Improvements to StatJR software

Browne, William and Charlton, Chris and Parker, Richard and Moreau, Luc and Michaelides , Danius (2018). Improvements to StatJR software. [Data Collection]. Colchester, Essex: UK Data Service. 10.5255/UKDA-SN-853207

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.

Data description (abstract)

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.

Data creators:
Creator Name Affiliation ORCID (as URL)
Browne William University of Bristol http://orcid.org/0000-0002-6659-6885
Charlton Chris University of Bristol
Parker Richard University of Bristol
Moreau Luc Kings College London
Michaelides Danius University of Southampton
Sponsors: Economic and Social Research Council
Grant reference: ES/K007246/1
Topic classification: Science and technology
Keywords: computer software, statistical analysis, statistics
Project title: The use of interactive electronic-books in the teaching and application of modern quantitative methods in the social sciences
Grant holders: William Browne, Kelvyn Jones, George Leckie, Luc Moreau, Harvey Goldstein, Chris Charlton, Danius Michaelides
Project dates:
FromTo
1 October 201330 September 2017
Date published: 15 May 2018 14:02
Last modified: 14 Sep 2018 12:24

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