1,530 responses from 170 respondents to 18 items.
| Description | Meaning in Life Questionnaire |
|---|---|
| Reference | Klimova, Aigul, Deviatko, Inna, Lebedev, Daniil, and Semenova, Tatiana. Cognitive Load: Fully-labeled or end-labeled scales. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-09-26. https://doi.org/10.3886/E194063V2 |
| Licence | CC BY 4.0 |
| Source data | https://www.openicpsr.org/openicpsr/project/194063/version/V2/view |
| Responses | 1,530 |
|---|---|
| Respondents | 170 |
| Items | 18 |
| Response categories | 7 |
| Responses per respondent | 9 |
| Responses per item | 85 |
| Density | 0.500 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | rus |
| construct name | Meaning in Life Questionnaire |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Meaning in Life Questionnaire (MLQ), Russian administration |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 10.643 |
| Flesch-Kincaid grade level | -3.400 |
cov_agecov_coffeecov_drugscov_eyesight_problemscov_femalecov_glasses_lensescov_group1cov_group2cov_q1cov_q2cov_q3cov_q4cov_q5iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("cognitive_load_klimova_2023_mlq")
# Python
pip install irw
import irw
df = irw.fetch("cognitive_load_klimova_2023_mlq")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |