Globally, dissertation writing is an essential part of doctorate degrees. The PhD dissertation is all about data gathering, analysing, reporting, and writing techniques. It’s not possible for a student to learn all these things in one sitting only. Scholars spend years in gaining the necessary skills for making a PhD dissertation praiseworthy. The higher education department made PhD Dissertation compulsory due to following reasons;

  1. PhD dissertation entails technical work. This is because it aims to address the technical audience.

  2. A PhD dissertation preserves all the academic efforts of a student. It reflects the research skills that a student acquired during the three-four years of research work at university.

  3. It will act as guidelines for students who have common scientific interests.

  4. Collectively, the higher education department made it compulsory to monitor the academic efforts of an institution.

The purpose of a PhD dissertation highlights why it is the most burdensome task for a scholar. Remember, slow and steady wins the race. Following a few important techniques at every step of the dissertation will help you in cracking the nutshells. Suppose you need to write an introduction, for this you should read at least a dozen articles regarding your studies. Writing after reading is the best approach to writing an introduction. It will suggest you more target keywords, and this way writing becomes easy as well. Likewise, if writing a literature review is troublesome for you, don’t worry. This is because a few simple tricks can make it easy as well. For literature review, you can follow these steps;

  1. Make source library by searching specific key terms.

  2. Highlight the point within the literature that is relevant to your studies (theories, and themes).

  3. Organise resources, and use them in your studies one by one.

Apart from all, developing the ‘methods’ section for a PhD dissertation seems like the easiest task. This is because researchers, even the beginners, can create a flawless methodology in the shortest possible time. Here, you have to write what you’ve done while solving a scientific problem, and that’s all. Mostly, in PhD dissertations, the scholars feel exhaustion in the aspect of data presentation. If you’re also facing a problem in data presentation, then the following section will make your troubles go away. Read it till the end for effectively managing the data presentation step in your PhD dissertation.

Data Presenting Tools:

Once you have collected the data by any method to conduct research be it primary, or secondary, the next step is to analyse it. Before data presentation, a crucial step is that of the analysis. For data analysis, there are dozens of software, and tools that are available these days. The selection of the tool depends on the type of data you’ve collected. If the data gathered from primary or secondary sources is in textual form, you can utilise a qualitative analysis tool. But if you have data in the numerical form, the list of quantitative analysis tools will be helpful. Below are some statistical, as well as non-statistical tools with a brief description that you can use for analysing the data;


SPSS stands for Statistical Package for the Social Sciences. It is the most common statistical analysis tool. A large number of researchers are using it worldwide. In 1986, this statistical analysis tool was launched. It provides a plethora of basic statistical functions aimed towards facilitating the researchers. The most useful functions of SPSS include the following;

  1. Descriptive statistics: Ratio, frequency, and cross-tabulation.

  2. Bivariate statistics: Variance, standard deviation, and Correlation.

  3. Numeral outcome prediction: Linear regression, Cluster analysis, and factor analysis.


Minitab is another important statistical analysis tool that is available to use on windows. The importance of the Minitab with respect to data analysis is due to the following reasons;

  1. The drop-down menus, as well as syntax options, are available in the Minitab window version. This feature makes it easy to use for both the experts, and beginners as well.

  2. It is one of the most user-friendly statistical analysis tools. Due to simplicity, it’s usage is common in introductory-level statistical analysis courses.

  3. Other important features that aim to support the design, and analysis of experiments of Minitab include the following;

  • Factorial designs

  • Mixture designs

  • Taguchi designs

  • Response surfaces

  1. Further, it is available in dozens of languages that are as follows;

  • Japanese

  • French

  • German

  • Simplified Chinese

  • Spanish

  • Korean

  • English


R is another data presenting, and analysis tool you can use for drafting your PhD dissertation. It is a well-promoted software known for statistical computing, and graphics. It is freely available, and easy to access as well. R is a flexible data analysis tool kit, and even the world’s best organisations are using it for the sake of convenience. It is convenient as it has almost all standard statistical build-in techniques. Apart from these features, the R community is continuously adding new features through add-on packages to make statistical analysis more convenient.


It is a statistic, econometric, and forecasting software. User’s ease and flexibility is the prime focus of EViews. Using this software, you can easily manage large data sets and transform them into graphs, and tables that are easy to interpret.


It is a famous statistical analysis tool that allows users to manage, analyse, and graphically represent data. It is mainly used by researchers in political science, biomedicine, and economics to create a research story. The intuitive features of the software include a graphical user interface, and a command line. For getting information on how to use these tools to make data more presentable for your PhD dissertation, the online tutorial or a dissertation writing service can help you.

These tools will only help you in analysing the data collected from various sources. After data analysis, the data presentation technique includes methods for making a meaningful story. The data in the graphs, figures, or tables are easy to understand, but only for the technical person. Whereas for non-technical readers, the story describing the relationship between the variables is also important. For making a meaningful story, good interpretation, writing, and reporting skills are necessary as well.

Once you follow all the above-mentioned processes, the last thing to do for a PhD dissertation is writing a conclusion. While writing the conclusion, the best way is to summarise all important points. Further, you can add future recommendations, and implementations of your research at the end.