florida_twins_behavior_panas
88,202 responses from 1,387 respondents to 40 items.
About this table
| Description | Positive and Negative Affect Scale (PANAS) measures the trait levels of both positive and negative emotional states. |
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| Reference | Schatschneider, C., Lonigan, C., & Taylor, J. E. (2021). Behavior and Environment Survey Codebook. LDbase. http://ldbase.org/documents/c4669c5b-9853-45be-a33f-9dff7102de20 |
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| Licence | CC BY 4.0 |
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| Source data | https://ldbase.org/documents/c4669c5b-9853-45be-a33f-9dff7102de20 |
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Size and shape
| Responses | 88,202 |
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| Respondents | 1,387 |
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| Items | 40 |
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| Response categories | 5 |
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| Responses per respondent | 63.592 |
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| Responses per item | 2205.050 |
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| Density | 1.590 |
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| Longitudinal | FALSE |
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Classification
| age range | Child (<18y) |
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| child age (for child-focused studies) | Child (6-12y), Adolescent (12-18y) |
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| sample | Educational, Representative, Targeted/specific |
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| construct type | Affective/mental health |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng |
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| construct name | Positive and Negative Affect Scale (PANAS) |
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Item text
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. |
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| Mean words per item | 1 |
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| Mean characters per item | 7.400 |
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| Mean characters per response | 13 |
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| Flesch-Kincaid grade level | 13.779 |
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Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("florida_twins_behavior_panas")
# Python
pip install irw
import irw
df = irw.fetch("florida_twins_behavior_panas")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse v53.0 |
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| Redivis dataset DOI | 10.57761/4g08-xt41 |
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| Manifest pin for this IRW version | v53.0 |
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| Metadata source | irw_meta v23.0 |
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