Item Response Warehouse / Tables / li_2025_socmedia_revisitli_2025_socmedia_revisit
1,305 responses from 435 respondents to 3 items.
About this table
Description 3-item revisit-intention scale (1-5 Likert), same sports-tourism social-media sample as li_2025_socmedia_usefulness, n=435 Reference Li X, et al (2025). The impact of social media on university students' revisit intention in sports tourism: A hybrid method based on SEM and ANN. PLOS ONE. DOI 10.1371/journal.pone.0321999 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0321999
Size and shape
Responses 1,305 Respondents 435 Items 3 Response categories 5 Responses per respondent 3 Responses per item 435 Density 1 Longitudinal FALSE
Classification
sample Educational measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) chi
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
Instrument Revisit intention scale (Nazarian et al., 2024) Mean words per item 12.667 Mean characters per item 69.333 Mean characters per response 3.200 Flesch-Kincaid grade level 8.292
Columns
cov_completion_time_s cov_gender cov_grade cov_school_level cov_source_region cov_subject 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("li_2025_socmedia_revisit")
# Python
pip install irw
import irw
df = irw.fetch("li_2025_socmedia_revisit")
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.