2,600 responses from 200 respondents to 13 items.
| Description | Smart home use intention among elderly consumers; N=200, 13 items across TAM constructs (perceived usefulness, ease of use, use intention, intention to switch, perceived value, perceived risk), 1-5 Likert |
|---|---|
| Reference | Zhou, C.; Qian, Y.; Kaner, J. (2024). A study on smart home use intention of elderly consumers based on technology acceptance models. PLOS ONE. DOI: 10.1371/journal.pone.0300574 |
| DOI | 10.1371/journal.pone.0300574 |
| Licence | CC BY 4.0 |
| Source data | https://plos.figshare.com/articles/dataset/Questionnaire_survey_on_the_intention_of_elderly_consumers_to_use_smart_homes/24390218 |
| Responses | 2,600 |
|---|---|
| Respondents | 200 |
| Items | 13 |
| Response categories | 5 |
| Responses per respondent | 13 |
| Responses per item | 200 |
| Density | 1 |
| Longitudinal | FALSE |
| measurement tool | Survey/questionnaire |
|---|---|
| item format | Likert Scale/selected response |
| primary language(s) | chi |
cov_agecov_educationcov_experiencecov_gendercov_incomecov_living_conditioncov_self_careiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("zhou_2024_smart_home_intention")
# Python
pip install irw
import irw
df = irw.fetch("zhou_2024_smart_home_intention")
| 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 |