4,215 responses from 1,405 respondents to 3 items.
| Description | The GAC is the sum of the affect adjectives grateful, thankful, and appreciative. The GAC can be used to measure gratitude as an emotion, mood, or disposition depending on the timeframe specified in the instructions |
|---|---|
| Reference | Froh, J. J., Fan, J., Emmons, R. A., Bono, G., Huebner, E. S., & Watkins, P. (2011). Measuring gratitude in youth: Assessing the psychometric properties of adult gratitude scales in children and adolescents. Psychological Assessment, 23(2), 311–324. https://doi.org/10.1037/a0021590 |
| DOI | 10.1037/a0021590 |
| Licence | GPL-3.0 |
| Source data | https://cran.r-project.org/web/packages/psychotools/index.html |
| Responses | 4,215 |
|---|---|
| Respondents | 1,405 |
| Items | 3 |
| Response categories | 5 |
| Responses per respondent | 3 |
| Responses per item | 1,405 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational, Representative |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Gratitude Adjective Checklist (GAC) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | The GAC is the sum of the affect adjectives grateful, thankful, and appreciative. The GAC can be used to measure gratitude as an emotion, mood, or disposition depending on the timeframe specified in the instructions |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 9.333 |
| Mean characters per response | 9.600 |
| Flesch-Kincaid grade level | 20.200 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("psychotools_gratitude_gac")
# Python
pip install irw
import irw
df = irw.fetch("psychotools_gratitude_gac")
| 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 |