Dissertation researchers collect tons of information and data related to the problem or issue they are researching. Have you ever wondered what happens to the data after its collection? Yes, you are right. The PhD dissertation writers or students who carry out the research perform the analysis of the collected data. To do this, they employ different analysis techniques and procedures. Do you know what those data analysis procedures are?
As guessed, you are totally blank about this, and it is also the reason why you are here: to learn the data analysis procedures. Well, you have come to the right place. In today’s post, we will be discussing the steps involved in any successful data analysis of a PhD dissertation. So, let’s get started with today’s discussion.
Procedures To Follow To Perform An Effective Data Analysis
Effective data analysis is the one which extracts as much information as possible from the collected data. It is also about making effective interpretations of the results obtained. This is only possible when you follow all the steps and procedures of data analysis of a PhD dissertation. What are those steps to follow? A brief description of each is as follows:
Defining The Objective Of Your Analysis
The first step in any data analysis is defining the objective of your analysis. It means that you must know what you are trying to achieve after analysing the data. To define the objective, ask yourself: What am I trying to solve or answer? In data analysis language, this is called a problem statement. It might seem straightforward, but it is very difficult. So, carefully define the objective of your analysis, as it sets the base of your data analysis process.
Collect The Required Data
After the objective has been set, the next thing is to collect the required data related to your PhD dissertation problem. Make sure that you collect the data which is relevant to your research problem and answer all your research questions. To collect the data, you can use a number of methods, depending on dissertation discipline and research type. For example, students of sociology, psychology, and related fields mostly use surveys, questionnaires, and observation as data collection tools.
Free Your Data From Unwanted Errors
What does it mean to free your data from unwanted errors? Yes, it means that after the collection of your data, you should clean it from any kind of errors or missing values. Cleaning the data includes identifying the major errors and outliers and checking for duplications in the data. If these things exist in your data, immediately get rid of them because clean data is the key to a successful data analysis.
Select An Appropriate Analysis Method
Now, when you have got a wealth of data and data which is cleaned, the next step is to choose an appropriate analysis method. An appropriate analysis method is one which helps you analyse your data effectively and answer all the research questions. Choosing such a depends entirely on your data type and research problem. If your data is qualitative, you should choose a qualitative analysis method and if it is quantitative, go for a quantitative method.
Analyse The Data
The time to analyse the data in actuality has come. As you have clean data and selected the analysis, run the actual analysis for your PhD dissertation. Use any tool that suits you the best and serves your research interests to analyse the data. The tool, upon taking the data, turn it into different kinds of visualisations, which you can further use to spot the themes and patterns. Hence, the 5th step is about analysing the data in actuality.
Make Solid Interpretations Of The Results
You have finished the data analysis for PhD dissertation. You have all the insights in the form of charts, lines, and graphs. What is next? The next step is to interpret all the results obtained correctly. It means you need to identify all the trends and themes present in your data and explain how they answer the research questions. If you face difficulty in reading the graphs and cracking the patterns, you can take PhD dissertation help.
Embrace The Limitations
Normally, the data analysis process ends once you interpret the results and present them in your PhD dissertation. In some cases where the results could not answer some research questions, add a section and embrace your limitations. Not a single research study is perfect enough to touch on each aspect of a problem. So, gracefully discuss the limitations of the data analysis.
In this post, we have covered the procedure of data analysis that you need to follow when working on a PhD dissertation. The whole procedure is based on seven steps, and you must not skip any step to analyse the data effectively. So, read all the steps mentioned above.
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