4,140 responses from 345 respondents to 12 items.
| Description | Positive Cognition scale (12 items, 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 | 4,140 |
|---|---|
| Respondents | 345 |
| Items | 12 |
| Response categories | 5 |
| Responses per respondent | 12 |
| 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 | Attention to Positive and Negative Information Inventory, Chinese version (APNI; Noguchi, Gohm & Dalsky 2006; Chinese revision by Feng et al. 2015) -- Attention to Positive Information subscale, 12 items |
|---|---|
| Mean words per item | 11.333 |
| Mean characters per item | 58.750 |
| Mean characters per response | 14.200 |
| Flesch-Kincaid grade level | 6.617 |
cov_agecov_gendercov_only_childcov_urbaniditemitem_textresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("liu_2025_positive_cognition")
# Python
pip install irw
import irw
df = irw.fetch("liu_2025_positive_cognition")
| 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 |