Item Response Warehouse / Tables / baka2023_olbibaka2023_olbi
20,114 responses from 839 respondents to 8 items.
About this table
Description OLBI (Oldenburg Burnout Inventory), 1-4 Likert; N=839, 8 items, 3 waves, Polish employees Reference Baka, L., & Prusik, M. (2023). Three-Wave Study on the Effects of Approach- and Avoidance-Oriented Job Crafting on Job-Related Well-Being: The Mediation Role of Satisfaction and Frustration of Basic Psychological Needs at Work. figshare. Licence CC BY 4.0 Source data https://figshare.com/articles/dataset/Baza_repozytorium_Baka_Prusik_sav/21988799
Size and shape
Responses 20,114 Respondents 839 Items 8 Response categories 4 Responses per respondent 23.974 Responses per item 2514.250 Density 2.997 Longitudinal TRUE
Classification
age range Adult (18+) sample Workplace measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) pol
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
Instrument Oldenburg Burnout Inventory (OLBI), Polish version (8-item form administered) Mean words per item 10.125 Mean characters per item 63.750 Mean characters per response 15.500 Flesch-Kincaid grade level 8.909
Columns
cov_age cov_gender cov_locality cov_voivodeship id item resp wave
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("baka2023_olbi")
# Python
pip install irw
import irw
df = irw.fetch("baka2023_olbi")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_3 v7.0 Redivis dataset DOI 10.57761/pqqn-pm43 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_3 v7.0.