10,997 responses from 879 respondents to 8 items.
| Description | DWECK scale evaluates a child's implicit ideas about intelligence. |
|---|---|
| Reference | Hart, S. A., Schatschneider, C., & Taylor, J. E. (2021). Wave 1, Wave 2, Wave 3 Child Survey Measures. LDbase. https://doi.org/10.33009/ldbase.1624481381.d9ec |
| Licence | CC BY 4.0 |
| Source data | https://ldbase.org/datasets/3f7033dd-47a5-4ef8-aeab-08a559dce0d1 |
| Responses | 10,997 |
|---|---|
| Respondents | 879 |
| Items | 8 |
| Response categories | 6 |
| Responses per respondent | 12.511 |
| Responses per item | 1374.625 |
| Density | 1.564 |
| Longitudinal | TRUE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Child (6-12y), Adolescent (12-18y) |
| sample | Educational, Representative, Targeted/specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | DWECK scale |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | DWECK scale evaluates a child's implicit ideas about intelligence. |
|---|---|
| Mean words per item | 12.125 |
| Mean characters per item | 72 |
| Mean characters per response | 11.500 |
| Flesch-Kincaid grade level | 7.386 |
cov_ageiditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("florida_twins_dweck")
# Python
pip install irw
import irw
df = irw.fetch("florida_twins_dweck")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |