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