as well as its strengths and weaknesses let us have a look at when you should use it. So basically when exactly is narrative analysis an appropriate method? As a qualitative method focused on analysing and interpreting narratives describing human experiences narrative analysis is usually most appropriate for research topics that are focused on social, personal, cultural or even ideological events or phenomena and how they are understood at an individual level.
For example, if you are interested in understanding the experiences and beliefs of individuals suffering social marginalisation you could use narrative analysis to look at the narratives and stories told by people in marginalised groups to identify patterns, symbols or motifs that shed light on how they rationalise their experiences. In this example, narrative analysis presents a good natural fit as it is focused on analysing people’s stories to understand their views and beliefs at an individual level. Conversely, if your research was geared towards understanding broader themes and patterns regarding an event or a phenomenon analysis methods such as content analysis or thematic analysis may be better suited well, depending on your research aim of course.
If you are interested in learning more about those methods we have got videos covering them as well. Links are in the description below. All right we have covered a lot of ground in this video.
So let us do a quick recap. Narrative analysis is a qualitative method focused on interpreting human experience in the form of stories or narratives. We have discussed two approaches to narrative analysis.
The inductive approach where your interpretations and conclusions are drawn exclusively from observations within the data and the deductive approach where your selected narratives or stories are tested against pre-existing theories, frameworks or hypotheses. Like all analysis methods, narrative analysis has a particular set of strengths and weaknesses. Based on those narrative analysis is generally most appropriate for research that is focused on interpreting individual human experiences as expressed in detailed long-form accounts.
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