The use of electronic books (eBooks) in social science research
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The use of electronic books (eBooks) in social science research
Richard Parker*Danius Michaelides†
Huanji Yang†Alex Frazer†Luc Moreau†
Camille Szmaragd*ZhengZheng Zhang*
Christopher Charlton*William Browne*
*Centre for Multilevel Modelling,University of Bristol, UK
†School of Electronics & Computer Science,University of Southampton, UK
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Template
Dataset
Stat-JR: to re-cap…
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Stat-JR writes commands, etc.,
to perform requested function
Template
Dataset
Stat-JR prompts user
for input Function performed
(If applicable) external software
opened, run, then closed, with results returned to Stat-JR. E.g…
Results of function
produced
(If applicable) results outputted as dataset to be fed back in…
myModel<- glm(normexam~Summary(myModel)plot(myModel,1) Select Open Worksheet
Select datafile.dtaSelect Equations from Fi
EquationsMacrosScripts Point & click instructions
ResultsModel:DIC: 9766.506Parameters:Beta1: 0.594
ChartsResults tables
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Stat-JR’s eBook interface: DEEP
Documents withEmbeddedExecution andProvenance
Embeds Stat-JR’s statistical functionality within a ‘traditional’ notebook…
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…so we first import one…
No eBooks loaded yet…
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Navigate through pages of eBook
Hierarchical table of contents (can be expanded / collapsed at each node)
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Behind the scenes…
• The eBook author (me) has specified which Stat-JR template to associate with this region of the eBook…
• …and has chosen one which creates plots via (“PlotsViaR”).
• Templates require input, from a user, before they can go ahead & perform the function appropriately…
• …the eBook author can pre-specify inputs (by writing them into the eBook code); any that are not pre-specified are then left to the eBook reader to complete.
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Stat-JR writes commands, etc.,
to perform requested function
Template
Dataset
Stat-JR prompts user
for input Function performed
(If applicable) external software
opened, run, then closed, with results returned to
Stat-JR.
Results of function
produced
(If applicable) results outputted as dataset to be fed back in…
myModel<- glm(normexam~Summary(myModel)plot(myModel,1) Select Open Worksheet
Select datafile.dtaSelect Equations from Fi
EquationsMacrosScripts Point & click instructions
ResultsModel:DIC: 9766.506Parameters:Beta1: 0.594
ChartsResults tables
Stat-JR: to re-cap…
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Behind the scenes…
• …the eBook author has associated relevant model-fitting Stat-JR templates with this region of the eBook…
• …and has pre-specified all of the inputs, bar the explanatory variables, which are therefore the only ones left to eBook reader to specify.
• Author has also specified what / where / when the output resulting from a template’s execution will be presented in the eBook…
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Stat-JR writes commands, etc.,
to perform requested function
Template
Dataset
Stat-JR prompts user
for input Function performed
(If applicable) external software
opened, run, then closed, with results returned to
Stat-JR.
Results of function
produced
(If applicable) results outputted as dataset to be fed back in…
myModel<- glm(normexam~Summary(myModel)plot(myModel,1) Select Open Worksheet
Select datafile.dtaSelect Equations from Fi
EquationsMacrosScripts Point & click instructions
ResultsModel:DIC: 9766.506Parameters:Beta1: 0.594
ChartsResults tables
Stat-JR: to re-cap…
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Content of text returned is conditional on value of results
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Stat-JR’s DEEP system:Summary of features
• Built on Stat-JR’s powerful & flexible data-analytical engine.
• Embeds inputs and outputs of Stat-JR’s executable statistical functions within contextual information.
• Tailoring & specificity: e.g. associating carefully-chosen templates; pre-specifying inputs.
• Log / recording tool: behind-the-scenes, a comprehensive record is kept of each execution.
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Stat-JR’s DEEP system:
• Teaching of quantitative social science research methods (including inter-operating software).
• Communicating principles / theories / inviting exploration of quantitative social science topics.
• Reports: transparency (e.g. access to embedded dataset / analytical methods, etc); facilitates multi-authored preparation.
• Tailored analytical techniques: pre-specifications allow user to ‘cut to the chase’ and/or circumvent software-specific learning curve.
Benefits for the social science researcher?
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…so how do I use them?See http://www.bristol.ac.uk/cmm/research/estat/downloads/index.html …
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…so how do I use them?See http://www.bristol.ac.uk/cmm/research/estat/downloads/index.html …for: Software download & installation instructions; eBook reading & authoring guidance; Example eBooks.
eBook authoring: is it easy? Depends what you want to do!…eBook-writing tool can help set-up basic eBook structure…although more sophisticated functionality will take time to implement. User Guides, and the example eBooks (which can open & look ‘under the bonnet’), are there to help.