consideration_future_consequences
180,420 responses from 15,035 respondents to 12 items.
About this table
| Description | Likert scale responses statements on how actions may effect future consequences |
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| Reference | Consideration of Future Consequences Scale [dataset and codebook]. http://openpsychometrics.org/_rawdata/CFCS.zip |
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| Licence | CC BY 4.0 |
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| Source data | http://openpsychometrics.org/_rawdata/ |
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Size and shape
| Responses | 180,420 |
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| Respondents | 15,035 |
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| Items | 12 |
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| Response categories | 5 |
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| Responses per respondent | 12 |
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| Responses per item | 15,035 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| sample | Educational |
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| construct type | Behavioral |
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| measurement tool | Test |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng |
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| construct name | Experiences in Close Relationships Scale |
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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 | Consideration of Future Consequences Scale (CFCS; Strathman, Gleicher, Boninger & Edwards, 1994), openpsychometrics.org raw-data release |
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| Mean words per item | 19.500 |
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| Mean characters per item | 111.833 |
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| Mean characters per response | 21.400 |
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| Flesch-Kincaid grade level | 11.330 |
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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("consideration_future_consequences")
# Python
pip install irw
import irw
df = irw.fetch("consideration_future_consequences")
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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