Some research methodology best practices advocate the use of various types of statistical methodologies to arrive at reliable results. While others believe in only using a single statistical method to examine a given question or issue, yet others believe in combining statistical methods to arrive at a solution to problems. A number of researchers subscribe to the principle of "aggregation"; that is, they combine statistical methods of study in order to arrive at a solution to the problem at hand. Some of the statistical methods that are commonly used in research methodology include: chi-square, chi-lasso, weighted least squares, likelihood-based statistics and multivariate analysis. Other statistical concepts used in research methodology include: chi-square, chi-sum, logistic regression, multiple regression, and t statistics.
It is very important that you familiarize yourself with the various statistical methods of research and their various definitions and implications. This will help you arrive at the appropriate solution to a given problem. It is also imperative that you choose a type of statistical method that is most suitable for your research; for example, a logistic regression, which is typically used when analyzing data from several types of independent variables.