reinwarth_2023_domain_importance
19,581 responses from 2,460 respondents to 8 items.
About this table
| Description | German representative population survey: importance and satisfaction ratings across 8 life domains, and a 6-item psychological-symptoms battery |
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| Reference | Reinwarth, A. et al. (2023). PLOS ONE. https://doi.org/10.1371/journal.pone.0279701 |
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| DOI | 10.1371/journal.pone.0279701 |
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| Licence | CC BY 4.0 |
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| Source data | https://doi.org/10.1371/journal.pone.0279701 |
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Size and shape
| Responses | 19,581 |
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| Respondents | 2,460 |
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| Items | 8 |
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| Response categories | 5 |
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| Responses per respondent | 7.960 |
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| Responses per item | 2447.625 |
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| Density | 0.995 |
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| Longitudinal | FALSE |
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Classification
| age range | Mixed |
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| child age (for child-focused studies) | Adolescent (12-18y) |
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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) | ger |
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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 | Fragen zur Lebenszufriedenheit (FLZM) — General Life Satisfaction module, importance ratings |
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| Mean words per item | 1.625 |
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| Mean characters per item | 20.250 |
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| Mean characters per response | 13.600 |
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| Flesch-Kincaid grade level | 52.320 |
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Columns
cov_agecov_educationcov_gendercov_marital_statusiditemresp
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("reinwarth_2023_domain_importance")
# Python
pip install irw
import irw
df = irw.fetch("reinwarth_2023_domain_importance")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_3 v7.0 |
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| Redivis dataset DOI | 10.57761/pqqn-pm43 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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