Your dissertation is a long research paper. It consists of many chapters and various techniques are used to write each one of them. It contains a unique subject and inference of recommendations by research and findings of new patterns or ideas. It is the pinnacle of your academic life and hence requires a distinctive and singular theme to be accepted by the review committee. That is the reason you are asked to submit your dissertation proposal before beginning to work on it. These Dissertation Proposal Help the committee to understand your topic and the feasibility of your research. They try to understand the scope of your research and the capacity of data to be analyzed logically.
An analysis in the dissertation is a process of applying various methods and logical techniques along with statistical techniques (if required) to describe and analyze the information gained through the research and presented in previous chapters. This analysis is conducted to provide the reader with logical inferences through inductive or deductive reasoning. Many analytical tools are used in dissertation to conduct qualitative or quantitative data analysis. These tools have been formulated in recent years and help the authors perform their activity smoothly and with great efficiency. Today, we are going to discuss a few of these analytical tools that can help you in your dissertation data analysis. But first we are going to have a look at two different kinds of data analysis on the basis of their nature and the type of data they are analyzing.
Two kinds of Data Analysis:
Data analysis is usually of two types. These two types or methods of data analysis are used according to the requirement of the nature of research or the area of study that research is being conducted in. one is called qualitative data analysis and the other is called quantitative data analysis. Sometimes both these methods are used in a research when one of them is not good enough to provide necessary evidence or when the nature of the research allows.
Quantitative Data Analysis:
Quantitative data analysis is usually used for the data based on numerals and digits. This data is collected from various sources and then computed and analyzed using various sets of statistical methods. Data is chosen randomly in large samples and then analyzed and applied using charts, graphs, spreadsheets and tables. It is generally considered more objective and concerned with quantities that are physically measured like weight, temperature, speed, length etc.
Qualitative Data Analysis:
Qualitative data analysis is concerned with the data that cannot be quantified. The attributes of quality data analysis are that it can be subjective, exploratory, descriptive and non-statistical. It can be used to contemplate on various subjects and usually considered deeper than quantitative data analysis. It can bring into consideration questions like “why” the objects or participant has certain qualities and bring insight about the philosophical or social issues.
SPSS – Statistical Package for the Social Sciences:
This analytical tool was launched by IBM. As the name itself is evident that the software is applicable to the analysis of data related to the field of social sciences. It also comes handy for health researchers, government and marketing organizations, education researchers and survey companies. It allows the reader to create tables and enter the data to analyze it thoroughly. Also, the facility of creating graphs makes it a useful tool and an easy one as well.
This software can be easily installed on any computer using any kind of windows or other operating systems. It is compatible with open source operating systems as well. It is a graphical user interface (GUI), which means no written commands are required to perform the actions. The data is entered through the worksheets and a number of formats are available for formatting, searching and sorting. Also the user is given a choice to draw various kinds of graphs in order they need other systems of data analysis. This tool is a useful one and one of the best tools available in market.
Microsoft excel is another excellent tool for data management and data analysis in a dissertation. It contains various spreadsheets in which the user is allowed to enter numerals and formulae for the sake of calculations. Statistical calculations are made easy by this software and it proves to be a very useful tool in which a user can select the row and formula to get the results. If some features are not available in the software, user is allowed to append them manually by making a list.
Microsoft excel contains a number of built in graphs that can be added by the user into his work to present results. This feature of the program makes it more user friendly. The pages of different sheets can be worked on simultaneously and the whole collection of sheets is referred to as a work book. Therefore, its mandatory for user to install the whole Microsoft office program in order to use excel. The software is used mainly on windows only as it is made by Microsoft who are the creators of windows as well. But many new versions are being created recently that can be used on other operating systems as well.
EVIEWS – Econometric View
Eviews is another excellent program with easy to use interface which enables the user to easily perform every step of the process. From data entry to analyzing that data and estimation, forecasting or publication etc. everything is simplified and convenient to use. The software can only be used on windows and works as an efficient tool for modern statistical or econometric analysis. Using this program you can generate powerful model simulations, high standard graphs, tables and other models for publication purposes. The management of data is quick and efficient and you are able to do econometric or statistical analysis easily.
For its inputs and outputs, it supports various formats and data can be imported from Excel as well. Also you can use it to produce a histogram as well.
NVIVO is a tool used in qualitative data analysis. It was produced by QSR International. It is used for the analysis of those researches which consist of long texts and multimedia information. These texts usually require deep analytical approach and that cannot be done by numbers and tables.
The areas of study using this program for their analysis include, government, health, psychology, anthropology, criminology, marketing, communication etc. only to mention a few. All these studies require to analyze the data that is non-numeral or unstructured. And NVIVO is specially designed to perform this task. The user of this program can cross examine information and test theoretical explanations in numerous ways. The software helps researchers to make observations and build evidence that can further support their claims.
One distinguished quality of this format is that it supports data in various formats. You can use your audio, video, digital photos, pdf, word, sheets and many more kinds of data formats to analyze. Also it can interchange data with numerous other softwares like Microsoft Excel, Microsoft Word, SPSS, Evernote etc. and order transcripts using TranscribeME.