1,890 responses from 315 respondents to 3 items.
| Description | Preservice English teachers' essay-assessment self-concept, before and after rating |
|---|---|
| Reference | Lohmann, J. F., Lötscher, F., Junge, F., Keller, S., Jansen, T., Fleckenstein, J., & Möller, J. (2026). Testing teacher judgments comprehensively: Accuracy, halo, frame of reference, strategy, and personality effects in holistic and analytic assessments of student essays.Journal of Educational Psychology, 118(6), 941–960. |
| DOI | 10.1037/edu0000969 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/eu2zb/overview |
| Responses | 1,890 |
|---|---|
| Respondents | 315 |
| Items | 3 |
| Response categories | 4 |
| Responses per respondent | 6 |
| Responses per item | 630 |
| Density | 2 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, Targeted/specific |
| construct type | Cognitive/educational, Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Essay Assessment Self-Concept |
cov_agecov_countrycov_country_schoolcov_english_levelcov_essay_time_total_scov_experiencecov_gendercov_n_jumpscov_semestercov_total_time_siditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("teacherjudgements_lohmann_2026_selfconcept")
# Python
pip install irw
import irw
df = irw.fetch("teacherjudgements_lohmann_2026_selfconcept")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |