SPSS (Statistical Package for the Social Sciences) is a computer software that provides statistical analysis of quantitative data. It allows for in-depth data access and preparation, analytical reporting, graphics and modelling.
NSLHD Libraries have 1 concurrent Version 29 Standard package (includes Base package), which can be used on most library PCs.
Additional resources on using SPSS are available.
NVivo is a qualitative research and data analysis software used by researchers in a broad range of fields including humanities, social sciences and medical/health sciences.
NVivo 14 Plus Enterprise is available on six PCs across NSLHD Libraries, including 2 at Douglas Piper Library (RNSH) and one at Hornsby, Macquarie, Mona Vale and Ryde.
Work on projects from the local C: drive to prevent project file corruption. After closing the project, copy NVivo projects from C: drive and save to external drives (USB or portable hard drive) or network drives (Microsoft 365, OneDrive, NSLHD network). Add-ons such as Transcription and Collaboration Cloud are not available with this edition.
Additional resources on using NVivo are available.
REDCap is a secure web platform for building and managing online databases and surveys. REDCap's streamlined process for rapidly creating and designing projects offers a vast array of tools that can be tailored to virtually any data collection strategy. More details available at My Research Hub.
NOTE: This cannot be accessed from home or on a personal device.
SAS (Statistical Analysis System) is a software suite widely used for advanced analytics, business intelligence, data management, and predictive modeling. It provides a comprehensive set of tools for data analysis, visualization, and reporting.
SAS OnDemand for Academics is free to download and install on personal devices.
SAS (full edition 9.4) is approved for installation on NSLHD PCs, for further details, please contact the Technology Shop (Sharepoint page).
Additional SAS resources are available.
R is a free, open-source programming language and software environment for statistical computing and graphics. It is widely used by data analysts and statisticians for data analysis, visualization, and modeling. R provides a wide variety of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, clustering, and more.
Additional resources on R are available.
Biostatisticial support and consultation is available to assist with NSLHD staff members' research projects. Contact the NSLHD Research Hub for more details.