How STATA adds impetus to research

It’ true that STATA adds impetus to research. Basically, Stata satiates stats needs in research and helps students choose techniques which suites them the most.

But, are you aware of Stata? Do you know what are its functions and how does it functions?  State is the most popular programme for statistical analysis as it is very powerful and relatively easy to learn.

The reason why it is a good choice for data management is its straightforward and flexible syntax. It also denotes a very large number of statistical techniques.

Stata also has a wide user community which has helped it in making success waves. The aim and objective of Stata for Researchers is to give them a solid foundation so that they can build on to become an expert Stata user.

The researchers have two options to use Stata. One is to use it as an interactive tool: In this process, they can start Stata, load their data, and start typing or clicking on commands. This comes as an excellent way to learn Stata as they get an immediate feedback;

This also paves a good way to explore their data and to figure out what they want to do. Also it helps to check out that their programmes are working properly. However, if there is any interactive work, it cannot be easily or reliably replicated, or modified if researchers keep changing their mind abruptly. It also becomes very difficult to recover from mistakes—This is because there’s no “undo” command in Stata.

The other option available with researchers is to treat Stata as a programming language. In this approach, they can write their programs, can call do files, and run them as they are completed.

A do file has the same commands which researchers type in interactive Stata, however, since they’re written in a permanent file, they can be debugged or modified. Then, they rerun at will.

They also act as a record of how researchers obtained their results–a kind of lab notebook for the social scientist. No matter which work that they intend to publish or present, it should be done using the do files. Thus, this series will ignore Stata’s graphical user interface in most of the cases and prepare researchers to write ‘do’ files for research.

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