choy_2022_extraneous_events
1,559 responses from 402 respondents to 4 items.
About this table
| Description | Perceived extraneous demotivating events (disease/unrest/economic threats) for tourism career choice (4 items 6-pt Likert) N=402 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 | 1,559 |
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| Respondents | 402 |
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| Items | 4 |
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| Response categories | 6 |
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| Responses per respondent | 3.878 |
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| Responses per item | 389.750 |
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| Density | 0.970 |
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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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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Extraneous Events scale |
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| Mean words per item | 15 |
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| Mean characters per item | 94 |
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| Mean characters per response | 6.500 |
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| Flesch-Kincaid grade level | 11.056 |
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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_extraneous_events")
# Python
pip install irw
import irw
df = irw.fetch("choy_2022_extraneous_events")
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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