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: | ;Presentation due date: Thursday, June 6, 2019 | ||
;Maximum length: | ;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. | ||
'' | '' 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. | ||
=== Grading === | === Grading === | ||
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=== Week 4: Thursday April 25: Statistical significance and hypothesis testing === | === Week 4: Thursday April 25: Statistical significance and hypothesis testing === | ||
* [[Statistics and Statistical Programming (Spring 2019)/Session plan: Week 4]] | * [[Statistics and Statistical Programming (Spring 2019)/Session plan: Week 4|Session plan]] | ||
'''Required Readings:''' | '''Required Readings:''' | ||
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=== Week 6: Thursday May 9: Categorical data === | === Week 6: Thursday May 9: Categorical data === | ||
* [[ | * [[Session Plan: Week 6|Session plan]] | ||
'''Required Readings:''' | '''Required Readings:''' | ||
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=== Week 7: Thursday May 16: Linear Regression === | === Week 7: Thursday May 16: Linear Regression === | ||
'''Required Readings:''' | '''Required Readings:''' | ||
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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 === | ||
'''Required Readings:''' | '''Required Readings:''' | ||
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'''Lectures:''' | '''Lectures:''' | ||
*[https://communitydata. | |||
<!--- | |||
* [[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: | === Week 9: Thursday May 30: TBA === | ||
Reserved for catch-up, supplementary topics, and final presentations. | |||
'''Required readings:''' | '''Required readings:''' | ||
* Reinhart, §10 and §11. | * Reinhart, §10 and §11. | ||
=== Week 10: Thursday June 6: Final Presentations === | |||
=== Week 10: Thursday June 6: | |||
Followed by much rejoicing! | Followed by much rejoicing! |