Thematic Analysis

What is thematic analysis primarily focused on?

• Identifying patterns, themes, and meanings within a data set

• Quantitative measurement of variables

• Historical analysis of events

• Predictive modeling of future trends

Which type of data can thematic analysis be used on?

• Only primary data

• Only secondary data

• Neither primary nor secondary data

• Both primary and secondary data

What is an example of data that thematic analysis could be applied to?

• Geographical maps

• Financial statements

• Mathematical equations

• Interview transcripts

What is inductive thematic analysis?

• A method that uses only quantitative data

• A bottom-up approach where codes and themes emerge from the data

• A fixed method that does not allow for changes in codes and themes

• A top-down approach where themes are determined beforehand

What are a priori codes in deductive thematic analysis?

• Codes that emerge during the data analysis

• Predetermined, tightly defined codes

• Codes that are developed after the analysis

• Randomly selected codes

What is the purpose of a code book in deductive thematic analysis?

• To randomly generate codes

• To analyze statistical data

• To define and scope each code clearly

• To collect data from participants

What does coding reliability TA aim to achieve?

• A high level of reliability in the application of codes

• The generation of new codes

• Quantitative analysis of data

• Historical interpretation of data

What is a major strength of thematic analysis?

• The simplicity in deriving codes and themes

• Its exclusive use of quantitative data

• The ability to predict future trends

• The requirement for extensive statistical analysis

Why might thematic analysis be considered flexible?

• It requires a fixed set of data types

• It is only applicable to scientific research

• It can only be used on historical data

• It allows for the use of a broad range of research topics and data types

What is a potential shortcoming of thematic analysis?

• Its inability to use qualitative data

• The results can sometimes be vague and imprecise

• It can only be used by experienced researchers

• It is not suitable for analyzing patterns and themes