5,520 responses from 345 respondents to 16 items.
One of 3 tables from the same source; this one is the learning_motivation table. The others are listed under Related tables.
| Description | Learning Motivation scale (16 items, intrinsic + extrinsic, 1-5 Likert), N=345 Chinese college students |
|---|---|
| Reference | Liu S-h, Gong X-l, Ji Q, Li Q-q, Kong M-h, Du X-h, Xiang L-y, Zhu Z-r (2025) Meaning in life, positive cognition, and learning motivation: A mediational analysis among Chinese college students. PLoS One 20(9): e0330447. |
| DOI | 10.1371/journal.pone.0330447 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0330447 |
| Responses | 5,520 |
|---|---|
| Respondents | 345 |
| Items | 16 |
| Response categories | 5 |
| Responses per respondent | 16 |
| Responses per item | 345 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Learning Motivation Questionnaire (LMQ; compiled by Wang W., 2006) |
|---|---|
| Mean words per item | 15.875 |
| Mean characters per item | 85.875 |
| Mean characters per response | 8.200 |
| Flesch-Kincaid grade level | 8.766 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, liu_2025_meaning_learning.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | 序号 |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | 4、您的年龄是？ |
cov_gender | Covariate | 3、您的性别：（男=1，女=0） |
cov_only_child | Covariate | 6、请问您是否是独生子女？（是=1，否=0） |
cov_urban | Covariate | 5、您的家庭所在地？（城市=1，农村=0） |
| Other columns | ||
item_text | Not documented Not documented by the IRW; see the source’s codebook. | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("liu_2025_learning_motivation")
# Python
pip install irw
import irw
df = irw.fetch("liu_2025_learning_motivation")
@article{Liu_2025, title={Meaning in life, positive cognition, and learning motivation: A mediational analysis among Chinese college students}, volume={20}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0330447}, DOI={10.1371/journal.pone.0330447}, number={9}, journal={PLOS One}, publisher={Public Library of Science (PLoS)}, author={Liu, Shi-hong and Gong, Xiao-li and Ji, Qi and Li, Qiao-qiao and Kong, Ming-hui and Du, Xiao-hui and Xiang, Lei-ying and Zhu, Zhi-ru}, editor={Tilga, Henri}, year={2025}, month=Sept, pages={e0330447} }
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v13.0 |
| Redivis dataset DOI | 10.57761/gpg7-sg87 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v39.0 |