theobald_2017_group_dynamics
2,600 responses from 684 respondents to 2 items.
About this table
| Description | Undergraduate biology students' comfort and perceived-dominator ratings (2 items, 1-6 scale) of their group across 1-3 group-work topics (wave) |
| Reference | Theobald EJ, Eddy SL, Grunspan DZ, Wiggins BL, Crowe AJ (2017). Student perception of group dynamics predicts individual performance: Comfort and equity matter. PLOS ONE. |
| DOI | 10.1371/journal.pone.0181336 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0181336.s001 |
Size and shape
| Responses | 2,600 |
| Respondents | 684 |
| Items | 2 |
| Response categories | 6 |
| Responses per respondent | 3.801 |
| Responses per item | 1,300 |
| Density | 1.901 |
| Longitudinal | TRUE |
Classification
| sample | Educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | ASPECT survey (Assessing Student Perception of Engagement in the Classroom Tool) -- group dynamics items |
| Mean words per item | 7.500 |
| Mean characters per item | 51.500 |
| Mean characters per response | 12.500 |
| Flesch-Kincaid grade level | 10.935 |
Columns
cov_ethnicitycov_gendercov_topiciditemrespwave
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("theobald_2017_group_dynamics")
# Python
pip install irw
import irw
df = irw.fetch("theobald_2017_group_dynamics")
Version and provenance
| 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 |