Editing Statistics and Statistical Programming (Winter 2017)
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* In terms of the structure of the paper, please see the page that I've written on the [[structure of a quantitative empirical research paper]]. | * In terms of the structure of the paper, please see the page that I've written on the [[structure of a quantitative empirical research paper]]. | ||
* In terms of the structure of your presentation, you've got some latitude but this document on [https://canvas.uw.edu/files/40848246/download?download_frd=1 Creating a Successful Scholarly Presentation] (link is in Canvas) will likely be useful. | * In terms of the structure of your presentation, you've got some latitude but this document on [https://canvas.uw.edu/files/40848246/download?download_frd=1 Creating a Successful Scholarly Presentation] (link is in Canvas) will likely be useful. | ||
==== Finding a Dataset ==== | |||
In order to complete your project, you will each need a dataset. If you are at the stage of your career where you already have a dataset, great! If not, there are many datasets to draw from. Here are some ideas: | |||
* Ask your advisor for a dataset they have collected and used in a previous papers. Are there other variables you could use? | |||
* If there's an author of a study you loved, you can send a polite email asking if they are able or willing to share an archival or replication version of the dataset used in their paper. Be very polite and make it clear that this is starting as a class project but that might turn into a paper for publication. Make your timeline clear. In communication, replication datasets are still very rare so be prepared for a negative answer. | |||
* Do some Google Scholar and normal Google searching for datasets in your research area. You'd be surprised at what's available. | |||
* Take a look at datasets available in the [https://dataverse.harvard.edu/ Harvard Dataverse] (the largest collection of social science research data) or one of the other members of the [http://dataverse.org/ Dataverse network]. | |||
* Look at the collection of social scientific datasets at [https://www.icpsr.umich.edu/icpsrweb/ICPSR/ ICPSR] (UW is a member). There are an enormous number of very rich datasets. | |||
* The the [http://scientificdata.isa-explorer.org/index.html ISA Explorer] to find datasets. Keep it mind the large majority of datasets it will search are drawn from the natural sciences. | |||
* Set up a meeting with Jennifer Muilenburg — Data Curriculum and Communications Librarian who runs [https://www.lib.washington.edu/digitalscholarship/services/data research data services at the UW libraries]. Her email is: libdata@uw.edu | |||
In general, you're responsible for make sure that you're on the right side of the human subject rules and that work work is ethical. Class projects generally do not need IRB approval but I hope that each of your projects will turn into something more. If your study involves human subjects research, ''that'' work will need IRB oversight of some sort. | |||
=== Grading === | === Grading === |