Pros And Cons Of Using Thematic Analysis As Your Analysis Technique

data analysis technique

Thematic Analysis

The Thematic Analysis helps researchers to draw useful information from the raw data. In the research world, TA helps the researcher to deal with textual information. Hence, thematic analysis is the qualitative research analysis tool. If your aims to work on the numerical data, then Thematic Analysis will not help you. Hence, you can consider TA as a gate to conduct the qualitative research only. The following definition of TA will further help you know about this technique.

Definition of Thematic Analysis

The assignment help firm said that thematic analysis is one of the most organised ways to analyse qualitative data. It is something more than the traditional analysis by counting words in the draft. The working principle of TA is different from the classical form of analysis. This type of analysis sorts themes by using theoretical knowledge. Hence, the TA is a systematic union of theoretical knowledge and personal information.

Working Principle of Thematic Analysis

Thematic analysis sorts the textual data by developing different themes. The pattern of themes may include inductive or deductive motives. The inductive and deductive patterns are different from each other. If the information analysis deals with the pre-determined process, then this will be the deductive approach of study. Deductive approaches must include a theoretical framework. But, the inductive approach follows the hypothetical way. The name of this analysis suggests that it sort different themes. Yet, such themes help them to draw the practical consequences out of different responses.

Different Scenarios that Thematic Analysis (TA) can handle;

If a researcher wants to do qualitative research and search for an appropriate analysis method, he must know the features of each type of analysis technique. Some of the task that a TA technique can perform is as follows;

  • You can select TA if you want to identify the patterns in the data.
  • You can also select TA if you are a newbie to qualitative research.
  • You should go for TA if you want to collect data by using open-ended questionnaires.

Qualitative researches containing opinions and responses of the candidates can also use TA.
Apart from the basic understanding of the TA, the following section will allow you to know the pros and cons of using it. The act of looking at both sides of a coin before tossing enhances the players’ confidence in the final decision. Likewise, looking at the pros and cons of the statistical tool before selecting it in the research data analysis raises the chances of success.

Pros and cons of using the Thematic Analysis as your data analysis technique  

Thematic Analysis

Pros of Thematic Analysis

Cons of Thematic Analysis

·         Analysis of text in the context of different theories is among the most helpful feature of this analysis.

·         The researcher can analyse the abundance of data in a short time.

·         It is a combination of both personal and theoretical knowledge.

·         TA can develop multiple themes from a short text.

·         The availability of two versatile approaches, the Inductive and Deductive approaches, make it important statistical analysis techniques.

·         Flexibility and a wide range of analytical tools help researchers to sort the qualitative responses.

·         A User-Friendly method of analysis is another advantage that a student must know before selecting it.

·         People prefer TA due to its ability to interpret data by making attractive themes.

·         TA produces results that target the general public, which fits it in both pros and cons categories.

·          It offers to pinpoint, record patterns and examine features in data analysis.

·           Again, it works by making themes of data sets. Later, these themes of the data sets become the categories of the analysis.

·         The six-phase coding process in the thematic study helps to get the meaningful pattern for analysis.

·         The name of six phases that help the survival of TA in the researcher’s world are as follows;

1)Familiarisation with the raw data

2) Practice of giving code to different categories

3) The act of searching themes among different codes

4) Reviewing of the themes

5) Naming the themes

6) Reporting the final results

·         Flexibility imparts broadening of the topic.

·         It often provides a limited interpretation of the text.

·         It cannot provide little information about the detailed procedure.

·         It often provides generic information, which in most cases decreases the efficiency of PhD level thesis.

·         It is one of the poorly demarcated methods of analysis in Psychology.

·         Often fails to retain the sense of continuity or contradiction in psychological researches.

·         It takes too much time to sort the responses of the unstructured interviews.

·         In some cases, TA users complain about the biasness of results in this form of analysis.

·         Sometimes, the reliability of the results is doubtful. The researcher can shoe bias behaviour in the development of the themes.

·         Even in this qualitative method of data analysis, you can find the results of your choice without even knowing the actual analysis method.

·         An important weakness of this method is that it does not prove the language used in developing the theme.

·         The flexibility of the TA induces research issues like inconsistency in the data analysis method.

Transparency of results is another important weakness often seen in the data analysed by using TA.

Hence, the above section details the pros and cons of using Thematic analysis in the data analysis. As stated in the previous section, the most important thing about the TA is that it can be the best method of analysis if you are a newbie. It has many things that make it different from other analysis techniques. Some other qualitative analysis includes;

1) Narrative analysis
2) Descriptive analysis
3) Discourse analysis
4) Content analysis
5) Ground theory

The director of essay writing services said that if you are a beginner, you will not find any fault in the thematic analysis. But, after using any of the techniques mentioned above, you may come across many weaknesses of TA. Hence, the selection of the data analysis technique does not depend on the person’s choice. Rather, this selection depends on the many other factors, like;

  • The time available for the study
  • The protocol of the study
  • The form of raw data
  • The expertise of the researcher
  • The nature of the study


Popular posts from this blog

5 Common Misconceptions about Accounting You Must Know

What Is the Difference Between Research Paper and Essay

Important Communication Skills to Improve Leadership Skills