12,516 responses from 1,043 respondents to 12 items.
One of 2 tables from the same source; this one measures Utilitarian Inclinations and Deontological Inclinations in moral judgment, measured via the Process Dissociation Procedure. The others are listed under Related tables.
| Description | High-conflict Dilemmas |
|---|---|
| Reference | Kunnari, A., Sundvall, J. R., & Laakasuo, M. (2020). Challenges in process dissociation measures for moral cognition. Frontiers in Psychology, 11, 559934. |
| DOI | 10.3389/fpsyg.2020.559934 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/vmy4q/ |
| Responses | 12,516 |
|---|---|
| Respondents | 1,043 |
| Items | 12 |
| Response categories | 7 |
| Responses per respondent | 12 |
| Responses per item | 1,043 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific, Internet-based |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Utilitarian Inclinations and Deontological Inclinations in moral judgment, measured via the Process Dissociation Procedure |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | High-Conflict Moral Dilemmas (Greene et al., 2004 battery) |
|---|---|
| Mean words per item | 22.750 |
| Mean characters per item | 120.167 |
| Mean characters per response | 7 |
| Flesch-Kincaid grade level | 10.326 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, CPDMMC_Kunnari_2020.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
What item codes and covariate values stand for is in the source’s codebook, PDP_codebook.pdf.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("CPDMMC_Kunnari_2020_HCD")
# Python
pip install irw
import irw
df = irw.fetch("CPDMMC_Kunnari_2020_HCD")
@article{Kunnari_2020, title={Challenges in Process Dissociation Measures for Moral Cognition}, volume={11}, ISSN={1664-1078}, url={http://dx.doi.org/10.3389/fpsyg.2020.559934}, DOI={10.3389/fpsyg.2020.559934}, journal={Frontiers in Psychology}, publisher={Frontiers Media SA}, author={Kunnari, Anton and Sundvall, Jukka R. I. and Laakasuo, Michael}, year={2020}, month=nov }
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v43.0 |