Qualtrics Messy Data My friend Devon Cantwell reached out with an interesting messy data caused by how Qualtrics produces “select all that apply” variables. For example, in her (mock) survey, she asks students to select all the colors that they personally find attractive from a list.
Introduction Researchers might be interested in developing a descriptive understanding of the gender and race composition of a particular industry, organization, or other institution. Oftentimes this is done with sampling from a population.
Presented at the Political Research Colloquium, University of Utah, Oct. 30, 2020
Presented as part of the “Uncovering the Hidden Curriculum” workshop, hosted by the Department of Political Science at the University of Utah, October 23, 2020. Thank you to Devon Cantwell for helping make this happen!
Libraries library(tidytext) library(ggthemes) library(tidyverse) library(ggplot2) library(dplyr) library(scales) Load Previous STM Objects I have previously run stm models for topics ranging from 3 to 25. Based on the fit indices, a six-topic model was selected.
In survey research, we sometimes want to present varying conditions in a short descriptive text, often called a vignette, and measure the effects of those conditions on an outcome of interest.