lhsbrasil_couto_2023_lhs

9,280 responses from 464 respondents to 20 items.

About this table

DescriptionLearned Helplessness Scale. The LHS can be used to measure states of learned helplessness and consists of 20 items, answered on a four-point scale (1 = Strongly disagree; 4 = Strongly agree).
ReferenceCouto, C., & Pilati, R. (2023). Adaptation of the learned helplessness scale in brazil. Psicologia: Teoria e Pesquisa, 39, e39513.
DOI10.1590/0102.3772e39513.en
LicenceCC BY 4.0
Source datahttps://osf.io/w6mqe

Size and shape

Responses9,280
Respondents464
Items20
Response categories4
Responses per respondent20
Responses per item464
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleInternet-based
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)por
construct nameLearned Helplessness Scale

Item text

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

InstrumentLearned Helplessness Scale. The LHS can be used to measure states of learned helplessness and consists of 20 items, answered on a four-point scale (1 = Strongly disagree; 4 = Strongly agree).
Mean words per item13.850
Mean characters per item67.600
Mean characters per response11
Flesch-Kincaid grade level5.833

Columns

cov_agecov_educationcov_gendercov_incomecov_stateiditemresp

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("lhsbrasil_couto_2023_lhs")
# Python
pip install irw

import irw
df = irw.fetch("lhsbrasil_couto_2023_lhs")

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