Intelligibility in Context Scale: Psychometric evidence and implications for Saudi Arabic-English-speaking preschoolers
Bibliographic record
Abstract
Purpose: To evaluate the reliability, validity, and diagnostic accuracy (sensitivity, specificity) of the Intelligibility in Context Scale in Saudi Arabic (ICS-SA) and English (ICS-E) as potential measures of functional speech intelligibility in bilingual preschool-aged Saudi Arabian children.Method: The study included 36 parent-child (aged 3;0 to 6;5 years; months) dyads who were bilingual speakers of Saudi Arabic and English, which included two groups—typically developing (TD, n = 29) and suspected speech sound disordered (sSSD, n = 7). The children’s intelligibility was evaluated in both languages using the ICS-SA and ICS-E. Children’s single-word productions were collected in both languages and calculated for percentage of consonants, vowels, and phonemes correct (i.e. PCC/PVC/PPC) to establish their speech-sound competence.Result: The mean scores for the entire sample (n = 36) were 4.43 (SD = 0.79) for the ICS-SA and 4.48 (SD = 0.79) for the ICS-E, showing that parents rated their children’s intelligibility in both languages similarly. Both the ICS-SA and ICS-E demonstrated excellent internal consistency (α = 0.96 and α = 0.95, respectively). There was high inter-rater and test-retest reliability for the ICS-SA, while there was fair to high inter-rater and test-retest reliability in ICS-E. Significant correlations were found for the ICS-SA, but weak correlations were noted for the ICS-E, which indicated fair to moderate evidence of criterion validity. Construct validity efforts indicated a weak correlation with age on both the ICS-SA and ICS-E. The findings also indicated high discriminant accuracy for both the ICS-SA (0.86, 0.86) and ICS-E (0.71, 0.69).Conclusion: This study provides initial validation and reliability evidence for using the ICS-SA and ICS-E with Saudi Arabic- and English-speaking preschoolers, however, ICS-E scores suggest further testing is warranted. By extension, these findings expand the bilingual knowledge base and offer new tools for identifying children in Saudi Arabia who may be at risk for having a speech sound disorder.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".