Item Response Warehouse / Tables / roettl_2018_game_attituderoettl_2018_game_attitude
1,399 responses from 234 respondents to 6 items.
About this table
Description 6-item game-attitude semantic-differential scale (1-7) from a between-subjects 2D/3D/VR video game evaluation study, with cov_condition Reference Roettl J, Terlutter R (2018) The same video game in 2D, 3D or virtual reality - How does technology impact game evaluation and brand placements? PLoS ONE. DOI 10.1371/journal.pone.0200724 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0200724.s004&type=supplementary
Size and shape
Responses 1,399 Respondents 234 Items 6 Response categories 7 Responses per respondent 5.979 Responses per item 233.167 Density 0.996 Longitudinal FALSE
Classification
sample Educational measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) ger
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
Instrument Attitude toward the game (semantic differential; Gross, 2010) Mean words per item 3.167 Mean characters per item 21.833 Mean characters per response 4.738 Flesch-Kincaid grade level 54.392
Columns
cov_condition id item resp
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("roettl_2018_game_attitude")
# Python
pip install irw
import irw
df = irw.fetch("roettl_2018_game_attitude")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_4 v7.0 Redivis dataset DOI 10.57761/cpj5-vm97 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_4 v7.0.