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Analyzing Data: Approaches to Thematic Analysis

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Abstract

In this chapter, we focus our attention on qualitative research related to healthcare simulation. This chapter explores two related approaches to analysing qualitative data – thematic analysis and qualitative content analysis. Both of these methods are commonly used in qualitative research, and are considered relatively accessible forms of analysis. We provide a logical approach to their use offering references and a worked example. In addition to introducing the each method, we discuss how to ensure rigour and trustworthiness in your research. These issues form an essential part of any qualitative approach.

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... We used thematic qualitative analysis to analyze the data. Specifically, we utilized a mix of "directed" and "conventional" qualitative coding (Gormley et al., 2019). Directed coding recognizes that some terms associated with coworker abuse have already been identified in the literature and were included as coding themes from the outset. ...
... Directed coding recognizes that some terms associated with coworker abuse have already been identified in the literature and were included as coding themes from the outset. Conventional coding refers to adding coding themes based on empirical information provided within the data to ensure all reported outcomes are captured (Gormley et al., 2019), a method used heavily in respondents' perceptions of why the abuse was occurring. ...
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... The responses were thematically analyzed. Gormley, Kearney, Johnston, Calhoun, and Nestel (2019) used the thematic analysis framework used by the researcher. The following process was observed: familiarization of the data, preliminary coding, clustering, template development, and interpretation. ...
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Purpose. The purpose of this theoretical article is to demonstrate how activity theory, a neo-Vygotskian sociocultural theory, can be used to analyze learning during simulation-based activities. Background. Simulations are complex, dynamic environments that evolve and change throughout implementation. Moreover, simulations simultaneously support multiple participants’ assigned different roles. This means that the learning within them is often co-constructed, rather than individually derived. These characteristics complicate understanding the learning within them. Method. This article presents a summary of the basic tenants of activity theory (AT), followed by a worked example to demonstrate how AT can be used as an analytic lens to generate rich description and analysis of participant activities as embedded in a complex dynamic simulation. Conclusions. Activity theory can be used as a theoretical lens in order to account for how participants partake in simulation-based learning contexts, which supports the rich description and analysis of how participants accomplish their goals.
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Content analysis and thematic analysis: implications for conducting a qualitative descriptive study
  • M Vaismoradi
  • H Turenen
  • T Bondas