In today’s data-rich age, understanding the strategies for analysing dissertation results is a must for success. Even though tons of results are being created daily, why does only 0.5% get analysed using different strategies? This is clear: not knowing how to analyse the dissertation results. Hundreds of students do the research and extract results but do not analyse them to make them valuable. The reason is the same as discussed earlier. So, keeping this in mind, today’s article discusses 7 strategies that can help you analyse dissertation results effectively. However, before that, let’s discuss what dissertation results mean and why analysing them is important.
What does it mean by dissertation results? Explain with importance.
Dissertation results mean the research findings or the data collected after experimentation on the research topic. Dissertation results come in the Results section of a dissertation. The presentation of the results also includes a discussion on how your results answer research questions.
Analyzing dissertation results is extremely important. Why so? Analysing dissertation results helps you extract valuable information about the topic and guides you to make informed decisions about the issue. Another reason you need to analyse the results is that the analysis helps you unearth the hidden patterns and relationships between the variables. All in all, dissertation results analysis is an important activity. Getting masters dissertation help can help make it done with perfection.
Strategies to analyse dissertation results in the best way
Reading the information above, you have an idea of dissertation results and why analysing them is important. Still, you do not know how to analyse them. This section explains the top techniques you can use to analyse the results as I do not know what type of results you are analysing. I do not know whether they are qualitative or quantitative results. So, I will describe strategies related to each result type briefly. Hence, let’s start the discussion.
Strategies for qualitative dissertation results
Qualitative results are non-numeric, consisting of only words, expressions, and descriptions. So, a brief description of the strategies to analyse such results is as follows:
1. Content analysis
This technique is the most widely accepted one for qualitative results analysis. As the name suggests, you analyse the content of the expressions or descriptions using this technique. By doing this, you try to uncover the hidden relationships, themes, or concepts. This strategy is used to quantify and analyse the presence of certain words and themes in the dissertation results.
2. Thematic analysis
The second method of analysing dissertation results in the best way is thematic analysis. This technique is usually applied to uncover the themes present in the results. As it is a qualitative technique, you take all the words, expressions, and descriptions into account and analyse them to find hidden patterns and themes. In this technique, you familiarise yourself with the results, code them, and then find the themes.
3. Narrative analysis
Narrative analysis is the 3rd strategy you can use to analyse qualitative results in storied form. This method is usually used to analyse the results gathered from personal interviews and observations. You listen to the stories of the interviewers and then analyse how they have made their narrative. A common assumption while doing this analysis is that interviewers tell stories to help organise and make sense of their lives. The stories in this analysis are meaningful and purposeful.
4. Discourse analysis
Discourse is just a fancy word for speech and debate. It is a kind of interpretive method used for analysing dissertation results. The discourse analysis is done by considering the speech’s language and social context. Without considering the context in which the speech took place, you cannot analyse the speech better. Discourse analysis allows you to analyse large chunks of expressions and descriptions as they flow together. It is important to note that this analysis is more than analysing the grammar of the text.
Strategies for quantitative dissertation results
Quantitative dissertation results are the numeric results. They consist of numbers rather than expressions, descriptions, and words. A brief description of the strategies to analyse such kinds of results is as follows:
1. Descriptive statistics
Descriptive statistics is the first strategy most commonly used to describe and analyse quantitative research results. This strategy helps you understand the meaning of your results by summarising them and finding patterns. This method makes the research results so meaningful that the patterns start making sense. Below are the methods involved in this strategy of analysing them:
Mean: A method used to calculate the numerical average of research results.
Median: A method used to get the midpoint of the set of values.
Mode: It is used to find the commonly occurring value in the results.
Standard deviation: This method indicates how dispersed the research results are in a dataset.
2. Inferential statistics
While analysing the quantitative dissertation results, the expectation is to turn the raw numbers into meaningful ones to help answer the research questions. Hence, inferential statistics is the second method most commonly used to analyse quantitative results. Inferential statistics aim to predict or highlight the possible outcomes from quantitative results. This method is also mostly used to uncover the relationship between the variables. Below are some methods that are part of inferential statistics:
Regression analysis: A method mainly used to develop the relationship between the variables of the results.
Monte Carlo Simulation: It is a computerised technique to generate models of possible outcomes of the research results.
This article discusses some of the best strategies for analysing dissertation results. It went further to show that there are two types of results that you analyse mostly. A brief description of the methods for each type of result is also up there. So, read the information part and analyse your research results best.