This is the most important and difficult chapter for students in dissertation writing. Statistical analysis was conducted with the help of gathered information and the results are summarized into tables and graphs. Right from the beginning, it is significant to give major attention to the discussion section, even though it appears at the end of the paper. There are certain things needed to be considered such as the importance of the study, a relationship from the previous st

SPSS is a Statistical Package for the Social Sciences and was launched in 1968 by SPSS Inc., later bought by IBM in 2009. As the name implies it is one of the software that is widely used in the research areas especially for complicated statistical data analysis. The SPSS is being used by major researches in education, marketing, Government entities, healthcare sectors, surveys and data miners. The main aim of SPSS is to analyze the mined data and survey oriented data to get

For research scholars, thesis or dissertation or manuscript writing consists of the theoretical description of the project which has different phases in which the main phase is analysis phase where it consists of statistical tests. The most important statistical tests for the research scholars are purely based on what type of data they prefer under which resource. The basic statistical tests are been inbuilt in trending software’s where the advanced tests have to be imported

Hope you are in the ride of a Ph.D journey, that’s great! Have you confused at any point of your research? Yes, means I think probably at the point of data collection technique. In data collection process, you may get confused to differentiate survey and questionnaire. Am I right? Let see why this confusion is? Many people think that both survey and questionnaire is for collecting data. Yes, of course, it is correct but slight core difference exists between questionnaire and

There are many advantages of non-parametric methods over parametric ones. The advantages can precisely be delineated as under: Any inference based on the parametric analysis which does not uphold the underlying assumptions necessitated for it will be erroeneous.In such a situation non-parametric methods can safely be applied If the measurement scale of data is nominal or ordinal, non-parametric methods can be used In case the measurement are not so accurate as to apply parame