CommunityData:StatsGaps: Difference between revisions

From CommunityData
No edit summary
No edit summary
Line 9: Line 9:
* '''Refresh''' -- overview and shore up your stats knowledge if it feels rusty
* '''Refresh''' -- overview and shore up your stats knowledge if it feels rusty
* '''Stronger''' -- your stats knowledge is strong but your class stopped before you got to good stuff you see used in lots of the papers in this group, like regression)
* '''Stronger''' -- your stats knowledge is strong but your class stopped before you got to good stuff you see used in lots of the papers in this group, like regression)
 
Meet at http://meet.jit.si/cdsc on Monday at 11:00 Pacific -- 1 Central.
 
Schedule:
[[CommunityData:StatsGaps#Week 1|7/15 -- Discuss weeks 1, 2, and 3]]
7/22 -- Discuss weeks 4 and 5
7/29 -- Discuss week 6
8/5 -- Discuss week 7
8/12 -- Discuss week 8
8/19 -- Discuss weeks 9 and 10
8/26 -- Circle back and pick up dropped threads, discuss next steps -- what's out there, what do you need to know, etc.
 
=== Week 1 ===
=== Week 1 ===



Revision as of 05:20, 11 July 2019

Welcome to the StatsGaps StudyGroup page -- a set of suggested learning pathways making use of course resources produced by community data faculty, meant to be used by folks who have a mixture of familiarity and non-familiarity with R, statistics, and research processes. The primary text is: [Open Intro to Statistics]

We borrow heavily from the course most recently taught by Aaron: [[1]]

Follow the strand(s) that apply to you:

  • Learn R -- you don't know R
  • Learn Stats -- you haven't taken much if any statistics, or otherwise feel you're mostly starting from scratch
  • Refresh -- overview and shore up your stats knowledge if it feels rusty
  • Stronger -- your stats knowledge is strong but your class stopped before you got to good stuff you see used in lots of the papers in this group, like regression)

Meet at http://meet.jit.si/cdsc on Monday at 11:00 Pacific -- 1 Central.

Schedule: 7/15 -- Discuss weeks 1, 2, and 3 7/22 -- Discuss weeks 4 and 5 7/29 -- Discuss week 6 8/5 -- Discuss week 7 8/12 -- Discuss week 8 8/19 -- Discuss weeks 9 and 10 8/26 -- Circle back and pick up dropped threads, discuss next steps -- what's out there, what do you need to know, etc.

Week 1

All:

  • Kramer, Adam D. I., Jamie E. Guillory, and Jeffrey T. Hancock. 2014. Experimental Evidence of Massive-Scale Emotional Contagion through Social Networks. Proceedings of the National Academy of Sciences 111(24):8788–90. [Open Access] If you haven't read this, you should--also, check the 'Editorial expression of concern' at the top and toss "kramer guillory hancock 2014" if you want to see the firestorm that this article created.-khc

Learn R:

Learn Stats:

  • Diez, Barr, and Çetinkaya-Rundel: §1 (Introduction to data)
  • [Do Problem Set 1]

Refresh:

Stronger:

  • [Skim Problem Set 1] -- since we may discuss it f2f. Take a look at the text's Chapter 1 if you find any of the questions to be confusing or the answer you came up with is different than the key.


Extra Resources:

Week 2: Probability and Visualization

All:

  • Shaw, Aaron and Yochai Benkler. 2012. A tale of two blogospheres: Discursive practices on the left and right. American Behavioral Scientist. 56(4): 459-487. [[2]]

Learn R:

Learn Stats:

Refresh:

Stronger:


Extra Resources:

  • Seeing Theory §1 (Basic Probability) and §2 (Compound Probability). (Note: this site provides a beautiful visual introduction to core concepts in probability and statistics).
  • Buechley, Leah and Benjamin Mako Hill. 2010. “LilyPad in the Wild: How Hardware’s Long Tail Is Supporting New Engineering and Design Communities.” Pp. 199–207 in Proceedings of the 8th ACM Conference on Designing Interactive Systems. Aarhus, Denmark: ACM. [PDF]
  • Mine Çetinkaya-Rundel's OpenIntro §2 Lecture Notes
  • Video Lectures including 2 short videos for §2

Week 3: Distributions

All: (N/A)

Learn R:

Learn Stats:

Refresh:

Stronger:


Extra Resources: