6,495 responses from 433 respondents to 15 items.
One of 4 tables from the same source; this one measures Short Form of the Test Anxiety Inventory–German Version (TAI-G). The others are listed under Related tables.
| Description | A short form of the Test Anxiety Inventory–German version(TAI) |
|---|---|
| Reference | Breuer, S., Scherndl, T., & Ortner, T. M. (2024, September 27). Effects of response format on psychometric properties and fairness of a matrices test: multiple choice versus free response. Retrieved from osf.io/5ru9q |
| DOI | 10.3389/feduc.2020.00015 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/5ru9q/ |
| Responses | 6,495 |
|---|---|
| Respondents | 433 |
| Items | 15 |
| Response categories | 4 |
| Responses per respondent | 15 |
| Responses per item | 433 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| construct type | Affective/mental health, Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ger |
| construct name | Short Form of the Test Anxiety Inventory–German Version (TAI-G) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, erf_breuer_2017.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). | nr |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | age |
cov_gender | Covariate | gender |
What item codes and covariate values stand for is in the codebook released with the source data.
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("erf_breuer_2017_tai")
# Python
pip install irw
import irw
df = irw.fetch("erf_breuer_2017_tai")
@article{Breuer_2020, title={Effects of Response Format on Psychometric Properties and Fairness of a Matrices Test: Multiple Choice vs. Free Response}, volume={5}, ISSN={2504-284X}, url={http://dx.doi.org/10.3389/feduc.2020.00015}, DOI={10.3389/feduc.2020.00015}, journal={Frontiers in Education}, publisher={Frontiers Media SA}, author={Breuer, Sonja and Scherndl, Thomas and Ortner, Tuulia M.}, year={2020}, month=feb }
| IRW version | v557 |
|---|---|
| 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 v40.0 |