Validation of Serbian version of the LittlEARS® Early Speech Production Questionnaire for the assessment of early language development in typically developing children
Bibliographic record
Abstract
OBJECTIVE: The LittlEARS® Early Speech Production Questionnaire (LEESPQ) was developed to provide professionals with valuable information about children's earliest language development and has been successfully validated in several languages. This study aimed to validate the Serbian version of the LEESPQ in typically developing children and compare the results with validation studies in other languages. METHODS: The English version of the LEESPQ was back-translated into Serbian. Parents completed the questionnaire in paper or electronic form either during the visit to the paediatric clinic or through personal contact. A total of 206 completed questionnaires were collected. Standardized expected values were calculated using a second-order polynomial model for children up to 18 months of age to create a norm curve for the Serbian language. The results were then used to determine confidence intervals, with the lower limit being the critical limit for typical speech-language development. Finally, the results were compared with German and Canadian English developmental norms. RESULTS: The Serbian LEESPQ version showed high homogeneity (r = .622) and internal consistency (α = .882), indicating that it almost exclusively measures speech production ability. No significant difference in total score was found between male and female infants (U = 4429.500, p = .090), so it can be considered a gender-independent questionnaire. The results of the comparison between Serbian and German (U = 645.500, p = .673) and Serbian and English norm curves (U = 652.000, p = .725) show that the LEESPQ can be applied to different population groups, regardless of linguistic, cultural or sociological differences. CONCLUSION: The LEESPQ is a valid, age-dependent and gender-independent questionnaire suitable for assessing early speech development in children aged from birth to 18 months.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".