Veterans_Affairs_SSVF_Survey_2018-20
1,475,369 responses from 26,347 respondents to 56 items.
About this table
| Description | VA Satisfaction survey related to supportive services for low-income veterans (2-18-2020) |
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| Reference | https://www.data-liberation-project.org/datasets/va-ssvf-survey-data/ |
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| Licence | CC BY-SA 4.0 |
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| Source data | https://github.com/data-liberation-project/va-ssvf-survey-data |
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Size and shape
| Responses | 1,475,369 |
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| Respondents | 26,347 |
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| Items | 56 |
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| Response categories | 5 |
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| Responses per respondent | 55.998 |
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| Responses per item | 26345.875 |
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| Density | 1.000 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| sample | Program-based, Targeted/specific |
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| construct type | Opinion/attitude |
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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 | VA SSVF Satisfaction Survey Data |
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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 | VA Satisfaction survey related to supportive services for low-income veterans (2-18-2020) |
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| Mean words per item | 14.740 |
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| Mean characters per item | 99.040 |
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| Mean characters per response | 7.740 |
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| Flesch-Kincaid grade level | 10.076 |
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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("Veterans_Affairs_SSVF_Survey_2018-20")
# Python
pip install irw
import irw
df = irw.fetch("Veterans_Affairs_SSVF_Survey_2018-20")
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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