DISSERTATIONS
The paired sample t-test, is also called as dependent sample t-test, it is a statistical method used to check that the mean difference between two randomly selected samples is zero. This test is performed when the subjects are marked twice so t..Read More
How to handle Multicolinearity in STATA
While going for regression analysis with time series of panel data, it may be possible that the independent variables considered in the model are highly correlated to each other, and therefore, the entire model in turn prove out to be a spurious one,..Read More
Significance of Data Analysis in Dissertation Research
Data analysis is defined as a process used to transform, modify, and improve certain information (data) with a perspective to arrive at a definite conclusion for a given situation or problem. It can be done by diverse methods as according to the need..Read More
Choosing the Right Statistics for Your Dissertation
You need to answer several questions before selecting the right statistics for your Ph.D. dissertation. What kind of data have you collected? Does the data fit the normal or the Gaussian distribution? What kind of comparisons would you make in your d..Read More
Several Gizmos for Data Collection and Analysis
Any research or exploration is complete only when it is reflected and proved factually. But how is it done? Affirmatively, through a collection of some meaningful and related numbers called “data”. A collection of data’s and their a..Read More
Are STATA and SPSS Really Necessary for Effective Data Analysis?
Any individual, who works regularly with statistical software packages, would be familiar with STATA and SPSS. These software packages allow the users to analyze highly complicated statistical techniques. However, many people find that these programs..Read More
Dissertation Data Collection Methods
No matter what topic you have selected for your dissertation, you would need to collect data at some point or another. However, you must remember that the data you would be collecting should fit both your questions as well as your research design. He..Read More
Pitfalls in Data Analysis: Ways of Avoiding
Even the slightest mistake in your analysis can damage the quality result of the research that you conduct. If you carefully go through every stage of research, then the common pitfalls can smartly be avoided. Here, is what you need to do to ensure s..Read More