alsuhibani_2022_loc

61,680 responses from 2,570 respondents to 24 items.

About this table

Description24-item Multidimensional Locus of Control Scale (MLCS)-- combined across Studies 1-3 (confirmed identical administration; ids offset per study)
ReferenceAlsuhibani A, Shevlin M, Freeman D, Sheaves B, Bentall RP (2022). Why conspiracy theorists are not always paranoid: Conspiracy theories and paranoia form separate factors with distinct psychological predictors. PLOS ONE, 17(4), e0259053. https://doi.org/10.1371/journal.pone.0259053
DOI10.1371/journal.pone.0259053
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0259053.s002

Size and shape

Responses61,680
Respondents2,570
Items24
Response categories6
Responses per respondent24
Responses per item2,570
Density1
LongitudinalFALSE

Classification

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

Item text

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

InstrumentMultidimensional Locus of Control Scale (Levenson IPC Scale)
Mean words per item14.875
Mean characters per item76.875
Mean characters per response15.500
Flesch-Kincaid grade level7.002

Columns

cov_agecov_sexiditemresp

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("alsuhibani_2022_loc")
# Python
pip install irw

import irw
df = irw.fetch("alsuhibani_2022_loc")

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