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| == Programming Challenges ==
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| Because this is our first week, there are no real programming challenges this week. What we have instead are some setup tasks you'll need to do before class.
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| :'''PC1.''' Download and install R — You can do that from [https://cran.rstudio.com/ this webpage] where you will have to choose based on your operating system.
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| :'''PC2.''' Download and install RStudio — Download and run the "installer" from the "Installers" sections of [https://www.rstudio.com/products/rstudio/download/ the RStudio download page]. You'll want to choose the one that is appropriate for your operating systems (e.g., Windows, Mac OSX, or GNU/Linux).
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| :'''PC3.''' Get setup with git and Github — You should do two things before class.
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| :* First, [https://github.com/join?source=button-pricing create an account on Github.com]
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| :* Installing [https://desktop.github.com/ GitHub Desktop] which includes versions for Windows and Mac. If you use Linux, contact me. Completing the setup will involve logging in your Github account.
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| == Statistical Questions == | | == Statistical Questions == |
| === Exercises from OpenIntro §1 === | | === Excercises from OpenIntro §1 === |
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| :'''Q0.''' Any questions or clarifications from the OpenIntro text or lecture notes?
| | Several of these questions draw from Study 4 of the following paper (although I don't think it critical to look back at that paper to answer of the questions): |
| :'''Q1.''' Exercise 1.6 about identifying cases, variables, types, and research questions
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| :'''Q2.''' Exercise 1.12 about populations, samples, and generalizability
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| :'''Q3.''' Exercise 1.52 about means and medians from a histogram
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| :'''Q4.''' Exercise 1.56 about skewness and choosing appropriate statistics | |
| :'''Q5.''' Exercise 1.64 about selecting certain types of visualization over others
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| Several of these questions draw from Study 4 of the following paper (although I don't think it critical to look back at that paper to answer of the questions):
| | :Piff, Paul K., Daniel M. Stancato, Stéphane Côté, Rodolfo Mendoza-Denton, and Dacher Keltner. 2012. “Higher Social Class Predicts Increased Unethical Behavior.” ''Proceedings of the National Academy of Sciences'' 109(11):4086–91. [[http://doi.org/10.1073/pnas.1118373109 Available through UW Libraries]] |
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| :Piff, Paul K., Daniel M. Stancato, Stéphane Côté, Rodolfo Mendoza-Denton, and Dacher Keltner. 2012. “Higher Social Class Predicts Increased Unethical Behavior.” ''Proceedings of the National Academy of Sciences'' 109(11):4086–91. [[http://www.pnas.org/content/109/11/4086.full Available through UW Libraries]]
| | # Exercise 1.6 about identifying cases, variables, types, and research questions |
| | # Exercise 1.12 about populations, samples, and generalizability |
| | # Exercise 1.52 about means and medians from a histogram |
| | # Exercise 1.56 about skewness and choosing appropriate statistics |
| | # Excercise 1.64 about selecting certain types of visualizations over others |
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| === Empirical Paper === | | === Empirical Paper === |
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| Hopefully many of you will have read this paper already. It's probably the most highly cited (and publicly discussed) paper to come out of communication over the last few years:
| | :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. [[http://doi.org/10.1073/pnas.1320040111 Available through UW libraries]] |
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| :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. [[http://www.pnas.org/content/111/24/8788.full Available through UW libraries]]
| | == Programming Challenges == |
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| Although there are major ethical concerns with the paper, and we'll be coming back and talking about it a number of times this quarter, let's focus on the key issues of research design and the substantive takeaway.
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| For this paper, answer each of these questions and be ready to cite parts of the paper that support each claim:
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| :'''Q6.''' Identify (a) the cases, (b) the variables and their types, and (c) the main research question of this piece.
| | Because this is our first week, there are no programming challenges this week. |
| :'''Q7.''' (a) What do the treatment and control groups consist of in this study? (b) What type of sampling does the study use? (c) Describe the experimental manipulation.
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| :'''Q8.''' Identify (a) the population of interest and (b) the sample used in the study. (c) Do you think that this study can be generalized from the sample to the population?
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| :'''Q9.''' There is one figure in the paper (Figure 1). Walk us through the figure and explain what it represents and reflects.
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| :'''Q10.''' (a) Summarize the results of the study. (b) What is the size of the effect? Is this meaningful? (c) Describe what you think the important takeaway from the paper is.
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