penningroth_2019_pm_goals

1,335 responses from 89 respondents to 15 items.

About this table

DescriptionReal-life prospective memory task recall study, 15 binary goal-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
primary language(s)eng

Item text

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

InstrumentSurvey on Real-Life Activities: goal-relatedness form for self-listed real-life prospective memory tasks
Mean words per item1.800
Mean characters per item15.267
Mean characters per response36.500
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_goals")
# Python
pip install irw

import irw
df = irw.fetch("penningroth_2019_pm_goals")

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