Editing Statistics and Statistical Programming (Spring 2019)

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;Maximum length: 6000 words (~20 pages)
;Maximum length: 6000 words (~20 pages)


;Presentation due date: Thursday, May 30 or Thursday, June 6, 2019
;Presentation due date: Thursday, June 6, 2019
;Maximum length: 8 minutes
;Maximum length: 12 minutes




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I do not have strong preferences about the style or formatting guidelines you follow for the paper and its bibliography. However, ''your paper must follow a standard format'' (e.g., [https://cscw.acm.org/2019/submit-papers.html ACM SIGCHI CSCW format] or [https://www.apastyle.org/index APA 6th edition] ([https://templates.office.com/en-us/APA-style-report-6th-edition-TM03982351 Word] and [https://www.overleaf.com/latex/templates/sample-apa-paper/fswjbwygndyq LaTeX] templates)) that is applicable for a peer-reviewed journal or conference proceedings in which you aim to publish the work (they all have formatting or submission guidelines published online and you should follow them). This includes the references. I also strongly recommend that you use reference management software to handle your bibliographic sources.
I do not have strong preferences about the style or formatting guidelines you follow for the paper and its bibliography. However, ''your paper must follow a standard format'' (e.g., [https://cscw.acm.org/2019/submit-papers.html ACM SIGCHI CSCW format] or [https://www.apastyle.org/index APA 6th edition] ([https://templates.office.com/en-us/APA-style-report-6th-edition-TM03982351 Word] and [https://www.overleaf.com/latex/templates/sample-apa-paper/fswjbwygndyq LaTeX] templates)) that is applicable for a peer-reviewed journal or conference proceedings in which you aim to publish the work (they all have formatting or submission guidelines published online and you should follow them). This includes the references. I also strongly recommend that you use reference management software to handle your bibliographic sources.


'' [[Statistics_and_Statistical_Programming_(Spring_2019)/Final_project_presentations|The presentation:]]'' The presentation will provide an opportunity to share a brief summary of your project and findings with the other members of the class. Since you will all give other research presentations throughout your career, I strongly encourage you to take the opportunity to refine your academic presentation skills. The document [https://canvas.northwestern.edu Creating a Successful Scholarly Presentation] (file will be posted to Canvas) may be useful.
'' The presentation:'' The presentation will provide an opportunity to share a brief summary of your project and findings with the other members of the class. Since you will all give other research presentations throughout your career, I strongly encourage you to take the opportunity to refine your academic presentation skills. The document [https://canvas.northwestern.edu Creating a Successful Scholarly Presentation] (file will be posted to Canvas) may be useful.
 
: More details about the presentation goals, format suggestions, and more are available [[Statistics_and_Statistical_Programming_(Spring_2019)/Final_project_presentations|on this page]]


=== Grading ===
=== Grading ===
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=== Week 8: Thursday May 23: Polynomial Terms, Interactions, and Logistic Regression ===
=== Week 8: Thursday May 23: Polynomial Terms, Interactions, and Logistic Regression ===
* [[Statistics_and_Statistical_Programming_(Spring_2019)/Session plan: Week 8|Session plan]]


'''Required Readings:'''
'''Required Readings:'''
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'''Lectures:'''
'''Lectures:'''
*[https://communitydata.science/~ads/teaching/2019/stats/r_lectures/w08-R_lecture.Rmd Week 8 R lecture materials]
 
<!---
* [[Statistics and Statistical Programming (Spring 2019)/R lecture outline: Week 8]]
* [https://communitydata.cc/~mako/2017-COM521/com521-week_08-more_regression_anova_redux.ogv Week 8 R lecture screencast: more on linear regression, including interactions, polynomials, log transformations; anova] (~28 minutes)
--->


'''Resources:'''
'''Resources:'''
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* Mako Hill wrote this document which will likely be useful for many of you: [https://communitydata.cc/~mako/2017-COM521/logistic_regression_interpretation.html Interpreting Logistic Regression Coefficients with Examples in R]
* Mako Hill wrote this document which will likely be useful for many of you: [https://communitydata.cc/~mako/2017-COM521/logistic_regression_interpretation.html Interpreting Logistic Regression Coefficients with Examples in R]


=== Week 9: Thursday May 30: Loose ends and Final Presentations (part 1)  ===
=== Week 9: Thursday May 30: TBA ===


* [[Statistics_and_Statistical_Programming_(Spring_2019)/Session plan: Week 9|Session plan]]
Reserved for catch-up, supplementary topics, and final presentations.


'''Required readings:'''
'''Required readings:'''
* Reinhart, §10 and §11.
* Reinhart, §10 and §11.


'''[[Statistics_and_Statistical_Programming_(Spring_2019)/Final_project_presentations|Final presentations]]: (part 1)'''
=== Week 10: Thursday June 6: Final Presentations ===
* First batch today. The rest next week.
 
'''Resources:'''
* [https://communitydata.cc/~ads/teaching/2019/stats/r_lectures/w09-R_lecture.html Week 9 R-lecture] (we will use this in class)
 
=== Week 10: Thursday June 6: Fully reproducible research example, Replications, Final Presentations (part 2), and wrap-up ===
 
* Fully [https://www.overleaf.com/read/tkdpdcspwtkp reproducible research example].
* [https://canvas.northwestern.edu/courses/90927/files/folder/resources/Straub-Cook%20Replication Research replication study] by Polly Straub-Cook (UW Comm. Ph.D. student)
:: (n.b.: cluster & heteroscedasticity robust standard errors!)
 
* '''[[Statistics_and_Statistical_Programming_(Spring_2019)/Final_project_presentations|Final presentations]]: (part 2)'''
:: Second batch of presenters today.
* Closing thoughts
:: What next? Beyond your final projects...
:: Class social gathering


Followed by much rejoicing!
Followed by much rejoicing!
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