fang_2022_achievement_emotions

14,784 responses from 448 respondents to 33 items.

About this table

DescriptionAchievement Emotions Questionnaire (AEQ; 33 items, 1-6); item codes encode emotion type (PE/PD/PN/NE/ND/NN) and academic context (class/homework/studying/assessment); Chinese university students N=448
ReferenceFang et al. (2022). Chinese Achievement Emotions. figshare (University of Auckland). doi:10.17608/k6.auckland.19546393.v1
LicenceCC BY 4.0
Source datahttps://auckland.figshare.com/articles/dataset/Chinese_Achievement_Emotions/19546393

Size and shape

Responses14,784
Respondents448
Items33
Response categories6
Responses per respondent33
Responses per item448
Density1
LongitudinalFALSE

Classification

sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi

Columns

cov_ckccov_facultycov_majorcov_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("fang_2022_achievement_emotions")
# Python
pip install irw

import irw
df = irw.fetch("fang_2022_achievement_emotions")

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