Validating the Short-form Foreign Language Classroom Anxiety Scale
Bibliographic record
Abstract
Abstract Foreign language classroom anxiety (FLCA) is a popular construct in applied linguistics research, traditionally measured with the 33-item Foreign Language Classroom Anxiety Scale (FLCAS). However, recent studies have started utilizing the eight-item Short-Form FLCAS (S-FLCAS). There is therefore a need, which this study addressed in five sequential steps, to validate the S-FLCAS in order to ensure the validity and reliability of the scale. A sample of n = 370 foreign language learners was utilized in the validation efforts, which included exploratory and confirmatory factor analyses, the establishment of convergent and discriminant validity, and invariance testing. The S-FLCAS was found to have a unidimensional structure with the eight items loading on a single latent variable. Evidence was provided of the internal consistency and the convergent and discriminate validity of the S-FLCAS. In addition, the measure was found to be fully invariant across age, gender, educational levels, and L1 groups. It is, therefore, with some considerable confidence that we can recommend the future use of the S-FLCAS in peer-reviewed research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".