Item Response Warehouse / Tables / okoro_2022_interest_inventoryokoro_2022_interest_inventory
3,000 responses from 100 respondents to 30 items.
About this table
Description 30-item student interest inventory, 1-4, after a randomised motivation-strategy intervention. 100 respondents x 30 items = 3000 responses. Reference Okoro, L. (2022). Replication Data for Effect of Motivation Strategies on Students' Interest [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/QAWGJV Licence CC0 1.0 Source data https://doi.org/10.7910/DVN/QAWGJV
Size and shape
Responses 3,000 Respondents 100 Items 30 Response categories 4 Responses per respondent 30 Responses per item 100 Density 1 Longitudinal FALSE
Classification
sample Educational measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) eng
Columns
cov_age_band cov_class cov_gender id item resp treat
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("okoro_2022_interest_inventory")
# Python
pip install irw
import irw
df = irw.fetch("okoro_2022_interest_inventory")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_4 v7.0 Redivis dataset DOI 10.57761/cpj5-vm97 Manifest pin for this IRW version v7.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_4 v7.0.