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SalStat is a small application for statistical analysis emphasising the sciences and social sciences (particularly Psychology). The project is designed around the user interface which has been designed to be simple to use. Think SPSS, but better!
updated 29 Aug 2011 IntroductionThis is a python extension for SPSS to facilitate the use of mixed models. Mixed models are powerful, modern regression models that can handle multiple random effects (random factors) in one model. They are therefore a natural solution to a common problem in the psychology of language (psycholinguistics): How to analyse data which has a random effect for participants (subjects) and a random effect for items (words)? A paper on this extension has been published in
The KoBo Project data collection methodology uses hardware and software technologies to enable researchers (and others) collecting, collating, and presenting information. The basic principles are ease of use, flexibility, and openness to development. IntroductionThe KoBo project assists researchers in collecting secure and accurate data in challenging environments Data CollectionWe provide several tools for data collection. KoBoCollectBuilt on the Open Data Kit, KoBo allows users to administer s