Traditionally
statistical power has been associated with the level of accuracy in analyzing
the population with the help of sample data. While this holds true, statistical
power is also related to ability of working with huge data swiftly; ability to
use advanced, computerized and online metric tools, ability to adjust data with
adjustment components, ability to extract correct information from sub quality
or incomplete or less data, and the like. One example of a tool with enormous
statistical power is Meta-analysis tool, it is an advanced statistical tool
that can be applied only with computers, it is a very complex tool devised by
eminent statisticians with the aim of aggregating and simplifying data. This
tool is used by researchers to aggregate already available information that is
secondary data, from a large number of sources and data sets.
Choice of the
correct statistical methods while performing any research work is crucial for
its success. This needs to be made keeping in mind the research purpose, location,
constraints and resources. The methodology should be well matched and adjusted
to the situation, practical and applicable, correct, efficient and updated. In
order to plan the methods to be used for research work researcher must be well
versed with all the statistical tools and have current information regarding
recent advancements, he/she should also be aware of the assumptions,
limitations and advantages to make a proper choice of method mix. Researchers
with insufficient knowledge of statistics or unskilled in the usage of
statistical tools can get their works reviewed by skilled statisticians. They
will be able to introduce the necessary changes to increase the statistical
strength and correctness of the research and also help the researcher to bring
out more information from the same data.
