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(See also ISCC Software list here:


IBM SPSS is most commonly used in social sciences and business. The use of a drop down menu interface allows the program to be accessible to those who are new to data analysis.


SAS is an advanced software package that is the standard in the pharmaceutical industry. It is also used extensively in biomedical applications.


Stata is another software package that is commonly used in the social sciences and business, particularly sociology and economics. The Spost (Long & Freese, 2005) commands developed by Long & Freese (2002) allow Stata to be especially powerful for interpreting categorical regression models and effectively managing data.


  • J. Scott Long and Jeremy Freese, 2005, Regression Models for Categorical Outcomes Using Stata. Second Edition. College Station, TX: Stata Press.


Introduction to R

R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

R is available as FREE Software. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS.

Download and Install R

R can be download for free from It has different versions for Linux, MacOS X and Windows.

After download, you could find the downloaded file and double-click it. Then, follow its instruction to install it into your computer.


Rbrul is a specific software based on R used for Linguistic Variation analysis See more here for Rbrul


HLM is a software for Hierarchical Linear or Non-Linear Modeling (or Multilevel modeling) it is most commonly used for analysis of nested data.


Mplus is a program used for latent variables in a model. It is capable of preforming standard statistical tests and Monte Carlo studies.


LSREL is a popular software for Structural Equation Modeling (SEM).


AMOS is an add-on for SPSS that allows for Structural Equation Modeling (SEM).