Item Response Warehouse / Tables / qin_2025_behavioral_intentionqin_2025_behavioral_intention
1,641 responses from 547 respondents to 3 items.
About this table
Description Behavioral intention toward cultural heritage tourism in Ningxia (BI scale); N=547, 3 items, 1-6 Likert Reference Qin, L.; Zhang, H. (2025). Impact of rich cultural tourism experience on tourist satisfactions and behavioral intentions toward Ningxia's cultural heritage: Moderation role of perceived cultural distance. PLOS One. DOI: 10.1371/journal.pone.0336220 DOI 10.1371/journal.pone.0336220 Licence CC BY 4.0 Source data https://plos.figshare.com/articles/dataset/Questionnaire_Results_/26396855
Size and shape
Responses 1,641 Respondents 547 Items 3 Response categories 6 Responses per respondent 3 Responses per item 547 Density 1 Longitudinal FALSE
Classification
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 Behavioral intention scale (Qin & Zhang 2025 Ningxia cultural heritage tourism questionnaire, 3 items) Mean words per item 14 Mean characters per item 73.333 Mean characters per response 2 Flesch-Kincaid grade level 7.570
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("qin_2025_behavioral_intention")
# Python
pip install irw
import irw
df = irw.fetch("qin_2025_behavioral_intention")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_2 v19.0 Redivis dataset DOI 10.57761/qtx5-4m80 Manifest pin for this IRW version v19.0 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_2 v19.0.