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Apr 2 (Monday)

Topics: hypothesis testing; confidence intervals; p-values; power

Due

Readings

• Real Stats, Ch. 4: “Hypothesis Testing and Interval estimation: Answering Research Questions”
• Wasserstein, Ronald L., and Nicole A. Lazar (2016) “The ASA’s Statement on p-Values: Context, Process, and Purpose”, American Statistician DOI:10.1080/00031305.2016.1154108
• Magnusson, Kristoffer. “Understanding Statistical Power and Significance Testing an interactive visualization“

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Apr 4 (Wednesday)

Topics:

Due

Readings

• Aschwanden, Christie (2015) “Science Isn’t Broken”, fivethirtyeight.com.
• Tversky, Amos, and Daniel Kahneman (1971) “Belief in the Law of Small Numbers” Psychological Bulletin DOI:10.1037/h0031322
• Hoekstra, Rink, Richard D. Morey, Jeffrey N. Rouder, and Eric-Jan Wagenmakers (2014) “Robust misinterpretation of confidence intervals” Psychonomic Bulletin Review DOI:10.3758/s13423-013-0572-3
• Gelman, Andrew, and Hal Stern. (2006) “The Difference Between “Significant” and “Not Significant” is not Itself Statistically Significant”, American Statistician DOI:10.1198/000313006X152649
• McCaskey, Kelly, and Carlisle Rainey (2015) “Substantive Importance and the Veil of Statistical Significance”, Statistics, Politics, and Policy DOI:10.1515/spp-2015-0001
• Rainey, Carlisle (2014) “Arguing for a Negligible Effect”, American Journal of Political Science DOI:10.1111/ajps.12102

Optional

• Gelman, Andrew. (2009) McCloskey et al. on significance testing in economics

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Apr 6 (Friday)

Topics:

Due

Readings

None