penningroth_2019_pm_concerns

1,335 responses from 89 respondents to 15 items.

About this table

DescriptionReal-life prospective memory task recall study, 15 binary concern-category items (content-coded from free-recalled PM tasks), N=89
ReferencePenningroth SL, Scott WD (2019). Age-related differences in the goals and concerns that motivate real-life prospective memory tasks. PLOS ONE. https://doi.org/10.1371/journal.pone.0216888
DOI10.1371/journal.pone.0216888
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0216888.s001

Size and shape

Responses1,335
Respondents89
Items15
Response categories2
Responses per respondent15
Responses per item89
Density1
LongitudinalFALSE

Classification

sampleEducational
measurement toolSurvey/questionnaire
item formatConstructed Response
primary language(s)eng

Item text

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

InstrumentGoal/concern relatedness form for real-life prospective memory tasks (concern categories)
Mean words per item1.800
Mean characters per item15.267
Mean characters per response67.500
Flesch-Kincaid grade level33.339

Columns

cov_age_groupcov_gendercov_group_young_vs_oldercov_healthiditemresp

Get the data

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

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("penningroth_2019_pm_concerns")
# Python
pip install irw

import irw
df = irw.fetch("penningroth_2019_pm_concerns")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0