eammi_grahe_2018_npi

41,282 responses from 3,179 respondents to 13 items.

About this table

DescriptionNarcissism
ReferenceGrahe, J. E., Chalk, H. M., Cramblet Alvarez, L. D., Faas, C., Hermann, A., Ph.D., McFall, J. P., & Molyneux, K. (2019, June 13). EAMMi2 Public Data. https://doi.org/10.17605/OSF.IO/QTQPB
DOI10.5334/jopd.38
LicencePermission via Email
Source datahttps://osf.io/qtqpb/overview

Size and shape

Responses41,282
Respondents3,179
Items13
Response categories2
Responses per respondent12.986
Responses per item3175.538
Density0.999
LongitudinalTRUE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
construct typePersonality
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameNarcissism

Item text

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

InstrumentNarcissism
Mean words per item1
Mean characters per item2
Mean characters per response41.462
Flesch-Kincaid grade level-3.400

Columns

cov_agecov_armed_forces_yearscov_childhood_statecov_educationcov_gendercov_incomecov_political_ideologycov_political_partycov_president_supportcov_racecov_schoolcov_siblingscov_us_residentcov_years_in_usdateiditemresprt

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("eammi_grahe_2018_npi")
# Python
pip install irw

import irw
df = irw.fetch("eammi_grahe_2018_npi")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0