covid_travel_mackenzie_2021
96,940 responses from 1,310 respondents to 74 items.
About this table
| Description | Travel Attitudes during COVID-19 |
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| Reference | MacKenzie, D., Jabbari, P., & Ranjbari, A. (2020). Analyzing the Long-Term Impacts of COVID-19 Disruption on Travel Patterns. |
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| Licence | CC0 1.0 |
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| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/FN8RZK&version=3.0 |
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Size and shape
| Responses | 96,940 |
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| Respondents | 1,310 |
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| Items | 74 |
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| Response categories | 6 |
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| Responses per respondent | 74 |
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| Responses per item | 1,310 |
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| Density | 1 |
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| Longitudinal | TRUE |
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Classification
| age range | Adult (18+) |
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| sample | Internet-based |
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| construct type | Behavioral, Opinion/attitude |
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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 |
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| construct name | Travel Attitudes during COVID-19 |
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Columns
cov_agecov_commute_leave_timecov_commute_milescov_covidcov_educov_gendercov_incomecov_jobcov_living_situationcov_living_spacecov_racedateiditemresp
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("covid_travel_mackenzie_2021")
# Python
pip install irw
import irw
df = irw.fetch("covid_travel_mackenzie_2021")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse v53.0 |
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| Redivis dataset DOI | 10.57761/4g08-xt41 |
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| Manifest pin for this IRW version | v53.0 |
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| Metadata source | irw_meta v23.0 |
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