choy_2022_affect
1,097 responses from 366 respondents to 3 items.
About this table
| Description | Tourism students' affective response to career choice (3 items 6-pt Likert Disagree strongly-Agree strongly) N=366 Hong Kong students |
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| Reference | Choy MW et al. (2022) Career choice of tourism students in a triple-whammy crisis. PLOS ONE. |
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| DOI | 10.1371/journal.pone.0279411 |
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| Licence | CC BY 4.0 |
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| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0279411.s001 |
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Size and shape
| Responses | 1,097 |
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| Respondents | 366 |
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| Items | 3 |
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| Response categories | 6 |
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| Responses per respondent | 2.997 |
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| Responses per item | 365.667 |
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| Density | 0.999 |
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| Longitudinal | FALSE |
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Classification
| sample | Educational |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng, chi |
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Columns
cov_agecov_gendercov_hotel_disciplinecov_programiditemresp
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("choy_2022_affect")
# Python
pip install irw
import irw
df = irw.fetch("choy_2022_affect")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_3 v7.0 |
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| Redivis dataset DOI | 10.57761/pqqn-pm43 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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