Item Response Warehouse / Tables / liu_2022_mice_skillsliu_2022_mice_skills
1,520 responses from 95 respondents to 16 items.
About this table
Description 16-item employability-skills importance rating scale (1-5 Likert) for meetings/incentives/conferences/exhibitions (MICE) management students and professionals, N=95. Reference Liu X, Seevers R, Lin H (2022). Employability skills for MICE management in the context of ICTs. PLOS ONE 17(7):e0271430. DOI 10.1371/journal.pone.0271430 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0271430
Size and shape
Responses 1,520 Respondents 95 Items 16 Response categories 5 Responses per respondent 16 Responses per item 95 Density 1 Longitudinal FALSE
Classification
sample Educational, Workplace 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 MICE employability skills questionnaire (Liu, Seevers & Lin, 2022) Mean words per item 1 Mean characters per item 2 Mean characters per response 7.200 Flesch-Kincaid grade level -3.400
Columns
cov_age cov_gender cov_mice_degree cov_work_experience 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("liu_2022_mice_skills")
# Python
pip install irw
import irw
df = irw.fetch("liu_2022_mice_skills")
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.