itemrandom_buchanan_2018_PIL

48,268 responses from 2,438 respondents to 20 items.

One of 2 tables from the same source; this one measures Purpose in Life. The others are listed under Related tables.

About this table

DescriptionPurpose in Life Test: 20 items rating perceived meaning and purpose, 1–7 scale.
ReferenceBuchanan, E. M., Foreman, R. E., Huber, B. N., Pavlacic, J. M., Swadley, R. N., and Schulenberg, S. E., “Does the Delivery Matter? Examining Randomization at the Item Level”, <i>EarthArXiv eprints</i>, Art. no. P93DF, 2017. doi:10.31219/osf.io/p93df.
DOI10.31219/osf.io/p93df
LicenceCC BY 4.0
Source datahttps://osf.io/gvx7s/

Size and shape

Responses48,268
Respondents2,438
Items20
Response categories7
Responses per respondent19.798
Responses per item2413.400
Density0.990
LongitudinalFALSE

Classification

sampleTargeted/specific
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct namePurpose in Life

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, itemrandom_buchanan_2018.py. 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.

ColumnWhat it isSource column
IRW standard columns
idIRW 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
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
treatIRW standard Treatment group assignment in experimental studies.made in the build script
Respondent covariates
cov_modeCovariate made in the build script
cov_yearCovariate made in the build script

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

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("itemrandom_buchanan_2018_PIL")
# Python (needs a free Redivis account)
pip install irw

import irw
df = irw.fetch("itemrandom_buchanan_2018_PIL")

How to cite

@article{Buchanan_2017, title={Does the Delivery Matter? Examining Randomization at the Item Level}, url={http://dx.doi.org/10.31219/osf.io/p93df}, DOI={10.31219/osf.io/p93df}, publisher={California Digital Library (CDL)}, author={Buchanan, Erin Michelle and Foreman, Riley E. and Huber, Becca Nicole and Pavlacic, Jeffrey Michael and Swadley, Rachel N. and Schulenberg, Stefan E.}, year={2017}, month=Nov }

Version and provenance

IRW versionv540
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v37.0