Statistical Package Information
Melbourne University has licenses to a wide range of statistical packages that are available to students. Below is an outline of some of the statistical packages that may be relevant to Psychology researchers. At the bottom of this page is also an overview of some other useful programs such as referencing packages.
MATLAB (MATrix LABoratory) is a general purpose programming language and associated integrated development environment with a particular emphasis on numerical computation. MATLAB is a script-based product; it includes an interactive command window (or a REPL) and built-in visualisation tools allows users to build scripts iteratively and inspect data structures dynamically. It has been a popular product in both academia and more widely in commercial industry. In psychological sciences, MATLAB is advantageous because it can be used for stimulus presentation, data analysis, and the development and simulation of quantitative cognitive models. It features a wide range of bundled libraries (called "toolboxes") that extend the base language, with its high performance matrix computation, to many specialised applications.
One of the more popular toolboxes for Psychological Sciences is Psychtoolbox (open source), which can be used for stimulus presentation.
The University of Melbourne offers all staff access to a site-wide license on a year-by-year basis, requiring a staff (...@unimelb.edu.au) email account. Information about this licensing programme can be found here.
A free software version of the language known as Octave is available from http://www.octave.org/. This version can be used for many major tasks requiring MATLAB, including developing and running experiments in Psychtoolbox.
R is a general purpose, free software programming language with an emphasis on statistical and numerical applications. It is script based, and customizable. It offers a set of libraries and syntactic features for handling and analysing data. However R requires a steep learning curve.
The set of built-in libraries that are installed and immediately accessible in R cover a wide range of common statistical analyses, from basic descriptive statistics, power analyses, non-parametric tests, t-tests, and (generalised) linear models/ANOVA, to cluster analyses, time-series analysis, tree-based modelling, discriminant function analysis, exploratory factor analysis and principal components analysis, and bootstrapping. There is also extensive built-in support for model-fitting using various optimisation techniques.
A strength of R, beyond its availability, is exhibited in the wide variety of freely available open source packages which extend the core functionality, allowing more complex and contemporary analyses such as multiple imputation, structural equation modelling/confirmatory factor analysis, mixed-effects linear and non-linear analysis, self-organising mapping, complex Bayesian modelling, and more.
R can be downloaded for free at http://www.r-project.org/ and all toolboxes can be installed from within R for free
SAS: Statistical Analysis Software
SAS is a broad statistical and analytical program. It allows you to manage data, data mine, graphics and statistical analysis. The user interface is designed for researchers and has several components that deal with analysis and data reporting. This program is well established and has a lot of online support, as well as consultants at the university. For beginners the user interface is not the easiest to work with but SAS does have a large range of capabilities. It is a popular alternative to SPSS, and is considered better for handling large databases.
The university holds a licence for this program which you can access. If you are downloading this for your personal computer there is an extra form to download and email to the service desk (details on the website). This program is free through the university for all operating systems on computers owned by the University or you personal computer.
SPSS is a powerful statistical and data management software package. It is a point and click interface, with script options. SPSS is widely used, and taught to in the undergraduate psychology courses. The program is useful for data entry, data cleaning, analysis, and basic graphics (but not APA style!).
The university has a licence for staff, and is available on all computers in the department computer labs.
Support is available at the SPSS site, and with various user guides (e.g., Pallant, 2011).
Stata is a complete, integrated statistical package that provides tools for data analysis, data management, and graphics.
Stata can be used for standard methods and advanced techniques, such as survival models with frailty, dynamic panel data (DPD) regressions, generalized estimating equations (GEE), multilevel mixed models, models with sample selection, multiple imputation, ARCH, and estimation with complex survey samples. The generate publication-quality graphs, including regression fit graphs, time-series graphs, survival plots, and contour plots.
Stata may be useful for anyone looking to carry out more advanced modelling. There is plenty of user support on Stata website and quarterly journal.
There is no university wide license, but it is available on two computers in the 10th floor computer lab (near the lockers). Annual or perpetual licenses are available. For more information, see the stata website.
For more statistical package information, the University of Texas has a good overview and introduction.
Other useful programs:
- Endnote: links with Word. University licence.
- Papers: like iTunes for journal articles
- Mendeley: like Papers, but free up to 1GB
- Zotero: works with your web browser
Notes, Planning, & Writing
- OneNote: planner and note taking software with Microsoft office
- Scrivener: allows you to concentrate on composing and structuring long and difficult documents
We also have a database covering a broad range of statisical information that you can request access to, and contribute to: Get to GRIPS with stats!