vocabulary_iq
912,975 responses from 12,173 respondents to 75 items.
About this table
| Description | Data on vocabulary knowledge and personality items |
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| Reference | (2018). Vocabulary IQ Test [dataset and codebook]. http://openpsychometrics.org/_rawdata/VIQT_data.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 | 912,975 |
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| Respondents | 12,173 |
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| Items | 75 |
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| Response categories | 2 |
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| Responses per respondent | 75 |
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| Responses per item | 12,173 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Mixed |
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| sample | Internet-based |
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| construct type | Personality |
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| measurement tool | Test |
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| item format | Mixed |
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| primary language(s) | eng |
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| construct name | Vocabulary IQ Test |
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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 | Vocabulary IQ Test (VIQT), with its optional supplemental survey |
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| Mean words per item | 5.517 |
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| Mean characters per item | 36.300 |
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| Mean characters per response | 6.500 |
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| Flesch-Kincaid grade level | 15.475 |
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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("vocabulary_iq")
# Python
pip install irw
import irw
df = irw.fetch("vocabulary_iq")
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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