Improvements to StatJR software

DOI

The project added functionality to the Stat-JR, a software environment for promoting interactive complex statistical modelling. For details and free download pages for UK academics, see Related Resources. When social science researchers wish to carry out research and choose a quantitative approach, they will collect either new data or existing data and perform statistical analysis on this data. In the modern age it has become increasingly important for social science researchers to be trained in quantitative methods and the use of statistical software to analyse datasets and answer research questions. Modern statistical techniques have also become more computational and so there is a desire for software tools that simplify the research process whilst still allowing social scientists access to the most appropriate statistical methods. In this proposal we build on earlier work where we have prototyped an interactive electronic book (or eBook) system for learning about statistical techniques and performing analysis. An eBook can be thought of as combining the features of a book with those of a statistical package as it contains a mixture of textual information, graphs and tables but also input boxes which when completed write sections of the book conditional on the inputs supplied. We intend to investigate the appropriateness of the new technology and how it may be adapted to be used for various tasks that are commonly performed by social scientists.

No data just software

Identifier
DOI https://doi.org/10.5255/UKDA-SN-853207
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=3563424415bfa9a4c7a3e071ec601ca9f852d51e5cfe24bc0a893b2adbe77ac0
Provenance
Creator Browne, W, University of Bristol; Charlton, C, University of Bristol; Parker, R, University of Bristol; Moreau, L, Kings College London; Michaelides , D, University of Southampton
Publisher UK Data Service
Publication Year 2018
Funding Reference Economic and Social Research Council
Rights William Browne, University of Bristol; The Data Collection is available to any user without the requirement for registration for download/access.
OpenAccess true
Representation
Language English
Resource Type Software
Discipline Social Sciences
Spatial Coverage United Kingdom