Publications by Eric Rawn (
Replication of Metaxa-Kakavouli (2018)
Introduction In this ACM CHI 2018 study, “Gender-Inclusive Design Sense of Belonging and Bias in Web Interfaces”, the authors examine the perception of introductory Computer Science course sites, specifically the sense of community belonging by young women when shown websites coded as neutral and masculine (between subjects). Participants rev...
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Eric Rawn - PSYCH251 Problem Set 2
In this assignment we’ll learn about dplyr and tidyr, two packages from the tidyverse that allow elegant and easily understandable data tidying and manipulation. We’ll do this by working through the steps of loading an actual dataset, tidying it up, and carrying out some basic analyses. The dataset we’re using comes from the OSF Reproducibl...
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metaxa-kakavouli2018 Replication
Introduction In this study, the authors examine the perception of introductory Computer Science course sites, specifically the sense of community belonging by young women when shown websites coded as neutral and masculine (between subjects). Beyond an interest in HCI broadly, I am interested in this study for its focus on gendered bias in digital...
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Reproducibility Report Group B Choice 3
For this exercise, please try to reproduce the results from Experiment 2 of the associated paper (de la Fuente, Santiago, Roman, Dumitrache, & Casasanto, 2014). The PDF of the paper is included in the same folder as this Rmd file. Methods summary: Researchers tested the question of whether temporal focus differs between Moroccan and Spanish cult...
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Reproducibility Report Group A
For this exercise, please try to reproduce the results from Study 1 of the associated paper (Joel, Teper, & MacDonald, 2014). The PDF of the paper is included in the same folder as this Rmd file. Methods summary: In study 1, 150 introductory psychology students were randomly assigned to a “real” or a “hypothetical” condition. In the real...
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Eric Rawn - PSET 4 PSYCH 251
This is problem set #4, in which we want you to integrate your knowledge of data wrangling with some basic simulation skills. It’s a short problem set to help consolidate your ggplot2 skills and then help you get your feet wet in testing statistical concepts through “making up data” rather than consulting a textbook or doing math. For ease ...
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