Data entered in STATA can be classified either as numeric or string type. Associated with each type of data is its storage type i.e. the numbers are stored as byte, int, long, float, or double. STATA takes “float” as the default storage type for its variables.
Do-file is an interface in Stata which allows the researcher to compile all the commands and results at one place. Once the commands are stored in do file, one do not need to enter the command again.
Correlation analysis is conducted to examine the relationship between dependent and independent variables. There are two types of correlation analysis in STATA.
In my previous article I have discussed how the validity can be ensured with respect to Quantitative and Qualitative analysis. This article discusses the threats to validity (internal and external) irrespective of the approach.
A study by Ary et al. (1996) categorized qualitative research/method into two distinct forms. Firstly participant observation, where the researcher is a participant of the study. Secondly non-participant observation, where the researcher observes but does not participate. It is in this non-participant observation where one can use the content analysis approach.
STATA, like SPSS is a smart data analysis tool used for data management and analysis. It is a fast and easy to use, across all operating systems such as Windows, Unix and Mac.