About this table

Description	Travel Attitudes during COVID-19
Reference	MacKenzie, D., Jabbari, P., & Ranjbari, A. (2020). Analyzing the Long-Term Impacts of COVID-19 Disruption on Travel Patterns.
Licence	CC0 1.0
Source data	https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/FN8RZK&version=3.0

Size and shape

Responses	96,940
Respondents	1,310
Items	74
Response categories	6
Responses per respondent	74
Responses per item	1,310
Density	1
Longitudinal	TRUE

Classification

age range	Adult (18+)
sample	Internet-based
construct type	Behavioral, Opinion/attitude
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	eng
construct name	Travel Attitudes during COVID-19

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

Instrument	PacTrans COVID-19 Survey (Analyzing the Long-Term Impacts of COVID-19 Disruption on Travel Patterns)
Mean words per item	22.432
Mean characters per item	135.973
Mean characters per response	13.257
Flesch-Kincaid grade level	10.014

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, covid_travel_mackenzie_2021.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

Column	What it is	Source column
IRW standard columns
`date`	IRW standard Calendar time in seconds — either seconds elapsed since data collection start (relative) or Unix time (absolute).	`timestamp_unix`
`id`	IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).	made in the build script
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age`	Covariate	`age`
`cov_commute_leave_time`	Covariate	`commute_leave_time`
`cov_commute_miles`	Covariate	`commute_miles`
`cov_covid`	Covariate	`COVID`
`cov_edu`	Covariate	`edu`
`cov_gender`	Covariate	`gender`
`cov_income`	Covariate	`hh_income`
`cov_job`	Covariate	`current_job`
`cov_living_situation`	Covariate	`living_situation`
`cov_living_space`	Covariate	`living_space`
`cov_race`	Covariate	`race`

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# 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")

How to cite

@misc{MacKenzie2020,
  author = {MacKenzie, D. and Jabbari, P. and Ranjbari, A.},
  title = {Analyzing the Long-Term Impacts of COVID-19 Disruption on Travel Patterns},
  year = {2020},
  url = {https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/FN8RZK&version=3.0}
}

Version and provenance

IRW version	v557
Redivis dataset	item_response_warehouse v70.0
Redivis dataset DOI	10.57761/4qxs-pq87
Manifest pin for this IRW version	v70.0
Metadata source	irw_meta v40.0