900 responses from 225 respondents to 4 items.
One of 4 tables from the same source; this one is the pbc table. The others are listed under Related tables.
| Description | Perceived behavioral control toward pro-environmental action (author-compiled), 4 items, 1 (strongly disagree) to 5 (strongly agree). Grade 5-6 pupils (ages 11-12) at eight elementary schools around Hsinchu Science Park, Taiwan; cov_smartphone_use (excessive >2 h/day vs moderate). N=225. |
|---|---|
| Reference | Fang WT, Ng E, Liu SM, Chiang YT, Chang MC (2021). Determinants of pro-environmental behavior among excessive smartphone usage children and moderate smartphone usage children in Taiwan. PeerJ, 9, e11635. https://doi.org/10.7717/peerj.11635 |
| DOI | 10.7717/peerj.11635 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.7717/peerj.11635 |
| Responses | 900 |
|---|---|
| Respondents | 225 |
| Items | 4 |
| Response categories | 5 |
| Responses per respondent | 4 |
| Responses per item | 225 |
| Density | 1 |
| Longitudinal | FALSE |
| 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 | Perceived behavioral control (author-compiled, 4 items) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 14 |
| Flesch-Kincaid grade level | -3.400 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, fang_2021_pro_environmental.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). | number |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_gender | Covariate | gender(1=male, 2=female) |
cov_grade | Covariate | student_grade |
cov_smartphone_use | Covariate | Smartphone usage(1= Excessive; 2 = Moderate) |
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("fang_2021_pbc")
# Python
pip install irw
import irw
df = irw.fetch("fang_2021_pbc")
@article{Fang_2021, title={Determinants of pro-environmental behavior among excessive smartphone usage children and moderate smartphone usage children in Taiwan}, volume={9}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.11635}, DOI={10.7717/peerj.11635}, journal={PeerJ}, publisher={PeerJ}, author={Fang, Wei-Ta and Ng, Eric and Liu, Shu-Mei and Chiang, Yi-Te and Chang, Mei-Chuan}, year={2021}, month=June, pages={e11635} }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |