43,228 responses from 1,351 respondents to 20 items.
| Description | Positive and Negative Affect Scale (PANAS) measures the trait levels of both positive and negative emotional states. |
|---|---|
| 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 | 43,228 |
|---|---|
| Respondents | 1,351 |
| Items | 20 |
| Response categories | 5 |
| Responses per respondent | 31.997 |
| Responses per item | 2161.400 |
| Density | 1.600 |
| Longitudinal | TRUE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Child (6-12y), Adolescent (12-18y) |
| sample | Educational, Representative, Targeted/specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Positive and Negative Affect Scale (PANAS) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Positive and Negative Affect Scale (PANAS) measures the trait levels of both positive and negative emotional states. |
|---|---|
| Mean words per item | 2 |
| Mean characters per item | 10.950 |
| Mean characters per response | 13 |
| Flesch-Kincaid grade level | 5.187 |
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_panas")
# Python
pip install irw
import irw
df = irw.fetch("florida_twins_panas")
| 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 |