book_banning: Book Banning Data
In bayesrules: Datasets and Supplemental Functions from Bayes Rules! Book

Description Usage Format Source

The book banning data was collected by Fast and Hegland as part of a course project at St Olaf College, and distributed with "Broadening Your Statistical Horizons" by Legler and Roback. This data set includes the features and outcomes for 931 book challenges (ie. requests to ban a book) made in the US between 2000 and 2010. Information on the books being challenged and the characteristics of these books were collected from the American Library Society. State-level demographic information and political leanings were obtained from the US Census Bureau and Cook Political Report, respectively. Due to an outlying large number of challenges, book challenges made in the state of Texas were omitted.

1	book_banning

A data frame with 931 rows and 17 variables. Each row represents a single book challenge within the given state and date.

title: title of book being challenged
book_id: identifier for the book
author: author of the book
date: date of the challenge
year: year of the challenge
removed: whether or not the challenge was successful (the book was removed)
explicit: whether the book was challenged for sexually explicit material
antifamily: whether the book was challenged for anti-family material
occult: whether the book was challenged for occult material
language: whether the book was challenged for inapropriate language
lgbtq: whether the book was challenged for LGBTQ material
violent: whether the book was challenged for violent material
state: US state in which the challenge was made
political_value_index: Political Value Index of the state (negative = leans Republican, 0 = neutral, positive = leans Democrat)
median_income: median income in the state, relative to the average state median income
hs_grad_rate: high school graduation rate, in percent, relative to the average state high school graduation rate
college_grad_rate: college graduation rate, in percent, relative to the average state college graduation rate

Shannon Fast and Thomas Hegland (2011). Book Challenges: A Statistical Examination. Project for Statistics 316-Advanced Statistical Modeling, St. Olaf College. Julie Legler and Paul Roback (2019). Broadening Your Statistical Horizons: Generalized Linear Models and Multilevel Models. https://bookdown.org/roback/bookdown-bysh/. https://github.com/proback/BeyondMLR/blob/master/data/bookbanningNoTex.csv/

bayesrules documentation built on Sept. 25, 2021, 9:06 a.m.