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Statistics and Statistical Programming (Spring 2019)
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== Note on finding a dataset == In order to complete your project, you will each need a dataset. If you already have a dataset for the project you plan to conduct, great! If not, there are many datasets to draw from. Some ideas are below. Jeremy and Aaron will also be available to help you brainstorm/find resources if needed: * Ask your advisor for a dataset they have collected and used in previous papers. Are there other variables you could use? Other relationships you could analyze? * If there's an important study you loved, you can send a polite email to the author(s) asking if they are willing and able 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 it might turn into a paper for publication. Make your timeline clear. In Communication and HCI, replication datasets are still very rare, so be prepared for a negative answer and/or questions about your motives in conducting the analysis. * Do some Google Scholar and normal internet searching for datasets in your research area. You'll probably be surprised at what's available. * Take a look at datasets available in the [https://dataverse.harvard.edu/ Harvard Dataverse] (a very large 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 at the University of Michigan] (NU is a member). There are an enormous number of very rich datasets. * Use the [http://scientificdata.isa-explorer.org/index.html ISA Explorer] to find datasets. Keep in mind the large majority of datasets it will search are drawn from the natural sciences. * The City of Chicago has one of the best [https://data.cityofchicago.org/ data portal sites] of any municipality in the U.S. (and better than many federal agencies). There are also numerous administrative datasets released by other public entities (try searching!) that you might find inspiring. <!--- * <TODO fix/update accordingly> Set up a meeting with Jennifer Muilenburg β 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 I've have talked to her about this course and she is excited about meeting with you to help. --> * [http://fivethirtyeight.com FiveThirtyEight.com] has published a [https://cran.r-project.org/web/packages/fivethirtyeight/vignettes/fivethirtyeight.html GitHub repository and an R package] with pre-processed and cleaned versions of many of the datasets they use for articles published on their website. === Human subjects research, IRB, and ethics === In general, you are responsible for making sure that you're on the right side of the IRB requirements and that your work meets applicable ethical norms and standards. Class projects generally do not need IRB approval, but research for publications, dissertations, and sometimes even pilot studies generally fall under IRB purview. You should ''not'' plan to seek IRB approval/determination retroactively. If your study may involve human subjects and you may ever publish it in any form, you will need IRB oversight of some sort. Secondary analysis of anonymized data is generally not considered human subjects research, but I strongly suggest that you get a determination from [https://irb.northwestern.edu/ the Northwestern IRB] before you start. For work that is not considered human subjects research, this can often happen in a few hours or days. If you need to list a faculty sponsor or Principal Investigator, that should ideally be your advisor. If that doesn't make sense for some reason, please talk to me.
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