5,823 responses from 1,485 respondents to 4 items.
| Description | Responses to job satisfaction items |
|---|---|
| Reference | Bartolucci, F., Bacci, S., & Gnaldi, M. (2015). Statistical analysis of questionnaires: A unified approach based on R and Stata (Vol. 34). CRC press. |
| DOI | 10.1201/b18735 |
| Licence | GPL-3.0 |
| Source data | https://cran.r-project.org/web/packages/MLCIRTwithin/index.html |
| Responses | 5,823 |
|---|---|
| Respondents | 1,485 |
| Items | 4 |
| Response categories | 5 |
| Responses per respondent | 3.921 |
| Responses per item | 1455.750 |
| Density | 0.980 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | job statisfaction |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("RLMS_MLCIRTwithin")
# Python
pip install irw
import irw
df = irw.fetch("RLMS_MLCIRTwithin")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |