3,339 responses from 288 respondents to 6 items.
| Description | Exploring the Value of Double Marking in Dissertation Assessments |
|---|---|
| Reference | Steele, J., Shaw, M., & Shaw, M. (2022, September 29). Exploring the Value of Double Marking in Dissertation Assessments. Retrieved from osf.io/nd3k8 |
| DOI | 10.35542/osf.io/ug7yb |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/nd3k8/overview |
| Responses | 3,339 |
|---|---|
| Respondents | 288 |
| Items | 6 |
| Response categories | 18 |
| Responses per respondent | 11.594 |
| Responses per item | 556.500 |
| Density | 1.932 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Cognitive/educational |
| measurement tool | Observational rating |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | The Value of Double Marking in Dissertation Assessment |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Exploring the Value of Double Marking in Dissertation Assessments |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 9.093 |
| Mean characters per response | 92.333 |
| Flesch-Kincaid grade level | 59.526 |
iditemraterrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("double_marking_steele_2022")
# Python
pip install irw
import irw
df = irw.fetch("double_marking_steele_2022")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |