Item Response Warehouse / Tables / cooper_2018_funny_topicscooper_2018_funny_topics
55,658 responses from 1,637 respondents to 34 items.
About this table
Description 34-item binary (0/1) checklist of topics students found funny, from the same survey of gender differences in perceptions of instructor humor Reference Cooper KM, Hendrix T, Stephens MD, et al. (2018) To be funny or not to be funny: Gender differences in student perceptions of instructor humor in college science courses. PLoS ONE. DOI 10.1371/journal.pone.0201258 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0201258.s005
Size and shape
Responses 55,658 Respondents 1,637 Items 34 Response categories 2 Responses per respondent 34 Responses per item 1,637 Density 1 Longitudinal FALSE
Classification
sample Educational measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) eng
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
Instrument Humor survey: subjects students find funny (Cooper et al. 2018) Mean words per item 3.412 Mean characters per item 21.529 Mean characters per response 10 Flesch-Kincaid grade level 95.540
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("cooper_2018_funny_topics")
# Python
pip install irw
import irw
df = irw.fetch("cooper_2018_funny_topics")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_3 v7.0 Redivis dataset DOI 10.57761/pqqn-pm43 Manifest pin for this IRW version v7.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_3 v7.0.