Item Response Warehouse / Tables / genpsych_russell_2024_llama3genpsych_russell_2024_llama3
30,030 responses from 1,001 respondents to 30 items.
About this table
Description LLM-generated big 5 inventory Reference Russell-Lasalandra, L. L., Christensen, A. P., & Golino, H. (2024, September 12). Generative Psychometrics via AI-GENIE: Automatic Item Generation and Validation via Network-Integrated Evaluation. https://doi.org/10.31234/osf.io/fgbj4 DOI 10.31234/osf.io/fgbj4 Licence CC0 1.0 Source data https://osf.io/zcytb/?view_only=79d2c8bf12c24393863d60c4143f8a0e
Size and shape
Responses 30,030 Respondents 1,001 Items 30 Response categories 5 Responses per respondent 30 Responses per item 1,001 Density 1 Longitudinal FALSE
Classification
age range Adult (18+) sample Internet-based construct type Personality measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) eng construct name Big Five
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
Instrument AI-GENIE Llama-3 Big Five personality inventory (Russell-Lasalandra, Christensen & Golino, 2024) Mean words per item 9.567 Mean characters per item 54.233 Mean characters per response 14 Flesch-Kincaid grade level 7.411
Columns
cov_age cov_english cov_gender cov_hispanic cov_race id item resp
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("genpsych_russell_2024_llama3")
# Python
pip install irw
import irw
df = irw.fetch("genpsych_russell_2024_llama3")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse v53.0 Redivis dataset DOI 10.57761/4g08-xt41 Manifest pin for this IRW version v53.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse v53.0.